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huggingface-models-processed

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translation	transformers	### opus-mt-gil-en * source languages: gil * target languages: en * OPUS readme: [gil-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gil-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/gil-en/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-en/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-en/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.gil.en \| 36.0 \| 0.522 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-gil-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "gil", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #gil #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-gil-en * source languages: gil * target languages: en * OPUS readme: gil-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 36.0, chr-F: 0.522	[ "### opus-mt-gil-en\n\n\n* source languages: gil\n* target languages: en\n* OPUS readme: gil-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 36.0, chr-F: 0.522" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #gil #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-gil-en\n\n\n* source languages: gil\n* target languages: en\n* OPUS readme: gil-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 36.0, chr-F: 0.522" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #gil #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-gil-en\n\n\n* source languages: gil\n* target languages: en\n* OPUS readme: gil-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 36.0, chr-F: 0.522" ]
translation	transformers	### opus-mt-gil-es * source languages: gil * target languages: es * OPUS readme: [gil-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gil-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/gil-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.gil.es \| 21.8 \| 0.398 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-gil-es	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "gil", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #gil #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-gil-es * source languages: gil * target languages: es * OPUS readme: gil-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 21.8, chr-F: 0.398	[ "### opus-mt-gil-es\n\n\n* source languages: gil\n* target languages: es\n* OPUS readme: gil-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.8, chr-F: 0.398" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #gil #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-gil-es\n\n\n* source languages: gil\n* target languages: es\n* OPUS readme: gil-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.8, chr-F: 0.398" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #gil #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-gil-es\n\n\n* source languages: gil\n* target languages: es\n* OPUS readme: gil-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.8, chr-F: 0.398" ]
translation	transformers	### opus-mt-gil-fi * source languages: gil * target languages: fi * OPUS readme: [gil-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gil-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/gil-fi/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-fi/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-fi/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.gil.fi \| 23.1 \| 0.447 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-gil-fi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "gil", "fi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #gil #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-gil-fi * source languages: gil * target languages: fi * OPUS readme: gil-fi * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 23.1, chr-F: 0.447	[ "### opus-mt-gil-fi\n\n\n* source languages: gil\n* target languages: fi\n* OPUS readme: gil-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.1, chr-F: 0.447" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #gil #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-gil-fi\n\n\n* source languages: gil\n* target languages: fi\n* OPUS readme: gil-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.1, chr-F: 0.447" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #gil #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-gil-fi\n\n\n* source languages: gil\n* target languages: fi\n* OPUS readme: gil-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.1, chr-F: 0.447" ]
translation	transformers	### opus-mt-gil-fr * source languages: gil * target languages: fr * OPUS readme: [gil-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gil-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/gil-fr/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-fr/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-fr/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.gil.fr \| 24.9 \| 0.424 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-gil-fr	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "gil", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #gil #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-gil-fr * source languages: gil * target languages: fr * OPUS readme: gil-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 24.9, chr-F: 0.424	[ "### opus-mt-gil-fr\n\n\n* source languages: gil\n* target languages: fr\n* OPUS readme: gil-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.9, chr-F: 0.424" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #gil #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-gil-fr\n\n\n* source languages: gil\n* target languages: fr\n* OPUS readme: gil-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.9, chr-F: 0.424" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #gil #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-gil-fr\n\n\n* source languages: gil\n* target languages: fr\n* OPUS readme: gil-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.9, chr-F: 0.424" ]
translation	transformers	### opus-mt-gil-sv * source languages: gil * target languages: sv * OPUS readme: [gil-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gil-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/gil-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gil-sv/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.gil.sv \| 25.8 \| 0.441 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-gil-sv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "gil", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #gil #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-gil-sv * source languages: gil * target languages: sv * OPUS readme: gil-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 25.8, chr-F: 0.441	[ "### opus-mt-gil-sv\n\n\n* source languages: gil\n* target languages: sv\n* OPUS readme: gil-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.8, chr-F: 0.441" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #gil #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-gil-sv\n\n\n* source languages: gil\n* target languages: sv\n* OPUS readme: gil-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.8, chr-F: 0.441" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #gil #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-gil-sv\n\n\n* source languages: gil\n* target languages: sv\n* OPUS readme: gil-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.8, chr-F: 0.441" ]
translation	transformers	### glg-eng * source group: Galician * target group: English * OPUS readme: [glg-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/glg-eng/README.md) * model: transformer-align * source language(s): glg * target language(s): eng * model: transformer-align * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/glg-eng/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/glg-eng/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/glg-eng/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.glg.eng \| 44.4 \| 0.628 \| ### System Info: - hf_name: glg-eng - source_languages: glg - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/glg-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['gl', 'en'] - src_constituents: {'glg'} - tgt_constituents: {'eng'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/glg-eng/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/glg-eng/opus-2020-06-16.test.txt - src_alpha3: glg - tgt_alpha3: eng - short_pair: gl-en - chrF2_score: 0.628 - bleu: 44.4 - brevity_penalty: 0.975 - ref_len: 8365.0 - src_name: Galician - tgt_name: English - train_date: 2020-06-16 - src_alpha2: gl - tgt_alpha2: en - prefer_old: False - long_pair: glg-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["gl", "en"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-gl-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "gl", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "gl", "en" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #gl #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### glg-eng * source group: Galician * target group: English * OPUS readme: glg-eng * model: transformer-align * source language(s): glg * target language(s): eng * model: transformer-align * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 44.4, chr-F: 0.628 ### System Info: * hf\_name: glg-eng * source\_languages: glg * target\_languages: eng * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['gl', 'en'] * src\_constituents: {'glg'} * tgt\_constituents: {'eng'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm12k,spm12k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: glg * tgt\_alpha3: eng * short\_pair: gl-en * chrF2\_score: 0.628 * bleu: 44.4 * brevity\_penalty: 0.975 * ref\_len: 8365.0 * src\_name: Galician * tgt\_name: English * train\_date: 2020-06-16 * src\_alpha2: gl * tgt\_alpha2: en * prefer\_old: False * long\_pair: glg-eng * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### glg-eng\n\n\n* source group: Galician\n* target group: English\n* OPUS readme: glg-eng\n* model: transformer-align\n* source language(s): glg\n* target language(s): eng\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 44.4, chr-F: 0.628", "### System Info:\n\n\n* hf\\_name: glg-eng\n* source\\_languages: glg\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['gl', 'en']\n* src\\_constituents: {'glg'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: glg\n* tgt\\_alpha3: eng\n* short\\_pair: gl-en\n* chrF2\\_score: 0.628\n* bleu: 44.4\n* brevity\\_penalty: 0.975\n* ref\\_len: 8365.0\n* src\\_name: Galician\n* tgt\\_name: English\n* train\\_date: 2020-06-16\n* src\\_alpha2: gl\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: glg-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #gl #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### glg-eng\n\n\n* source group: Galician\n* target group: English\n* OPUS readme: glg-eng\n* model: transformer-align\n* source language(s): glg\n* target language(s): eng\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 44.4, chr-F: 0.628", "### System Info:\n\n\n* hf\\_name: glg-eng\n* source\\_languages: glg\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['gl', 'en']\n* src\\_constituents: {'glg'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: glg\n* tgt\\_alpha3: eng\n* short\\_pair: gl-en\n* chrF2\\_score: 0.628\n* bleu: 44.4\n* brevity\\_penalty: 0.975\n* ref\\_len: 8365.0\n* src\\_name: Galician\n* tgt\\_name: English\n* train\\_date: 2020-06-16\n* src\\_alpha2: gl\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: glg-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 52, 137, 404 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #gl #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### glg-eng\n\n\n* source group: Galician\n* target group: English\n* OPUS readme: glg-eng\n* model: transformer-align\n* source language(s): glg\n* target language(s): eng\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 44.4, chr-F: 0.628### System Info:\n\n\n* hf\\_name: glg-eng\n* source\\_languages: glg\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['gl', 'en']\n* src\\_constituents: {'glg'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: glg\n* tgt\\_alpha3: eng\n* short\\_pair: gl-en\n* chrF2\\_score: 0.628\n* bleu: 44.4\n* brevity\\_penalty: 0.975\n* ref\\_len: 8365.0\n* src\\_name: Galician\n* tgt\\_name: English\n* train\\_date: 2020-06-16\n* src\\_alpha2: gl\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: glg-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### glg-spa * source group: Galician * target group: Spanish * OPUS readme: [glg-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/glg-spa/README.md) * model: transformer-align * source language(s): glg * target language(s): spa * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/glg-spa/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/glg-spa/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/glg-spa/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.glg.spa \| 72.2 \| 0.836 \| ### System Info: - hf_name: glg-spa - source_languages: glg - target_languages: spa - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/glg-spa/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['gl', 'es'] - src_constituents: {'glg'} - tgt_constituents: {'spa'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/glg-spa/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/glg-spa/opus-2020-06-16.test.txt - src_alpha3: glg - tgt_alpha3: spa - short_pair: gl-es - chrF2_score: 0.836 - bleu: 72.2 - brevity_penalty: 0.982 - ref_len: 17443.0 - src_name: Galician - tgt_name: Spanish - train_date: 2020-06-16 - src_alpha2: gl - tgt_alpha2: es - prefer_old: False - long_pair: glg-spa - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["gl", "es"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-gl-es	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "gl", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "gl", "es" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #gl #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### glg-spa * source group: Galician * target group: Spanish * OPUS readme: glg-spa * model: transformer-align * source language(s): glg * target language(s): spa * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 72.2, chr-F: 0.836 ### System Info: * hf\_name: glg-spa * source\_languages: glg * target\_languages: spa * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['gl', 'es'] * src\_constituents: {'glg'} * tgt\_constituents: {'spa'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: glg * tgt\_alpha3: spa * short\_pair: gl-es * chrF2\_score: 0.836 * bleu: 72.2 * brevity\_penalty: 0.982 * ref\_len: 17443.0 * src\_name: Galician * tgt\_name: Spanish * train\_date: 2020-06-16 * src\_alpha2: gl * tgt\_alpha2: es * prefer\_old: False * long\_pair: glg-spa * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### glg-spa\n\n\n* source group: Galician\n* target group: Spanish\n* OPUS readme: glg-spa\n* model: transformer-align\n* source language(s): glg\n* target language(s): spa\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 72.2, chr-F: 0.836", "### System Info:\n\n\n* hf\\_name: glg-spa\n* source\\_languages: glg\n* target\\_languages: spa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['gl', 'es']\n* src\\_constituents: {'glg'}\n* tgt\\_constituents: {'spa'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: glg\n* tgt\\_alpha3: spa\n* short\\_pair: gl-es\n* chrF2\\_score: 0.836\n* bleu: 72.2\n* brevity\\_penalty: 0.982\n* ref\\_len: 17443.0\n* src\\_name: Galician\n* tgt\\_name: Spanish\n* train\\_date: 2020-06-16\n* src\\_alpha2: gl\n* tgt\\_alpha2: es\n* prefer\\_old: False\n* long\\_pair: glg-spa\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #gl #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### glg-spa\n\n\n* source group: Galician\n* target group: Spanish\n* OPUS readme: glg-spa\n* model: transformer-align\n* source language(s): glg\n* target language(s): spa\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 72.2, chr-F: 0.836", "### System Info:\n\n\n* hf\\_name: glg-spa\n* source\\_languages: glg\n* target\\_languages: spa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['gl', 'es']\n* src\\_constituents: {'glg'}\n* tgt\\_constituents: {'spa'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: glg\n* tgt\\_alpha3: spa\n* short\\_pair: gl-es\n* chrF2\\_score: 0.836\n* bleu: 72.2\n* brevity\\_penalty: 0.982\n* ref\\_len: 17443.0\n* src\\_name: Galician\n* tgt\\_name: Spanish\n* train\\_date: 2020-06-16\n* src\\_alpha2: gl\n* tgt\\_alpha2: es\n* prefer\\_old: False\n* long\\_pair: glg-spa\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 52, 137, 404 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #gl #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### glg-spa\n\n\n* source group: Galician\n* target group: Spanish\n* OPUS readme: glg-spa\n* model: transformer-align\n* source language(s): glg\n* target language(s): spa\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 72.2, chr-F: 0.836### System Info:\n\n\n* hf\\_name: glg-spa\n* source\\_languages: glg\n* target\\_languages: spa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['gl', 'es']\n* src\\_constituents: {'glg'}\n* tgt\\_constituents: {'spa'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: glg\n* tgt\\_alpha3: spa\n* short\\_pair: gl-es\n* chrF2\\_score: 0.836\n* bleu: 72.2\n* brevity\\_penalty: 0.982\n* ref\\_len: 17443.0\n* src\\_name: Galician\n* tgt\\_name: Spanish\n* train\\_date: 2020-06-16\n* src\\_alpha2: gl\n* tgt\\_alpha2: es\n* prefer\\_old: False\n* long\\_pair: glg-spa\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### glg-por * source group: Galician * target group: Portuguese * OPUS readme: [glg-por](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/glg-por/README.md) * model: transformer-align * source language(s): glg * target language(s): por * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/glg-por/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/glg-por/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/glg-por/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.glg.por \| 57.9 \| 0.758 \| ### System Info: - hf_name: glg-por - source_languages: glg - target_languages: por - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/glg-por/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['gl', 'pt'] - src_constituents: {'glg'} - tgt_constituents: {'por'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/glg-por/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/glg-por/opus-2020-06-16.test.txt - src_alpha3: glg - tgt_alpha3: por - short_pair: gl-pt - chrF2_score: 0.758 - bleu: 57.9 - brevity_penalty: 0.977 - ref_len: 3078.0 - src_name: Galician - tgt_name: Portuguese - train_date: 2020-06-16 - src_alpha2: gl - tgt_alpha2: pt - prefer_old: False - long_pair: glg-por - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["gl", "pt"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-gl-pt	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "gl", "pt", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "gl", "pt" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #gl #pt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### glg-por * source group: Galician * target group: Portuguese * OPUS readme: glg-por * model: transformer-align * source language(s): glg * target language(s): por * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 57.9, chr-F: 0.758 ### System Info: * hf\_name: glg-por * source\_languages: glg * target\_languages: por * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['gl', 'pt'] * src\_constituents: {'glg'} * tgt\_constituents: {'por'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: glg * tgt\_alpha3: por * short\_pair: gl-pt * chrF2\_score: 0.758 * bleu: 57.9 * brevity\_penalty: 0.977 * ref\_len: 3078.0 * src\_name: Galician * tgt\_name: Portuguese * train\_date: 2020-06-16 * src\_alpha2: gl * tgt\_alpha2: pt * prefer\_old: False * long\_pair: glg-por * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### glg-por\n\n\n* source group: Galician\n* target group: Portuguese\n* OPUS readme: glg-por\n* model: transformer-align\n* source language(s): glg\n* target language(s): por\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 57.9, chr-F: 0.758", "### System Info:\n\n\n* hf\\_name: glg-por\n* source\\_languages: glg\n* target\\_languages: por\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['gl', 'pt']\n* src\\_constituents: {'glg'}\n* tgt\\_constituents: {'por'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: glg\n* tgt\\_alpha3: por\n* short\\_pair: gl-pt\n* chrF2\\_score: 0.758\n* bleu: 57.9\n* brevity\\_penalty: 0.977\n* ref\\_len: 3078.0\n* src\\_name: Galician\n* tgt\\_name: Portuguese\n* train\\_date: 2020-06-16\n* src\\_alpha2: gl\n* tgt\\_alpha2: pt\n* prefer\\_old: False\n* long\\_pair: glg-por\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #gl #pt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### glg-por\n\n\n* source group: Galician\n* target group: Portuguese\n* OPUS readme: glg-por\n* model: transformer-align\n* source language(s): glg\n* target language(s): por\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 57.9, chr-F: 0.758", "### System Info:\n\n\n* hf\\_name: glg-por\n* source\\_languages: glg\n* target\\_languages: por\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['gl', 'pt']\n* src\\_constituents: {'glg'}\n* tgt\\_constituents: {'por'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: glg\n* tgt\\_alpha3: por\n* short\\_pair: gl-pt\n* chrF2\\_score: 0.758\n* bleu: 57.9\n* brevity\\_penalty: 0.977\n* ref\\_len: 3078.0\n* src\\_name: Galician\n* tgt\\_name: Portuguese\n* train\\_date: 2020-06-16\n* src\\_alpha2: gl\n* tgt\\_alpha2: pt\n* prefer\\_old: False\n* long\\_pair: glg-por\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 52, 137, 404 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #gl #pt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### glg-por\n\n\n* source group: Galician\n* target group: Portuguese\n* OPUS readme: glg-por\n* model: transformer-align\n* source language(s): glg\n* target language(s): por\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 57.9, chr-F: 0.758### System Info:\n\n\n* hf\\_name: glg-por\n* source\\_languages: glg\n* target\\_languages: por\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['gl', 'pt']\n* src\\_constituents: {'glg'}\n* tgt\\_constituents: {'por'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: glg\n* tgt\\_alpha3: por\n* short\\_pair: gl-pt\n* chrF2\\_score: 0.758\n* bleu: 57.9\n* brevity\\_penalty: 0.977\n* ref\\_len: 3078.0\n* src\\_name: Galician\n* tgt\\_name: Portuguese\n* train\\_date: 2020-06-16\n* src\\_alpha2: gl\n* tgt\\_alpha2: pt\n* prefer\\_old: False\n* long\\_pair: glg-por\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### gmq-eng * source group: North Germanic languages * target group: English * OPUS readme: [gmq-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gmq-eng/README.md) * model: transformer * source language(s): dan fao isl nno nob nob_Hebr non_Latn swe * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus2m-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-eng/opus2m-2020-07-26.zip) * test set translations: [opus2m-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-eng/opus2m-2020-07-26.test.txt) * test set scores: [opus2m-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-eng/opus2m-2020-07-26.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.multi.eng \| 58.1 \| 0.720 \| ### System Info: - hf_name: gmq-eng - source_languages: gmq - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gmq-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['da', 'nb', 'sv', 'is', 'nn', 'fo', 'gmq', 'en'] - src_constituents: {'dan', 'nob', 'nob_Hebr', 'swe', 'isl', 'nno', 'non_Latn', 'fao'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-eng/opus2m-2020-07-26.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-eng/opus2m-2020-07-26.test.txt - src_alpha3: gmq - tgt_alpha3: eng - short_pair: gmq-en - chrF2_score: 0.72 - bleu: 58.1 - brevity_penalty: 0.982 - ref_len: 72641.0 - src_name: North Germanic languages - tgt_name: English - train_date: 2020-07-26 - src_alpha2: gmq - tgt_alpha2: en - prefer_old: False - long_pair: gmq-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["da", "nb", "sv", "is", "nn", "fo", "gmq", "en"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-gmq-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "da", "nb", "sv", "is", "nn", "fo", "gmq", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "da", "nb", "sv", "is", "nn", "fo", "gmq", "en" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #da #nb #sv #is #nn #fo #gmq #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### gmq-eng * source group: North Germanic languages * target group: English * OPUS readme: gmq-eng * model: transformer * source language(s): dan fao isl nno nob nob\_Hebr non\_Latn swe * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 58.1, chr-F: 0.720 ### System Info: * hf\_name: gmq-eng * source\_languages: gmq * target\_languages: eng * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['da', 'nb', 'sv', 'is', 'nn', 'fo', 'gmq', 'en'] * src\_constituents: {'dan', 'nob', 'nob\_Hebr', 'swe', 'isl', 'nno', 'non\_Latn', 'fao'} * tgt\_constituents: {'eng'} * src\_multilingual: True * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: gmq * tgt\_alpha3: eng * short\_pair: gmq-en * chrF2\_score: 0.72 * bleu: 58.1 * brevity\_penalty: 0.982 * ref\_len: 72641.0 * src\_name: North Germanic languages * tgt\_name: English * train\_date: 2020-07-26 * src\_alpha2: gmq * tgt\_alpha2: en * prefer\_old: False * long\_pair: gmq-eng * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### gmq-eng\n\n\n* source group: North Germanic languages\n* target group: English\n* OPUS readme: gmq-eng\n* model: transformer\n* source language(s): dan fao isl nno nob nob\\_Hebr non\\_Latn swe\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 58.1, chr-F: 0.720", "### System Info:\n\n\n* hf\\_name: gmq-eng\n* source\\_languages: gmq\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['da', 'nb', 'sv', 'is', 'nn', 'fo', 'gmq', 'en']\n* src\\_constituents: {'dan', 'nob', 'nob\\_Hebr', 'swe', 'isl', 'nno', 'non\\_Latn', 'fao'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: gmq\n* tgt\\_alpha3: eng\n* short\\_pair: gmq-en\n* chrF2\\_score: 0.72\n* bleu: 58.1\n* brevity\\_penalty: 0.982\n* ref\\_len: 72641.0\n* src\\_name: North Germanic languages\n* tgt\\_name: English\n* train\\_date: 2020-07-26\n* src\\_alpha2: gmq\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: gmq-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #da #nb #sv #is #nn #fo #gmq #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### gmq-eng\n\n\n* source group: North Germanic languages\n* target group: English\n* OPUS readme: gmq-eng\n* model: transformer\n* source language(s): dan fao isl nno nob nob\\_Hebr non\\_Latn swe\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 58.1, chr-F: 0.720", "### System Info:\n\n\n* hf\\_name: gmq-eng\n* source\\_languages: gmq\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['da', 'nb', 'sv', 'is', 'nn', 'fo', 'gmq', 'en']\n* src\\_constituents: {'dan', 'nob', 'nob\\_Hebr', 'swe', 'isl', 'nno', 'non\\_Latn', 'fao'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: gmq\n* tgt\\_alpha3: eng\n* short\\_pair: gmq-en\n* chrF2\\_score: 0.72\n* bleu: 58.1\n* brevity\\_penalty: 0.982\n* ref\\_len: 72641.0\n* src\\_name: North Germanic languages\n* tgt\\_name: English\n* train\\_date: 2020-07-26\n* src\\_alpha2: gmq\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: gmq-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 67, 152, 470 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #da #nb #sv #is #nn #fo #gmq #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### gmq-eng\n\n\n* source group: North Germanic languages\n* target group: English\n* OPUS readme: gmq-eng\n* model: transformer\n* source language(s): dan fao isl nno nob nob\\_Hebr non\\_Latn swe\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 58.1, chr-F: 0.720### System Info:\n\n\n* hf\\_name: gmq-eng\n* source\\_languages: gmq\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['da', 'nb', 'sv', 'is', 'nn', 'fo', 'gmq', 'en']\n* src\\_constituents: {'dan', 'nob', 'nob\\_Hebr', 'swe', 'isl', 'nno', 'non\\_Latn', 'fao'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: gmq\n* tgt\\_alpha3: eng\n* short\\_pair: gmq-en\n* chrF2\\_score: 0.72\n* bleu: 58.1\n* brevity\\_penalty: 0.982\n* ref\\_len: 72641.0\n* src\\_name: North Germanic languages\n* tgt\\_name: English\n* train\\_date: 2020-07-26\n* src\\_alpha2: gmq\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: gmq-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### gmq-gmq * source group: North Germanic languages * target group: North Germanic languages * OPUS readme: [gmq-gmq](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gmq-gmq/README.md) * model: transformer * source language(s): dan fao isl nno nob swe * target language(s): dan fao isl nno nob swe * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-gmq/opus-2020-07-27.zip) * test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-gmq/opus-2020-07-27.test.txt) * test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-gmq/opus-2020-07-27.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.dan-fao.dan.fao \| 8.1 \| 0.173 \| \| Tatoeba-test.dan-isl.dan.isl \| 52.5 \| 0.827 \| \| Tatoeba-test.dan-nor.dan.nor \| 62.8 \| 0.772 \| \| Tatoeba-test.dan-swe.dan.swe \| 67.6 \| 0.802 \| \| Tatoeba-test.fao-dan.fao.dan \| 11.3 \| 0.306 \| \| Tatoeba-test.fao-isl.fao.isl \| 26.3 \| 0.359 \| \| Tatoeba-test.fao-nor.fao.nor \| 36.8 \| 0.531 \| \| Tatoeba-test.fao-swe.fao.swe \| 0.0 \| 0.632 \| \| Tatoeba-test.isl-dan.isl.dan \| 67.0 \| 0.739 \| \| Tatoeba-test.isl-fao.isl.fao \| 14.5 \| 0.243 \| \| Tatoeba-test.isl-nor.isl.nor \| 51.8 \| 0.674 \| \| Tatoeba-test.isl-swe.isl.swe \| 100.0 \| 1.000 \| \| Tatoeba-test.multi.multi \| 64.7 \| 0.782 \| \| Tatoeba-test.nor-dan.nor.dan \| 65.6 \| 0.797 \| \| Tatoeba-test.nor-fao.nor.fao \| 9.4 \| 0.362 \| \| Tatoeba-test.nor-isl.nor.isl \| 38.8 \| 0.587 \| \| Tatoeba-test.nor-nor.nor.nor \| 51.9 \| 0.721 \| \| Tatoeba-test.nor-swe.nor.swe \| 66.5 \| 0.789 \| \| Tatoeba-test.swe-dan.swe.dan \| 67.6 \| 0.802 \| \| Tatoeba-test.swe-fao.swe.fao \| 0.0 \| 0.268 \| \| Tatoeba-test.swe-isl.swe.isl \| 65.8 \| 0.914 \| \| Tatoeba-test.swe-nor.swe.nor \| 60.6 \| 0.755 \| ### System Info: - hf_name: gmq-gmq - source_languages: gmq - target_languages: gmq - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gmq-gmq/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['da', 'nb', 'sv', 'is', 'nn', 'fo', 'gmq'] - src_constituents: {'dan', 'nob', 'nob_Hebr', 'swe', 'isl', 'nno', 'non_Latn', 'fao'} - tgt_constituents: {'dan', 'nob', 'nob_Hebr', 'swe', 'isl', 'nno', 'non_Latn', 'fao'} - src_multilingual: True - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-gmq/opus-2020-07-27.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-gmq/opus-2020-07-27.test.txt - src_alpha3: gmq - tgt_alpha3: gmq - short_pair: gmq-gmq - chrF2_score: 0.782 - bleu: 64.7 - brevity_penalty: 0.9940000000000001 - ref_len: 49385.0 - src_name: North Germanic languages - tgt_name: North Germanic languages - train_date: 2020-07-27 - src_alpha2: gmq - tgt_alpha2: gmq - prefer_old: False - long_pair: gmq-gmq - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["da", "nb", "sv", "is", "nn", "fo", "gmq"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-gmq-gmq	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "da", "nb", "sv", "is", "nn", "fo", "gmq", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "da", "nb", "sv", "is", "nn", "fo", "gmq" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #da #nb #sv #is #nn #fo #gmq #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### gmq-gmq * source group: North Germanic languages * target group: North Germanic languages * OPUS readme: gmq-gmq * model: transformer * source language(s): dan fao isl nno nob swe * target language(s): dan fao isl nno nob swe * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 8.1, chr-F: 0.173 testset: URL, BLEU: 52.5, chr-F: 0.827 testset: URL, BLEU: 62.8, chr-F: 0.772 testset: URL, BLEU: 67.6, chr-F: 0.802 testset: URL, BLEU: 11.3, chr-F: 0.306 testset: URL, BLEU: 26.3, chr-F: 0.359 testset: URL, BLEU: 36.8, chr-F: 0.531 testset: URL, BLEU: 0.0, chr-F: 0.632 testset: URL, BLEU: 67.0, chr-F: 0.739 testset: URL, BLEU: 14.5, chr-F: 0.243 testset: URL, BLEU: 51.8, chr-F: 0.674 testset: URL, BLEU: 100.0, chr-F: 1.000 testset: URL, BLEU: 64.7, chr-F: 0.782 testset: URL, BLEU: 65.6, chr-F: 0.797 testset: URL, BLEU: 9.4, chr-F: 0.362 testset: URL, BLEU: 38.8, chr-F: 0.587 testset: URL, BLEU: 51.9, chr-F: 0.721 testset: URL, BLEU: 66.5, chr-F: 0.789 testset: URL, BLEU: 67.6, chr-F: 0.802 testset: URL, BLEU: 0.0, chr-F: 0.268 testset: URL, BLEU: 65.8, chr-F: 0.914 testset: URL, BLEU: 60.6, chr-F: 0.755 ### System Info: * hf\_name: gmq-gmq * source\_languages: gmq * target\_languages: gmq * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['da', 'nb', 'sv', 'is', 'nn', 'fo', 'gmq'] * src\_constituents: {'dan', 'nob', 'nob\_Hebr', 'swe', 'isl', 'nno', 'non\_Latn', 'fao'} * tgt\_constituents: {'dan', 'nob', 'nob\_Hebr', 'swe', 'isl', 'nno', 'non\_Latn', 'fao'} * src\_multilingual: True * tgt\_multilingual: True * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: gmq * tgt\_alpha3: gmq * short\_pair: gmq-gmq * chrF2\_score: 0.782 * bleu: 64.7 * brevity\_penalty: 0.9940000000000001 * ref\_len: 49385.0 * src\_name: North Germanic languages * tgt\_name: North Germanic languages * train\_date: 2020-07-27 * src\_alpha2: gmq * tgt\_alpha2: gmq * prefer\_old: False * long\_pair: gmq-gmq * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### gmq-gmq\n\n\n* source group: North Germanic languages\n* target group: North Germanic languages\n* OPUS readme: gmq-gmq\n* model: transformer\n* source language(s): dan fao isl nno nob swe\n* target language(s): dan fao isl nno nob swe\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 8.1, chr-F: 0.173\ntestset: URL, BLEU: 52.5, chr-F: 0.827\ntestset: URL, BLEU: 62.8, chr-F: 0.772\ntestset: URL, BLEU: 67.6, chr-F: 0.802\ntestset: URL, BLEU: 11.3, chr-F: 0.306\ntestset: URL, BLEU: 26.3, chr-F: 0.359\ntestset: URL, BLEU: 36.8, chr-F: 0.531\ntestset: URL, BLEU: 0.0, chr-F: 0.632\ntestset: URL, BLEU: 67.0, chr-F: 0.739\ntestset: URL, BLEU: 14.5, chr-F: 0.243\ntestset: URL, BLEU: 51.8, chr-F: 0.674\ntestset: URL, BLEU: 100.0, chr-F: 1.000\ntestset: URL, BLEU: 64.7, chr-F: 0.782\ntestset: URL, BLEU: 65.6, chr-F: 0.797\ntestset: URL, BLEU: 9.4, chr-F: 0.362\ntestset: URL, BLEU: 38.8, chr-F: 0.587\ntestset: URL, BLEU: 51.9, chr-F: 0.721\ntestset: URL, BLEU: 66.5, chr-F: 0.789\ntestset: URL, BLEU: 67.6, chr-F: 0.802\ntestset: URL, BLEU: 0.0, chr-F: 0.268\ntestset: URL, BLEU: 65.8, chr-F: 0.914\ntestset: URL, BLEU: 60.6, chr-F: 0.755", "### System Info:\n\n\n* hf\\_name: gmq-gmq\n* source\\_languages: gmq\n* target\\_languages: gmq\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['da', 'nb', 'sv', 'is', 'nn', 'fo', 'gmq']\n* src\\_constituents: {'dan', 'nob', 'nob\\_Hebr', 'swe', 'isl', 'nno', 'non\\_Latn', 'fao'}\n* tgt\\_constituents: {'dan', 'nob', 'nob\\_Hebr', 'swe', 'isl', 'nno', 'non\\_Latn', 'fao'}\n* src\\_multilingual: True\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: gmq\n* tgt\\_alpha3: gmq\n* short\\_pair: gmq-gmq\n* chrF2\\_score: 0.782\n* bleu: 64.7\n* brevity\\_penalty: 0.9940000000000001\n* ref\\_len: 49385.0\n* src\\_name: North Germanic languages\n* tgt\\_name: North Germanic languages\n* train\\_date: 2020-07-27\n* src\\_alpha2: gmq\n* tgt\\_alpha2: gmq\n* prefer\\_old: False\n* long\\_pair: gmq-gmq\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #da #nb #sv #is #nn #fo #gmq #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### gmq-gmq\n\n\n* source group: North Germanic languages\n* target group: North Germanic languages\n* OPUS readme: gmq-gmq\n* model: transformer\n* source language(s): dan fao isl nno nob swe\n* target language(s): dan fao isl nno nob swe\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 8.1, chr-F: 0.173\ntestset: URL, BLEU: 52.5, chr-F: 0.827\ntestset: URL, BLEU: 62.8, chr-F: 0.772\ntestset: URL, BLEU: 67.6, chr-F: 0.802\ntestset: URL, BLEU: 11.3, chr-F: 0.306\ntestset: URL, BLEU: 26.3, chr-F: 0.359\ntestset: URL, BLEU: 36.8, chr-F: 0.531\ntestset: URL, BLEU: 0.0, chr-F: 0.632\ntestset: URL, BLEU: 67.0, chr-F: 0.739\ntestset: URL, BLEU: 14.5, chr-F: 0.243\ntestset: URL, BLEU: 51.8, chr-F: 0.674\ntestset: URL, BLEU: 100.0, chr-F: 1.000\ntestset: URL, BLEU: 64.7, chr-F: 0.782\ntestset: URL, BLEU: 65.6, chr-F: 0.797\ntestset: URL, BLEU: 9.4, chr-F: 0.362\ntestset: URL, BLEU: 38.8, chr-F: 0.587\ntestset: URL, BLEU: 51.9, chr-F: 0.721\ntestset: URL, BLEU: 66.5, chr-F: 0.789\ntestset: URL, BLEU: 67.6, chr-F: 0.802\ntestset: URL, BLEU: 0.0, chr-F: 0.268\ntestset: URL, BLEU: 65.8, chr-F: 0.914\ntestset: URL, BLEU: 60.6, chr-F: 0.755", "### System Info:\n\n\n* hf\\_name: gmq-gmq\n* source\\_languages: gmq\n* target\\_languages: gmq\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['da', 'nb', 'sv', 'is', 'nn', 'fo', 'gmq']\n* src\\_constituents: {'dan', 'nob', 'nob\\_Hebr', 'swe', 'isl', 'nno', 'non\\_Latn', 'fao'}\n* tgt\\_constituents: {'dan', 'nob', 'nob\\_Hebr', 'swe', 'isl', 'nno', 'non\\_Latn', 'fao'}\n* src\\_multilingual: True\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: gmq\n* tgt\\_alpha3: gmq\n* short\\_pair: gmq-gmq\n* chrF2\\_score: 0.782\n* bleu: 64.7\n* brevity\\_penalty: 0.9940000000000001\n* ref\\_len: 49385.0\n* src\\_name: North Germanic languages\n* tgt\\_name: North Germanic languages\n* train\\_date: 2020-07-27\n* src\\_alpha2: gmq\n* tgt\\_alpha2: gmq\n* prefer\\_old: False\n* long\\_pair: gmq-gmq\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 65, 658, 524 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #da #nb #sv #is #nn #fo #gmq #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### gmq-gmq\n\n\n* source group: North Germanic languages\n* target group: North Germanic languages\n* OPUS readme: gmq-gmq\n* model: transformer\n* source language(s): dan fao isl nno nob swe\n* target language(s): dan fao isl nno nob swe\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 8.1, chr-F: 0.173\ntestset: URL, BLEU: 52.5, chr-F: 0.827\ntestset: URL, BLEU: 62.8, chr-F: 0.772\ntestset: URL, BLEU: 67.6, chr-F: 0.802\ntestset: URL, BLEU: 11.3, chr-F: 0.306\ntestset: URL, BLEU: 26.3, chr-F: 0.359\ntestset: URL, BLEU: 36.8, chr-F: 0.531\ntestset: URL, BLEU: 0.0, chr-F: 0.632\ntestset: URL, BLEU: 67.0, chr-F: 0.739\ntestset: URL, BLEU: 14.5, chr-F: 0.243\ntestset: URL, BLEU: 51.8, chr-F: 0.674\ntestset: URL, BLEU: 100.0, chr-F: 1.000\ntestset: URL, BLEU: 64.7, chr-F: 0.782\ntestset: URL, BLEU: 65.6, chr-F: 0.797\ntestset: URL, BLEU: 9.4, chr-F: 0.362\ntestset: URL, BLEU: 38.8, chr-F: 0.587\ntestset: URL, BLEU: 51.9, chr-F: 0.721\ntestset: URL, BLEU: 66.5, chr-F: 0.789\ntestset: URL, BLEU: 67.6, chr-F: 0.802\ntestset: URL, BLEU: 0.0, chr-F: 0.268\ntestset: URL, BLEU: 65.8, chr-F: 0.914\ntestset: URL, BLEU: 60.6, chr-F: 0.755### System Info:\n\n\n* hf\\_name: gmq-gmq\n* source\\_languages: gmq\n* target\\_languages: gmq\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['da', 'nb', 'sv', 'is', 'nn', 'fo', 'gmq']\n* src\\_constituents: {'dan', 'nob', 'nob\\_Hebr', 'swe', 'isl', 'nno', 'non\\_Latn', 'fao'}\n* tgt\\_constituents: {'dan', 'nob', 'nob\\_Hebr', 'swe', 'isl', 'nno', 'non\\_Latn', 'fao'}\n* src\\_multilingual: True\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: gmq\n* tgt\\_alpha3: gmq\n* short\\_pair: gmq-gmq\n* chrF2\\_score: 0.782\n* bleu: 64.7\n* brevity\\_penalty: 0.9940000000000001\n* ref\\_len: 49385.0\n* src\\_name: North Germanic languages\n* tgt\\_name: North Germanic languages\n* train\\_date: 2020-07-27\n* src\\_alpha2: gmq\n* tgt\\_alpha2: gmq\n* prefer\\_old: False\n* long\\_pair: gmq-gmq\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### gmw-eng * source group: West Germanic languages * target group: English * OPUS readme: [gmw-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gmw-eng/README.md) * model: transformer * source language(s): afr ang_Latn deu enm_Latn frr fry gos gsw ksh ltz nds nld pdc sco stq swg yid * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-eng/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-eng/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-eng/opus2m-2020-08-01.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newssyscomb2009-deueng.deu.eng \| 27.2 \| 0.538 \| \| news-test2008-deueng.deu.eng \| 25.7 \| 0.534 \| \| newstest2009-deueng.deu.eng \| 25.1 \| 0.530 \| \| newstest2010-deueng.deu.eng \| 27.9 \| 0.565 \| \| newstest2011-deueng.deu.eng \| 25.3 \| 0.539 \| \| newstest2012-deueng.deu.eng \| 26.6 \| 0.548 \| \| newstest2013-deueng.deu.eng \| 29.6 \| 0.565 \| \| newstest2014-deen-deueng.deu.eng \| 30.2 \| 0.571 \| \| newstest2015-ende-deueng.deu.eng \| 31.5 \| 0.577 \| \| newstest2016-ende-deueng.deu.eng \| 36.7 \| 0.622 \| \| newstest2017-ende-deueng.deu.eng \| 32.3 \| 0.585 \| \| newstest2018-ende-deueng.deu.eng \| 39.9 \| 0.638 \| \| newstest2019-deen-deueng.deu.eng \| 35.9 \| 0.611 \| \| Tatoeba-test.afr-eng.afr.eng \| 61.8 \| 0.750 \| \| Tatoeba-test.ang-eng.ang.eng \| 7.3 \| 0.220 \| \| Tatoeba-test.deu-eng.deu.eng \| 48.3 \| 0.657 \| \| Tatoeba-test.enm-eng.enm.eng \| 16.1 \| 0.423 \| \| Tatoeba-test.frr-eng.frr.eng \| 7.0 \| 0.168 \| \| Tatoeba-test.fry-eng.fry.eng \| 28.6 \| 0.488 \| \| Tatoeba-test.gos-eng.gos.eng \| 15.5 \| 0.326 \| \| Tatoeba-test.gsw-eng.gsw.eng \| 12.7 \| 0.308 \| \| Tatoeba-test.ksh-eng.ksh.eng \| 8.4 \| 0.254 \| \| Tatoeba-test.ltz-eng.ltz.eng \| 28.7 \| 0.453 \| \| Tatoeba-test.multi.eng \| 48.5 \| 0.646 \| \| Tatoeba-test.nds-eng.nds.eng \| 31.4 \| 0.509 \| \| Tatoeba-test.nld-eng.nld.eng \| 58.1 \| 0.728 \| \| Tatoeba-test.pdc-eng.pdc.eng \| 25.1 \| 0.406 \| \| Tatoeba-test.sco-eng.sco.eng \| 40.8 \| 0.570 \| \| Tatoeba-test.stq-eng.stq.eng \| 20.3 \| 0.380 \| \| Tatoeba-test.swg-eng.swg.eng \| 20.5 \| 0.315 \| \| Tatoeba-test.yid-eng.yid.eng \| 16.0 \| 0.366 \| ### System Info: - hf_name: gmw-eng - source_languages: gmw - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gmw-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['nl', 'en', 'lb', 'af', 'de', 'fy', 'yi', 'gmw'] - src_constituents: {'ksh', 'nld', 'eng', 'enm_Latn', 'ltz', 'stq', 'afr', 'pdc', 'deu', 'gos', 'ang_Latn', 'fry', 'gsw', 'frr', 'nds', 'yid', 'swg', 'sco'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-eng/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-eng/opus2m-2020-08-01.test.txt - src_alpha3: gmw - tgt_alpha3: eng - short_pair: gmw-en - chrF2_score: 0.6459999999999999 - bleu: 48.5 - brevity_penalty: 0.997 - ref_len: 72584.0 - src_name: West Germanic languages - tgt_name: English - train_date: 2020-08-01 - src_alpha2: gmw - tgt_alpha2: en - prefer_old: False - long_pair: gmw-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["nl", "en", "lb", "af", "de", "fy", "yi", "gmw"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-gmw-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "nl", "en", "lb", "af", "de", "fy", "yi", "gmw", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "nl", "en", "lb", "af", "de", "fy", "yi", "gmw" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #nl #en #lb #af #de #fy #yi #gmw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### gmw-eng * source group: West Germanic languages * target group: English * OPUS readme: gmw-eng * model: transformer * source language(s): afr ang\_Latn deu enm\_Latn frr fry gos gsw ksh ltz nds nld pdc sco stq swg yid * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 27.2, chr-F: 0.538 testset: URL, BLEU: 25.7, chr-F: 0.534 testset: URL, BLEU: 25.1, chr-F: 0.530 testset: URL, BLEU: 27.9, chr-F: 0.565 testset: URL, BLEU: 25.3, chr-F: 0.539 testset: URL, BLEU: 26.6, chr-F: 0.548 testset: URL, BLEU: 29.6, chr-F: 0.565 testset: URL, BLEU: 30.2, chr-F: 0.571 testset: URL, BLEU: 31.5, chr-F: 0.577 testset: URL, BLEU: 36.7, chr-F: 0.622 testset: URL, BLEU: 32.3, chr-F: 0.585 testset: URL, BLEU: 39.9, chr-F: 0.638 testset: URL, BLEU: 35.9, chr-F: 0.611 testset: URL, BLEU: 61.8, chr-F: 0.750 testset: URL, BLEU: 7.3, chr-F: 0.220 testset: URL, BLEU: 48.3, chr-F: 0.657 testset: URL, BLEU: 16.1, chr-F: 0.423 testset: URL, BLEU: 7.0, chr-F: 0.168 testset: URL, BLEU: 28.6, chr-F: 0.488 testset: URL, BLEU: 15.5, chr-F: 0.326 testset: URL, BLEU: 12.7, chr-F: 0.308 testset: URL, BLEU: 8.4, chr-F: 0.254 testset: URL, BLEU: 28.7, chr-F: 0.453 testset: URL, BLEU: 48.5, chr-F: 0.646 testset: URL, BLEU: 31.4, chr-F: 0.509 testset: URL, BLEU: 58.1, chr-F: 0.728 testset: URL, BLEU: 25.1, chr-F: 0.406 testset: URL, BLEU: 40.8, chr-F: 0.570 testset: URL, BLEU: 20.3, chr-F: 0.380 testset: URL, BLEU: 20.5, chr-F: 0.315 testset: URL, BLEU: 16.0, chr-F: 0.366 ### System Info: * hf\_name: gmw-eng * source\_languages: gmw * target\_languages: eng * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['nl', 'en', 'lb', 'af', 'de', 'fy', 'yi', 'gmw'] * src\_constituents: {'ksh', 'nld', 'eng', 'enm\_Latn', 'ltz', 'stq', 'afr', 'pdc', 'deu', 'gos', 'ang\_Latn', 'fry', 'gsw', 'frr', 'nds', 'yid', 'swg', 'sco'} * tgt\_constituents: {'eng'} * src\_multilingual: True * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: gmw * tgt\_alpha3: eng * short\_pair: gmw-en * chrF2\_score: 0.6459999999999999 * bleu: 48.5 * brevity\_penalty: 0.997 * ref\_len: 72584.0 * src\_name: West Germanic languages * tgt\_name: English * train\_date: 2020-08-01 * src\_alpha2: gmw * tgt\_alpha2: en * prefer\_old: False * long\_pair: gmw-eng * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### gmw-eng\n\n\n* source group: West Germanic languages\n* target group: English\n* OPUS readme: gmw-eng\n* model: transformer\n* source language(s): afr ang\\_Latn deu enm\\_Latn frr fry gos gsw ksh ltz nds nld pdc sco stq swg yid\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.2, chr-F: 0.538\ntestset: URL, BLEU: 25.7, chr-F: 0.534\ntestset: URL, BLEU: 25.1, chr-F: 0.530\ntestset: URL, BLEU: 27.9, chr-F: 0.565\ntestset: URL, BLEU: 25.3, chr-F: 0.539\ntestset: URL, BLEU: 26.6, chr-F: 0.548\ntestset: URL, BLEU: 29.6, chr-F: 0.565\ntestset: URL, BLEU: 30.2, chr-F: 0.571\ntestset: URL, BLEU: 31.5, chr-F: 0.577\ntestset: URL, BLEU: 36.7, chr-F: 0.622\ntestset: URL, BLEU: 32.3, chr-F: 0.585\ntestset: URL, BLEU: 39.9, chr-F: 0.638\ntestset: URL, BLEU: 35.9, chr-F: 0.611\ntestset: URL, BLEU: 61.8, chr-F: 0.750\ntestset: URL, BLEU: 7.3, chr-F: 0.220\ntestset: URL, BLEU: 48.3, chr-F: 0.657\ntestset: URL, BLEU: 16.1, chr-F: 0.423\ntestset: URL, BLEU: 7.0, chr-F: 0.168\ntestset: URL, BLEU: 28.6, chr-F: 0.488\ntestset: URL, BLEU: 15.5, chr-F: 0.326\ntestset: URL, BLEU: 12.7, chr-F: 0.308\ntestset: URL, BLEU: 8.4, chr-F: 0.254\ntestset: URL, BLEU: 28.7, chr-F: 0.453\ntestset: URL, BLEU: 48.5, chr-F: 0.646\ntestset: URL, BLEU: 31.4, chr-F: 0.509\ntestset: URL, BLEU: 58.1, chr-F: 0.728\ntestset: URL, BLEU: 25.1, chr-F: 0.406\ntestset: URL, BLEU: 40.8, chr-F: 0.570\ntestset: URL, BLEU: 20.3, chr-F: 0.380\ntestset: URL, BLEU: 20.5, chr-F: 0.315\ntestset: URL, BLEU: 16.0, chr-F: 0.366", "### System Info:\n\n\n* hf\\_name: gmw-eng\n* source\\_languages: gmw\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['nl', 'en', 'lb', 'af', 'de', 'fy', 'yi', 'gmw']\n* src\\_constituents: {'ksh', 'nld', 'eng', 'enm\\_Latn', 'ltz', 'stq', 'afr', 'pdc', 'deu', 'gos', 'ang\\_Latn', 'fry', 'gsw', 'frr', 'nds', 'yid', 'swg', 'sco'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: gmw\n* tgt\\_alpha3: eng\n* short\\_pair: gmw-en\n* chrF2\\_score: 0.6459999999999999\n* bleu: 48.5\n* brevity\\_penalty: 0.997\n* ref\\_len: 72584.0\n* src\\_name: West Germanic languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: gmw\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: gmw-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nl #en #lb #af #de #fy #yi #gmw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### gmw-eng\n\n\n* source group: West Germanic languages\n* target group: English\n* OPUS readme: gmw-eng\n* model: transformer\n* source language(s): afr ang\\_Latn deu enm\\_Latn frr fry gos gsw ksh ltz nds nld pdc sco stq swg yid\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.2, chr-F: 0.538\ntestset: URL, BLEU: 25.7, chr-F: 0.534\ntestset: URL, BLEU: 25.1, chr-F: 0.530\ntestset: URL, BLEU: 27.9, chr-F: 0.565\ntestset: URL, BLEU: 25.3, chr-F: 0.539\ntestset: URL, BLEU: 26.6, chr-F: 0.548\ntestset: URL, BLEU: 29.6, chr-F: 0.565\ntestset: URL, BLEU: 30.2, chr-F: 0.571\ntestset: URL, BLEU: 31.5, chr-F: 0.577\ntestset: URL, BLEU: 36.7, chr-F: 0.622\ntestset: URL, BLEU: 32.3, chr-F: 0.585\ntestset: URL, BLEU: 39.9, chr-F: 0.638\ntestset: URL, BLEU: 35.9, chr-F: 0.611\ntestset: URL, BLEU: 61.8, chr-F: 0.750\ntestset: URL, BLEU: 7.3, chr-F: 0.220\ntestset: URL, BLEU: 48.3, chr-F: 0.657\ntestset: URL, BLEU: 16.1, chr-F: 0.423\ntestset: URL, BLEU: 7.0, chr-F: 0.168\ntestset: URL, BLEU: 28.6, chr-F: 0.488\ntestset: URL, BLEU: 15.5, chr-F: 0.326\ntestset: URL, BLEU: 12.7, chr-F: 0.308\ntestset: URL, BLEU: 8.4, chr-F: 0.254\ntestset: URL, BLEU: 28.7, chr-F: 0.453\ntestset: URL, BLEU: 48.5, chr-F: 0.646\ntestset: URL, BLEU: 31.4, chr-F: 0.509\ntestset: URL, BLEU: 58.1, chr-F: 0.728\ntestset: URL, BLEU: 25.1, chr-F: 0.406\ntestset: URL, BLEU: 40.8, chr-F: 0.570\ntestset: URL, BLEU: 20.3, chr-F: 0.380\ntestset: URL, BLEU: 20.5, chr-F: 0.315\ntestset: URL, BLEU: 16.0, chr-F: 0.366", "### System Info:\n\n\n* hf\\_name: gmw-eng\n* source\\_languages: gmw\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['nl', 'en', 'lb', 'af', 'de', 'fy', 'yi', 'gmw']\n* src\\_constituents: {'ksh', 'nld', 'eng', 'enm\\_Latn', 'ltz', 'stq', 'afr', 'pdc', 'deu', 'gos', 'ang\\_Latn', 'fry', 'gsw', 'frr', 'nds', 'yid', 'swg', 'sco'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: gmw\n* tgt\\_alpha3: eng\n* short\\_pair: gmw-en\n* chrF2\\_score: 0.6459999999999999\n* bleu: 48.5\n* brevity\\_penalty: 0.997\n* ref\\_len: 72584.0\n* src\\_name: West Germanic languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: gmw\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: gmw-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 65, 851, 531 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nl #en #lb #af #de #fy #yi #gmw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### gmw-eng\n\n\n* source group: West Germanic languages\n* target group: English\n* OPUS readme: gmw-eng\n* model: transformer\n* source language(s): afr ang\\_Latn deu enm\\_Latn frr fry gos gsw ksh ltz nds nld pdc sco stq swg yid\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.2, chr-F: 0.538\ntestset: URL, BLEU: 25.7, chr-F: 0.534\ntestset: URL, BLEU: 25.1, chr-F: 0.530\ntestset: URL, BLEU: 27.9, chr-F: 0.565\ntestset: URL, BLEU: 25.3, chr-F: 0.539\ntestset: URL, BLEU: 26.6, chr-F: 0.548\ntestset: URL, BLEU: 29.6, chr-F: 0.565\ntestset: URL, BLEU: 30.2, chr-F: 0.571\ntestset: URL, BLEU: 31.5, chr-F: 0.577\ntestset: URL, BLEU: 36.7, chr-F: 0.622\ntestset: URL, BLEU: 32.3, chr-F: 0.585\ntestset: URL, BLEU: 39.9, chr-F: 0.638\ntestset: URL, BLEU: 35.9, chr-F: 0.611\ntestset: URL, BLEU: 61.8, chr-F: 0.750\ntestset: URL, BLEU: 7.3, chr-F: 0.220\ntestset: URL, BLEU: 48.3, chr-F: 0.657\ntestset: URL, BLEU: 16.1, chr-F: 0.423\ntestset: URL, BLEU: 7.0, chr-F: 0.168\ntestset: URL, BLEU: 28.6, chr-F: 0.488\ntestset: URL, BLEU: 15.5, chr-F: 0.326\ntestset: URL, BLEU: 12.7, chr-F: 0.308\ntestset: URL, BLEU: 8.4, chr-F: 0.254\ntestset: URL, BLEU: 28.7, chr-F: 0.453\ntestset: URL, BLEU: 48.5, chr-F: 0.646\ntestset: URL, BLEU: 31.4, chr-F: 0.509\ntestset: URL, BLEU: 58.1, chr-F: 0.728\ntestset: URL, BLEU: 25.1, chr-F: 0.406\ntestset: URL, BLEU: 40.8, chr-F: 0.570\ntestset: URL, BLEU: 20.3, chr-F: 0.380\ntestset: URL, BLEU: 20.5, chr-F: 0.315\ntestset: URL, BLEU: 16.0, chr-F: 0.366### System Info:\n\n\n* hf\\_name: gmw-eng\n* source\\_languages: gmw\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['nl', 'en', 'lb', 'af', 'de', 'fy', 'yi', 'gmw']\n* src\\_constituents: {'ksh', 'nld', 'eng', 'enm\\_Latn', 'ltz', 'stq', 'afr', 'pdc', 'deu', 'gos', 'ang\\_Latn', 'fry', 'gsw', 'frr', 'nds', 'yid', 'swg', 'sco'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: gmw\n* tgt\\_alpha3: eng\n* short\\_pair: gmw-en\n* chrF2\\_score: 0.6459999999999999\n* bleu: 48.5\n* brevity\\_penalty: 0.997\n* ref\\_len: 72584.0\n* src\\_name: West Germanic languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: gmw\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: gmw-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### gmw-gmw * source group: West Germanic languages * target group: West Germanic languages * OPUS readme: [gmw-gmw](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gmw-gmw/README.md) * model: transformer * source language(s): afr ang_Latn deu eng enm_Latn frr fry gos gsw ksh ltz nds nld pdc sco stq swg yid * target language(s): afr ang_Latn deu eng enm_Latn frr fry gos gsw ksh ltz nds nld pdc sco stq swg yid * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-gmw/opus-2020-07-27.zip) * test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-gmw/opus-2020-07-27.test.txt) * test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-gmw/opus-2020-07-27.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newssyscomb2009-deueng.deu.eng \| 25.3 \| 0.527 \| \| newssyscomb2009-engdeu.eng.deu \| 19.0 \| 0.502 \| \| news-test2008-deueng.deu.eng \| 23.7 \| 0.515 \| \| news-test2008-engdeu.eng.deu \| 19.2 \| 0.491 \| \| newstest2009-deueng.deu.eng \| 23.1 \| 0.514 \| \| newstest2009-engdeu.eng.deu \| 18.6 \| 0.495 \| \| newstest2010-deueng.deu.eng \| 25.8 \| 0.545 \| \| newstest2010-engdeu.eng.deu \| 20.3 \| 0.505 \| \| newstest2011-deueng.deu.eng \| 23.7 \| 0.523 \| \| newstest2011-engdeu.eng.deu \| 18.9 \| 0.490 \| \| newstest2012-deueng.deu.eng \| 24.4 \| 0.529 \| \| newstest2012-engdeu.eng.deu \| 19.2 \| 0.489 \| \| newstest2013-deueng.deu.eng \| 27.2 \| 0.545 \| \| newstest2013-engdeu.eng.deu \| 22.4 \| 0.514 \| \| newstest2014-deen-deueng.deu.eng \| 27.0 \| 0.546 \| \| newstest2015-ende-deueng.deu.eng \| 28.4 \| 0.552 \| \| newstest2015-ende-engdeu.eng.deu \| 25.3 \| 0.541 \| \| newstest2016-ende-deueng.deu.eng \| 33.2 \| 0.595 \| \| newstest2016-ende-engdeu.eng.deu \| 29.8 \| 0.578 \| \| newstest2017-ende-deueng.deu.eng \| 29.0 \| 0.557 \| \| newstest2017-ende-engdeu.eng.deu \| 23.9 \| 0.534 \| \| newstest2018-ende-deueng.deu.eng \| 35.9 \| 0.607 \| \| newstest2018-ende-engdeu.eng.deu \| 34.8 \| 0.609 \| \| newstest2019-deen-deueng.deu.eng \| 32.1 \| 0.579 \| \| newstest2019-ende-engdeu.eng.deu \| 31.0 \| 0.579 \| \| Tatoeba-test.afr-ang.afr.ang \| 0.0 \| 0.065 \| \| Tatoeba-test.afr-deu.afr.deu \| 46.8 \| 0.668 \| \| Tatoeba-test.afr-eng.afr.eng \| 58.5 \| 0.728 \| \| Tatoeba-test.afr-enm.afr.enm \| 13.4 \| 0.357 \| \| Tatoeba-test.afr-fry.afr.fry \| 5.3 \| 0.026 \| \| Tatoeba-test.afr-gos.afr.gos \| 3.5 \| 0.228 \| \| Tatoeba-test.afr-ltz.afr.ltz \| 1.6 \| 0.131 \| \| Tatoeba-test.afr-nld.afr.nld \| 55.4 \| 0.715 \| \| Tatoeba-test.afr-yid.afr.yid \| 3.4 \| 0.008 \| \| Tatoeba-test.ang-afr.ang.afr \| 3.1 \| 0.096 \| \| Tatoeba-test.ang-deu.ang.deu \| 2.6 \| 0.188 \| \| Tatoeba-test.ang-eng.ang.eng \| 5.4 \| 0.211 \| \| Tatoeba-test.ang-enm.ang.enm \| 1.7 \| 0.197 \| \| Tatoeba-test.ang-gos.ang.gos \| 6.6 \| 0.186 \| \| Tatoeba-test.ang-ltz.ang.ltz \| 5.3 \| 0.072 \| \| Tatoeba-test.ang-yid.ang.yid \| 0.9 \| 0.131 \| \| Tatoeba-test.deu-afr.deu.afr \| 52.7 \| 0.699 \| \| Tatoeba-test.deu-ang.deu.ang \| 0.8 \| 0.133 \| \| Tatoeba-test.deu-eng.deu.eng \| 43.5 \| 0.621 \| \| Tatoeba-test.deu-enm.deu.enm \| 6.9 \| 0.245 \| \| Tatoeba-test.deu-frr.deu.frr \| 0.8 \| 0.200 \| \| Tatoeba-test.deu-fry.deu.fry \| 15.1 \| 0.367 \| \| Tatoeba-test.deu-gos.deu.gos \| 2.2 \| 0.279 \| \| Tatoeba-test.deu-gsw.deu.gsw \| 1.0 \| 0.176 \| \| Tatoeba-test.deu-ksh.deu.ksh \| 0.6 \| 0.208 \| \| Tatoeba-test.deu-ltz.deu.ltz \| 12.1 \| 0.274 \| \| Tatoeba-test.deu-nds.deu.nds \| 18.8 \| 0.446 \| \| Tatoeba-test.deu-nld.deu.nld \| 48.6 \| 0.669 \| \| Tatoeba-test.deu-pdc.deu.pdc \| 4.6 \| 0.198 \| \| Tatoeba-test.deu-sco.deu.sco \| 12.0 \| 0.340 \| \| Tatoeba-test.deu-stq.deu.stq \| 3.2 \| 0.240 \| \| Tatoeba-test.deu-swg.deu.swg \| 0.5 \| 0.179 \| \| Tatoeba-test.deu-yid.deu.yid \| 1.7 \| 0.160 \| \| Tatoeba-test.eng-afr.eng.afr \| 55.8 \| 0.730 \| \| Tatoeba-test.eng-ang.eng.ang \| 5.7 \| 0.157 \| \| Tatoeba-test.eng-deu.eng.deu \| 36.7 \| 0.584 \| \| Tatoeba-test.eng-enm.eng.enm \| 2.0 \| 0.272 \| \| Tatoeba-test.eng-frr.eng.frr \| 6.1 \| 0.246 \| \| Tatoeba-test.eng-fry.eng.fry \| 15.3 \| 0.378 \| \| Tatoeba-test.eng-gos.eng.gos \| 1.2 \| 0.242 \| \| Tatoeba-test.eng-gsw.eng.gsw \| 0.9 \| 0.164 \| \| Tatoeba-test.eng-ksh.eng.ksh \| 0.9 \| 0.170 \| \| Tatoeba-test.eng-ltz.eng.ltz \| 13.7 \| 0.263 \| \| Tatoeba-test.eng-nds.eng.nds \| 17.1 \| 0.410 \| \| Tatoeba-test.eng-nld.eng.nld \| 49.6 \| 0.673 \| \| Tatoeba-test.eng-pdc.eng.pdc \| 5.1 \| 0.218 \| \| Tatoeba-test.eng-sco.eng.sco \| 34.8 \| 0.587 \| \| Tatoeba-test.eng-stq.eng.stq \| 2.1 \| 0.322 \| \| Tatoeba-test.eng-swg.eng.swg \| 1.7 \| 0.192 \| \| Tatoeba-test.eng-yid.eng.yid \| 1.7 \| 0.173 \| \| Tatoeba-test.enm-afr.enm.afr \| 13.4 \| 0.397 \| \| Tatoeba-test.enm-ang.enm.ang \| 0.7 \| 0.063 \| \| Tatoeba-test.enm-deu.enm.deu \| 41.5 \| 0.514 \| \| Tatoeba-test.enm-eng.enm.eng \| 21.3 \| 0.483 \| \| Tatoeba-test.enm-fry.enm.fry \| 0.0 \| 0.058 \| \| Tatoeba-test.enm-gos.enm.gos \| 10.7 \| 0.354 \| \| Tatoeba-test.enm-ksh.enm.ksh \| 7.0 \| 0.161 \| \| Tatoeba-test.enm-nds.enm.nds \| 18.6 \| 0.316 \| \| Tatoeba-test.enm-nld.enm.nld \| 38.3 \| 0.524 \| \| Tatoeba-test.enm-yid.enm.yid \| 0.7 \| 0.128 \| \| Tatoeba-test.frr-deu.frr.deu \| 4.1 \| 0.219 \| \| Tatoeba-test.frr-eng.frr.eng \| 14.1 \| 0.186 \| \| Tatoeba-test.frr-fry.frr.fry \| 3.1 \| 0.129 \| \| Tatoeba-test.frr-gos.frr.gos \| 3.6 \| 0.226 \| \| Tatoeba-test.frr-nds.frr.nds \| 12.4 \| 0.145 \| \| Tatoeba-test.frr-nld.frr.nld \| 9.8 \| 0.209 \| \| Tatoeba-test.frr-stq.frr.stq \| 2.8 \| 0.142 \| \| Tatoeba-test.fry-afr.fry.afr \| 0.0 \| 1.000 \| \| Tatoeba-test.fry-deu.fry.deu \| 30.1 \| 0.535 \| \| Tatoeba-test.fry-eng.fry.eng \| 28.0 \| 0.486 \| \| Tatoeba-test.fry-enm.fry.enm \| 16.0 \| 0.262 \| \| Tatoeba-test.fry-frr.fry.frr \| 5.5 \| 0.160 \| \| Tatoeba-test.fry-gos.fry.gos \| 1.6 \| 0.307 \| \| Tatoeba-test.fry-ltz.fry.ltz \| 30.4 \| 0.438 \| \| Tatoeba-test.fry-nds.fry.nds \| 8.1 \| 0.083 \| \| Tatoeba-test.fry-nld.fry.nld \| 41.4 \| 0.616 \| \| Tatoeba-test.fry-stq.fry.stq \| 1.6 \| 0.217 \| \| Tatoeba-test.fry-yid.fry.yid \| 1.6 \| 0.159 \| \| Tatoeba-test.gos-afr.gos.afr \| 6.3 \| 0.318 \| \| Tatoeba-test.gos-ang.gos.ang \| 6.2 \| 0.058 \| \| Tatoeba-test.gos-deu.gos.deu \| 11.7 \| 0.363 \| \| Tatoeba-test.gos-eng.gos.eng \| 14.9 \| 0.322 \| \| Tatoeba-test.gos-enm.gos.enm \| 9.1 \| 0.398 \| \| Tatoeba-test.gos-frr.gos.frr \| 3.3 \| 0.117 \| \| Tatoeba-test.gos-fry.gos.fry \| 13.1 \| 0.387 \| \| Tatoeba-test.gos-ltz.gos.ltz \| 3.1 \| 0.154 \| \| Tatoeba-test.gos-nds.gos.nds \| 2.4 \| 0.206 \| \| Tatoeba-test.gos-nld.gos.nld \| 13.9 \| 0.395 \| \| Tatoeba-test.gos-stq.gos.stq \| 2.1 \| 0.209 \| \| Tatoeba-test.gos-yid.gos.yid \| 1.7 \| 0.147 \| \| Tatoeba-test.gsw-deu.gsw.deu \| 10.5 \| 0.350 \| \| Tatoeba-test.gsw-eng.gsw.eng \| 10.7 \| 0.299 \| \| Tatoeba-test.ksh-deu.ksh.deu \| 12.0 \| 0.373 \| \| Tatoeba-test.ksh-eng.ksh.eng \| 3.2 \| 0.225 \| \| Tatoeba-test.ksh-enm.ksh.enm \| 13.4 \| 0.308 \| \| Tatoeba-test.ltz-afr.ltz.afr \| 37.4 \| 0.525 \| \| Tatoeba-test.ltz-ang.ltz.ang \| 2.8 \| 0.036 \| \| Tatoeba-test.ltz-deu.ltz.deu \| 40.3 \| 0.596 \| \| Tatoeba-test.ltz-eng.ltz.eng \| 31.7 \| 0.490 \| \| Tatoeba-test.ltz-fry.ltz.fry \| 36.3 \| 0.658 \| \| Tatoeba-test.ltz-gos.ltz.gos \| 2.9 \| 0.209 \| \| Tatoeba-test.ltz-nld.ltz.nld \| 38.8 \| 0.530 \| \| Tatoeba-test.ltz-stq.ltz.stq \| 5.8 \| 0.165 \| \| Tatoeba-test.ltz-yid.ltz.yid \| 1.0 \| 0.159 \| \| Tatoeba-test.multi.multi \| 36.4 \| 0.568 \| \| Tatoeba-test.nds-deu.nds.deu \| 35.0 \| 0.573 \| \| Tatoeba-test.nds-eng.nds.eng \| 29.6 \| 0.495 \| \| Tatoeba-test.nds-enm.nds.enm \| 3.7 \| 0.194 \| \| Tatoeba-test.nds-frr.nds.frr \| 6.6 \| 0.133 \| \| Tatoeba-test.nds-fry.nds.fry \| 4.2 \| 0.087 \| \| Tatoeba-test.nds-gos.nds.gos \| 2.0 \| 0.243 \| \| Tatoeba-test.nds-nld.nds.nld \| 41.4 \| 0.618 \| \| Tatoeba-test.nds-swg.nds.swg \| 0.6 \| 0.178 \| \| Tatoeba-test.nds-yid.nds.yid \| 8.3 \| 0.238 \| \| Tatoeba-test.nld-afr.nld.afr \| 59.4 \| 0.759 \| \| Tatoeba-test.nld-deu.nld.deu \| 49.9 \| 0.685 \| \| Tatoeba-test.nld-eng.nld.eng \| 54.1 \| 0.699 \| \| Tatoeba-test.nld-enm.nld.enm \| 5.0 \| 0.250 \| \| Tatoeba-test.nld-frr.nld.frr \| 2.4 \| 0.224 \| \| Tatoeba-test.nld-fry.nld.fry \| 19.4 \| 0.446 \| \| Tatoeba-test.nld-gos.nld.gos \| 2.5 \| 0.273 \| \| Tatoeba-test.nld-ltz.nld.ltz \| 13.8 \| 0.292 \| \| Tatoeba-test.nld-nds.nld.nds \| 21.3 \| 0.457 \| \| Tatoeba-test.nld-sco.nld.sco \| 14.7 \| 0.423 \| \| Tatoeba-test.nld-stq.nld.stq \| 1.9 \| 0.257 \| \| Tatoeba-test.nld-swg.nld.swg \| 4.2 \| 0.162 \| \| Tatoeba-test.nld-yid.nld.yid \| 2.6 \| 0.186 \| \| Tatoeba-test.pdc-deu.pdc.deu \| 39.7 \| 0.529 \| \| Tatoeba-test.pdc-eng.pdc.eng \| 25.0 \| 0.427 \| \| Tatoeba-test.sco-deu.sco.deu \| 28.4 \| 0.428 \| \| Tatoeba-test.sco-eng.sco.eng \| 41.8 \| 0.595 \| \| Tatoeba-test.sco-nld.sco.nld \| 36.4 \| 0.565 \| \| Tatoeba-test.stq-deu.stq.deu \| 7.7 \| 0.328 \| \| Tatoeba-test.stq-eng.stq.eng \| 21.1 \| 0.428 \| \| Tatoeba-test.stq-frr.stq.frr \| 2.0 \| 0.118 \| \| Tatoeba-test.stq-fry.stq.fry \| 6.3 \| 0.255 \| \| Tatoeba-test.stq-gos.stq.gos \| 1.4 \| 0.244 \| \| Tatoeba-test.stq-ltz.stq.ltz \| 4.4 \| 0.204 \| \| Tatoeba-test.stq-nld.stq.nld \| 10.7 \| 0.371 \| \| Tatoeba-test.stq-yid.stq.yid \| 1.4 \| 0.105 \| \| Tatoeba-test.swg-deu.swg.deu \| 9.5 \| 0.343 \| \| Tatoeba-test.swg-eng.swg.eng \| 15.1 \| 0.306 \| \| Tatoeba-test.swg-nds.swg.nds \| 0.7 \| 0.196 \| \| Tatoeba-test.swg-nld.swg.nld \| 11.6 \| 0.308 \| \| Tatoeba-test.swg-yid.swg.yid \| 0.9 \| 0.186 \| \| Tatoeba-test.yid-afr.yid.afr \| 100.0 \| 1.000 \| \| Tatoeba-test.yid-ang.yid.ang \| 0.6 \| 0.079 \| \| Tatoeba-test.yid-deu.yid.deu \| 16.7 \| 0.372 \| \| Tatoeba-test.yid-eng.yid.eng \| 15.8 \| 0.344 \| \| Tatoeba-test.yid-enm.yid.enm \| 1.3 \| 0.166 \| \| Tatoeba-test.yid-fry.yid.fry \| 5.6 \| 0.157 \| \| Tatoeba-test.yid-gos.yid.gos \| 2.2 \| 0.160 \| \| Tatoeba-test.yid-ltz.yid.ltz \| 2.1 \| 0.238 \| \| Tatoeba-test.yid-nds.yid.nds \| 14.4 \| 0.365 \| \| Tatoeba-test.yid-nld.yid.nld \| 20.9 \| 0.397 \| \| Tatoeba-test.yid-stq.yid.stq \| 3.7 \| 0.165 \| \| Tatoeba-test.yid-swg.yid.swg \| 1.8 \| 0.156 \| ### System Info: - hf_name: gmw-gmw - source_languages: gmw - target_languages: gmw - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gmw-gmw/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['nl', 'en', 'lb', 'af', 'de', 'fy', 'yi', 'gmw'] - src_constituents: {'ksh', 'nld', 'eng', 'enm_Latn', 'ltz', 'stq', 'afr', 'pdc', 'deu', 'gos', 'ang_Latn', 'fry', 'gsw', 'frr', 'nds', 'yid', 'swg', 'sco'} - tgt_constituents: {'ksh', 'nld', 'eng', 'enm_Latn', 'ltz', 'stq', 'afr', 'pdc', 'deu', 'gos', 'ang_Latn', 'fry', 'gsw', 'frr', 'nds', 'yid', 'swg', 'sco'} - src_multilingual: True - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-gmw/opus-2020-07-27.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-gmw/opus-2020-07-27.test.txt - src_alpha3: gmw - tgt_alpha3: gmw - short_pair: gmw-gmw - chrF2_score: 0.568 - bleu: 36.4 - brevity_penalty: 1.0 - ref_len: 72534.0 - src_name: West Germanic languages - tgt_name: West Germanic languages - train_date: 2020-07-27 - src_alpha2: gmw - tgt_alpha2: gmw - prefer_old: False - long_pair: gmw-gmw - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["nl", "en", "lb", "af", "de", "fy", "yi", "gmw"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-gmw-gmw	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "nl", "en", "lb", "af", "de", "fy", "yi", "gmw", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "nl", "en", "lb", "af", "de", "fy", "yi", "gmw" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #nl #en #lb #af #de #fy #yi #gmw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### gmw-gmw * source group: West Germanic languages * target group: West Germanic languages * OPUS readme: gmw-gmw * model: transformer * source language(s): afr ang\_Latn deu eng enm\_Latn frr fry gos gsw ksh ltz nds nld pdc sco stq swg yid * target language(s): afr ang\_Latn deu eng enm\_Latn frr fry gos gsw ksh ltz nds nld pdc sco stq swg yid * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 25.3, chr-F: 0.527 testset: URL, BLEU: 19.0, chr-F: 0.502 testset: URL, BLEU: 23.7, chr-F: 0.515 testset: URL, BLEU: 19.2, chr-F: 0.491 testset: URL, BLEU: 23.1, chr-F: 0.514 testset: URL, BLEU: 18.6, chr-F: 0.495 testset: URL, BLEU: 25.8, chr-F: 0.545 testset: URL, BLEU: 20.3, chr-F: 0.505 testset: URL, BLEU: 23.7, chr-F: 0.523 testset: URL, BLEU: 18.9, chr-F: 0.490 testset: URL, BLEU: 24.4, chr-F: 0.529 testset: URL, BLEU: 19.2, chr-F: 0.489 testset: URL, BLEU: 27.2, chr-F: 0.545 testset: URL, BLEU: 22.4, chr-F: 0.514 testset: URL, BLEU: 27.0, chr-F: 0.546 testset: URL, BLEU: 28.4, chr-F: 0.552 testset: URL, BLEU: 25.3, chr-F: 0.541 testset: URL, BLEU: 33.2, chr-F: 0.595 testset: URL, BLEU: 29.8, chr-F: 0.578 testset: URL, BLEU: 29.0, chr-F: 0.557 testset: URL, BLEU: 23.9, chr-F: 0.534 testset: URL, BLEU: 35.9, chr-F: 0.607 testset: URL, BLEU: 34.8, chr-F: 0.609 testset: URL, BLEU: 32.1, chr-F: 0.579 testset: URL, BLEU: 31.0, chr-F: 0.579 testset: URL, BLEU: 0.0, chr-F: 0.065 testset: URL, BLEU: 46.8, chr-F: 0.668 testset: URL, BLEU: 58.5, chr-F: 0.728 testset: URL, BLEU: 13.4, chr-F: 0.357 testset: URL, BLEU: 5.3, chr-F: 0.026 testset: URL, BLEU: 3.5, chr-F: 0.228 testset: URL, BLEU: 1.6, chr-F: 0.131 testset: URL, BLEU: 55.4, chr-F: 0.715 testset: URL, BLEU: 3.4, chr-F: 0.008 testset: URL, BLEU: 3.1, chr-F: 0.096 testset: URL, BLEU: 2.6, chr-F: 0.188 testset: URL, BLEU: 5.4, chr-F: 0.211 testset: URL, BLEU: 1.7, chr-F: 0.197 testset: URL, BLEU: 6.6, chr-F: 0.186 testset: URL, BLEU: 5.3, chr-F: 0.072 testset: URL, BLEU: 0.9, chr-F: 0.131 testset: URL, BLEU: 52.7, chr-F: 0.699 testset: URL, BLEU: 0.8, chr-F: 0.133 testset: URL, BLEU: 43.5, chr-F: 0.621 testset: URL, BLEU: 6.9, chr-F: 0.245 testset: URL, BLEU: 0.8, chr-F: 0.200 testset: URL, BLEU: 15.1, chr-F: 0.367 testset: URL, BLEU: 2.2, chr-F: 0.279 testset: URL, BLEU: 1.0, chr-F: 0.176 testset: URL, BLEU: 0.6, chr-F: 0.208 testset: URL, BLEU: 12.1, chr-F: 0.274 testset: URL, BLEU: 18.8, chr-F: 0.446 testset: URL, BLEU: 48.6, chr-F: 0.669 testset: URL, BLEU: 4.6, chr-F: 0.198 testset: URL, BLEU: 12.0, chr-F: 0.340 testset: URL, BLEU: 3.2, chr-F: 0.240 testset: URL, BLEU: 0.5, chr-F: 0.179 testset: URL, BLEU: 1.7, chr-F: 0.160 testset: URL, BLEU: 55.8, chr-F: 0.730 testset: URL, BLEU: 5.7, chr-F: 0.157 testset: URL, BLEU: 36.7, chr-F: 0.584 testset: URL, BLEU: 2.0, chr-F: 0.272 testset: URL, BLEU: 6.1, chr-F: 0.246 testset: URL, BLEU: 15.3, chr-F: 0.378 testset: URL, BLEU: 1.2, chr-F: 0.242 testset: URL, BLEU: 0.9, chr-F: 0.164 testset: URL, BLEU: 0.9, chr-F: 0.170 testset: URL, BLEU: 13.7, chr-F: 0.263 testset: URL, BLEU: 17.1, chr-F: 0.410 testset: URL, BLEU: 49.6, chr-F: 0.673 testset: URL, BLEU: 5.1, chr-F: 0.218 testset: URL, BLEU: 34.8, chr-F: 0.587 testset: URL, BLEU: 2.1, chr-F: 0.322 testset: URL, BLEU: 1.7, chr-F: 0.192 testset: URL, BLEU: 1.7, chr-F: 0.173 testset: URL, BLEU: 13.4, chr-F: 0.397 testset: URL, BLEU: 0.7, chr-F: 0.063 testset: URL, BLEU: 41.5, chr-F: 0.514 testset: URL, BLEU: 21.3, chr-F: 0.483 testset: URL, BLEU: 0.0, chr-F: 0.058 testset: URL, BLEU: 10.7, chr-F: 0.354 testset: URL, BLEU: 7.0, chr-F: 0.161 testset: URL, BLEU: 18.6, chr-F: 0.316 testset: URL, BLEU: 38.3, chr-F: 0.524 testset: URL, BLEU: 0.7, chr-F: 0.128 testset: URL, BLEU: 4.1, chr-F: 0.219 testset: URL, BLEU: 14.1, chr-F: 0.186 testset: URL, BLEU: 3.1, chr-F: 0.129 testset: URL, BLEU: 3.6, chr-F: 0.226 testset: URL, BLEU: 12.4, chr-F: 0.145 testset: URL, BLEU: 9.8, chr-F: 0.209 testset: URL, BLEU: 2.8, chr-F: 0.142 testset: URL, BLEU: 0.0, chr-F: 1.000 testset: URL, BLEU: 30.1, chr-F: 0.535 testset: URL, BLEU: 28.0, chr-F: 0.486 testset: URL, BLEU: 16.0, chr-F: 0.262 testset: URL, BLEU: 5.5, chr-F: 0.160 testset: URL, BLEU: 1.6, chr-F: 0.307 testset: URL, BLEU: 30.4, chr-F: 0.438 testset: URL, BLEU: 8.1, chr-F: 0.083 testset: URL, BLEU: 41.4, chr-F: 0.616 testset: URL, BLEU: 1.6, chr-F: 0.217 testset: URL, BLEU: 1.6, chr-F: 0.159 testset: URL, BLEU: 6.3, chr-F: 0.318 testset: URL, BLEU: 6.2, chr-F: 0.058 testset: URL, BLEU: 11.7, chr-F: 0.363 testset: URL, BLEU: 14.9, chr-F: 0.322 testset: URL, BLEU: 9.1, chr-F: 0.398 testset: URL, BLEU: 3.3, chr-F: 0.117 testset: URL, BLEU: 13.1, chr-F: 0.387 testset: URL, BLEU: 3.1, chr-F: 0.154 testset: URL, BLEU: 2.4, chr-F: 0.206 testset: URL, BLEU: 13.9, chr-F: 0.395 testset: URL, BLEU: 2.1, chr-F: 0.209 testset: URL, BLEU: 1.7, chr-F: 0.147 testset: URL, BLEU: 10.5, chr-F: 0.350 testset: URL, BLEU: 10.7, chr-F: 0.299 testset: URL, BLEU: 12.0, chr-F: 0.373 testset: URL, BLEU: 3.2, chr-F: 0.225 testset: URL, BLEU: 13.4, chr-F: 0.308 testset: URL, BLEU: 37.4, chr-F: 0.525 testset: URL, BLEU: 2.8, chr-F: 0.036 testset: URL, BLEU: 40.3, chr-F: 0.596 testset: URL, BLEU: 31.7, chr-F: 0.490 testset: URL, BLEU: 36.3, chr-F: 0.658 testset: URL, BLEU: 2.9, chr-F: 0.209 testset: URL, BLEU: 38.8, chr-F: 0.530 testset: URL, BLEU: 5.8, chr-F: 0.165 testset: URL, BLEU: 1.0, chr-F: 0.159 testset: URL, BLEU: 36.4, chr-F: 0.568 testset: URL, BLEU: 35.0, chr-F: 0.573 testset: URL, BLEU: 29.6, chr-F: 0.495 testset: URL, BLEU: 3.7, chr-F: 0.194 testset: URL, BLEU: 6.6, chr-F: 0.133 testset: URL, BLEU: 4.2, chr-F: 0.087 testset: URL, BLEU: 2.0, chr-F: 0.243 testset: URL, BLEU: 41.4, chr-F: 0.618 testset: URL, BLEU: 0.6, chr-F: 0.178 testset: URL, BLEU: 8.3, chr-F: 0.238 testset: URL, BLEU: 59.4, chr-F: 0.759 testset: URL, BLEU: 49.9, chr-F: 0.685 testset: URL, BLEU: 54.1, chr-F: 0.699 testset: URL, BLEU: 5.0, chr-F: 0.250 testset: URL, BLEU: 2.4, chr-F: 0.224 testset: URL, BLEU: 19.4, chr-F: 0.446 testset: URL, BLEU: 2.5, chr-F: 0.273 testset: URL, BLEU: 13.8, chr-F: 0.292 testset: URL, BLEU: 21.3, chr-F: 0.457 testset: URL, BLEU: 14.7, chr-F: 0.423 testset: URL, BLEU: 1.9, chr-F: 0.257 testset: URL, BLEU: 4.2, chr-F: 0.162 testset: URL, BLEU: 2.6, chr-F: 0.186 testset: URL, BLEU: 39.7, chr-F: 0.529 testset: URL, BLEU: 25.0, chr-F: 0.427 testset: URL, BLEU: 28.4, chr-F: 0.428 testset: URL, BLEU: 41.8, chr-F: 0.595 testset: URL, BLEU: 36.4, chr-F: 0.565 testset: URL, BLEU: 7.7, chr-F: 0.328 testset: URL, BLEU: 21.1, chr-F: 0.428 testset: URL, BLEU: 2.0, chr-F: 0.118 testset: URL, BLEU: 6.3, chr-F: 0.255 testset: URL, BLEU: 1.4, chr-F: 0.244 testset: URL, BLEU: 4.4, chr-F: 0.204 testset: URL, BLEU: 10.7, chr-F: 0.371 testset: URL, BLEU: 1.4, chr-F: 0.105 testset: URL, BLEU: 9.5, chr-F: 0.343 testset: URL, BLEU: 15.1, chr-F: 0.306 testset: URL, BLEU: 0.7, chr-F: 0.196 testset: URL, BLEU: 11.6, chr-F: 0.308 testset: URL, BLEU: 0.9, chr-F: 0.186 testset: URL, BLEU: 100.0, chr-F: 1.000 testset: URL, BLEU: 0.6, chr-F: 0.079 testset: URL, BLEU: 16.7, chr-F: 0.372 testset: URL, BLEU: 15.8, chr-F: 0.344 testset: URL, BLEU: 1.3, chr-F: 0.166 testset: URL, BLEU: 5.6, chr-F: 0.157 testset: URL, BLEU: 2.2, chr-F: 0.160 testset: URL, BLEU: 2.1, chr-F: 0.238 testset: URL, BLEU: 14.4, chr-F: 0.365 testset: URL, BLEU: 20.9, chr-F: 0.397 testset: URL, BLEU: 3.7, chr-F: 0.165 testset: URL, BLEU: 1.8, chr-F: 0.156 ### System Info: * hf\_name: gmw-gmw * source\_languages: gmw * target\_languages: gmw * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['nl', 'en', 'lb', 'af', 'de', 'fy', 'yi', 'gmw'] * src\_constituents: {'ksh', 'nld', 'eng', 'enm\_Latn', 'ltz', 'stq', 'afr', 'pdc', 'deu', 'gos', 'ang\_Latn', 'fry', 'gsw', 'frr', 'nds', 'yid', 'swg', 'sco'} * tgt\_constituents: {'ksh', 'nld', 'eng', 'enm\_Latn', 'ltz', 'stq', 'afr', 'pdc', 'deu', 'gos', 'ang\_Latn', 'fry', 'gsw', 'frr', 'nds', 'yid', 'swg', 'sco'} * src\_multilingual: True * tgt\_multilingual: True * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: gmw * tgt\_alpha3: gmw * short\_pair: gmw-gmw * chrF2\_score: 0.568 * bleu: 36.4 * brevity\_penalty: 1.0 * ref\_len: 72534.0 * src\_name: West Germanic languages * tgt\_name: West Germanic languages * train\_date: 2020-07-27 * src\_alpha2: gmw * tgt\_alpha2: gmw * prefer\_old: False * long\_pair: gmw-gmw * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### gmw-gmw\n\n\n* source group: West Germanic languages\n* target group: West Germanic languages\n* OPUS readme: gmw-gmw\n* model: transformer\n* source language(s): afr ang\\_Latn deu eng enm\\_Latn frr fry gos gsw ksh ltz nds nld pdc sco stq swg yid\n* target language(s): afr ang\\_Latn deu eng enm\\_Latn frr fry gos gsw ksh ltz nds nld pdc sco stq swg yid\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.3, chr-F: 0.527\ntestset: URL, BLEU: 19.0, chr-F: 0.502\ntestset: URL, BLEU: 23.7, chr-F: 0.515\ntestset: URL, BLEU: 19.2, chr-F: 0.491\ntestset: URL, BLEU: 23.1, chr-F: 0.514\ntestset: URL, BLEU: 18.6, chr-F: 0.495\ntestset: URL, BLEU: 25.8, chr-F: 0.545\ntestset: URL, BLEU: 20.3, chr-F: 0.505\ntestset: URL, BLEU: 23.7, chr-F: 0.523\ntestset: URL, BLEU: 18.9, chr-F: 0.490\ntestset: URL, BLEU: 24.4, chr-F: 0.529\ntestset: URL, BLEU: 19.2, chr-F: 0.489\ntestset: URL, BLEU: 27.2, chr-F: 0.545\ntestset: URL, BLEU: 22.4, chr-F: 0.514\ntestset: URL, BLEU: 27.0, chr-F: 0.546\ntestset: URL, BLEU: 28.4, chr-F: 0.552\ntestset: URL, BLEU: 25.3, chr-F: 0.541\ntestset: URL, BLEU: 33.2, chr-F: 0.595\ntestset: URL, BLEU: 29.8, chr-F: 0.578\ntestset: URL, BLEU: 29.0, chr-F: 0.557\ntestset: URL, BLEU: 23.9, chr-F: 0.534\ntestset: URL, BLEU: 35.9, chr-F: 0.607\ntestset: URL, BLEU: 34.8, chr-F: 0.609\ntestset: URL, BLEU: 32.1, chr-F: 0.579\ntestset: URL, BLEU: 31.0, chr-F: 0.579\ntestset: URL, BLEU: 0.0, chr-F: 0.065\ntestset: URL, BLEU: 46.8, chr-F: 0.668\ntestset: URL, BLEU: 58.5, chr-F: 0.728\ntestset: URL, BLEU: 13.4, chr-F: 0.357\ntestset: URL, BLEU: 5.3, chr-F: 0.026\ntestset: URL, BLEU: 3.5, chr-F: 0.228\ntestset: URL, BLEU: 1.6, chr-F: 0.131\ntestset: URL, BLEU: 55.4, chr-F: 0.715\ntestset: URL, BLEU: 3.4, chr-F: 0.008\ntestset: URL, BLEU: 3.1, chr-F: 0.096\ntestset: URL, BLEU: 2.6, chr-F: 0.188\ntestset: URL, BLEU: 5.4, chr-F: 0.211\ntestset: URL, BLEU: 1.7, chr-F: 0.197\ntestset: URL, BLEU: 6.6, chr-F: 0.186\ntestset: URL, BLEU: 5.3, chr-F: 0.072\ntestset: URL, BLEU: 0.9, chr-F: 0.131\ntestset: URL, BLEU: 52.7, chr-F: 0.699\ntestset: URL, BLEU: 0.8, chr-F: 0.133\ntestset: URL, BLEU: 43.5, chr-F: 0.621\ntestset: URL, BLEU: 6.9, chr-F: 0.245\ntestset: URL, BLEU: 0.8, chr-F: 0.200\ntestset: URL, BLEU: 15.1, chr-F: 0.367\ntestset: URL, BLEU: 2.2, chr-F: 0.279\ntestset: URL, BLEU: 1.0, chr-F: 0.176\ntestset: URL, BLEU: 0.6, chr-F: 0.208\ntestset: URL, BLEU: 12.1, chr-F: 0.274\ntestset: URL, BLEU: 18.8, chr-F: 0.446\ntestset: URL, BLEU: 48.6, chr-F: 0.669\ntestset: URL, BLEU: 4.6, chr-F: 0.198\ntestset: URL, BLEU: 12.0, chr-F: 0.340\ntestset: URL, BLEU: 3.2, chr-F: 0.240\ntestset: URL, BLEU: 0.5, chr-F: 0.179\ntestset: URL, BLEU: 1.7, chr-F: 0.160\ntestset: URL, BLEU: 55.8, chr-F: 0.730\ntestset: URL, BLEU: 5.7, chr-F: 0.157\ntestset: URL, BLEU: 36.7, chr-F: 0.584\ntestset: URL, BLEU: 2.0, chr-F: 0.272\ntestset: URL, BLEU: 6.1, chr-F: 0.246\ntestset: URL, BLEU: 15.3, chr-F: 0.378\ntestset: URL, BLEU: 1.2, chr-F: 0.242\ntestset: URL, BLEU: 0.9, chr-F: 0.164\ntestset: URL, BLEU: 0.9, chr-F: 0.170\ntestset: URL, BLEU: 13.7, chr-F: 0.263\ntestset: URL, BLEU: 17.1, chr-F: 0.410\ntestset: URL, BLEU: 49.6, chr-F: 0.673\ntestset: URL, BLEU: 5.1, chr-F: 0.218\ntestset: URL, BLEU: 34.8, chr-F: 0.587\ntestset: URL, BLEU: 2.1, chr-F: 0.322\ntestset: URL, BLEU: 1.7, chr-F: 0.192\ntestset: URL, BLEU: 1.7, chr-F: 0.173\ntestset: URL, BLEU: 13.4, chr-F: 0.397\ntestset: URL, BLEU: 0.7, chr-F: 0.063\ntestset: URL, BLEU: 41.5, chr-F: 0.514\ntestset: URL, BLEU: 21.3, chr-F: 0.483\ntestset: URL, BLEU: 0.0, chr-F: 0.058\ntestset: URL, BLEU: 10.7, chr-F: 0.354\ntestset: URL, BLEU: 7.0, chr-F: 0.161\ntestset: URL, BLEU: 18.6, chr-F: 0.316\ntestset: URL, BLEU: 38.3, chr-F: 0.524\ntestset: URL, BLEU: 0.7, chr-F: 0.128\ntestset: URL, BLEU: 4.1, chr-F: 0.219\ntestset: URL, BLEU: 14.1, chr-F: 0.186\ntestset: URL, BLEU: 3.1, chr-F: 0.129\ntestset: URL, BLEU: 3.6, chr-F: 0.226\ntestset: URL, BLEU: 12.4, chr-F: 0.145\ntestset: URL, BLEU: 9.8, chr-F: 0.209\ntestset: URL, BLEU: 2.8, chr-F: 0.142\ntestset: URL, BLEU: 0.0, chr-F: 1.000\ntestset: URL, BLEU: 30.1, chr-F: 0.535\ntestset: URL, BLEU: 28.0, chr-F: 0.486\ntestset: URL, BLEU: 16.0, chr-F: 0.262\ntestset: URL, BLEU: 5.5, chr-F: 0.160\ntestset: URL, BLEU: 1.6, chr-F: 0.307\ntestset: URL, BLEU: 30.4, chr-F: 0.438\ntestset: URL, BLEU: 8.1, chr-F: 0.083\ntestset: URL, BLEU: 41.4, chr-F: 0.616\ntestset: URL, BLEU: 1.6, chr-F: 0.217\ntestset: URL, BLEU: 1.6, chr-F: 0.159\ntestset: URL, BLEU: 6.3, chr-F: 0.318\ntestset: URL, BLEU: 6.2, chr-F: 0.058\ntestset: URL, BLEU: 11.7, chr-F: 0.363\ntestset: URL, BLEU: 14.9, chr-F: 0.322\ntestset: URL, BLEU: 9.1, chr-F: 0.398\ntestset: URL, BLEU: 3.3, chr-F: 0.117\ntestset: URL, BLEU: 13.1, chr-F: 0.387\ntestset: URL, BLEU: 3.1, chr-F: 0.154\ntestset: URL, BLEU: 2.4, chr-F: 0.206\ntestset: URL, BLEU: 13.9, chr-F: 0.395\ntestset: URL, BLEU: 2.1, chr-F: 0.209\ntestset: URL, BLEU: 1.7, chr-F: 0.147\ntestset: URL, BLEU: 10.5, chr-F: 0.350\ntestset: URL, BLEU: 10.7, chr-F: 0.299\ntestset: URL, BLEU: 12.0, chr-F: 0.373\ntestset: URL, BLEU: 3.2, chr-F: 0.225\ntestset: URL, BLEU: 13.4, chr-F: 0.308\ntestset: URL, BLEU: 37.4, chr-F: 0.525\ntestset: URL, BLEU: 2.8, chr-F: 0.036\ntestset: URL, BLEU: 40.3, chr-F: 0.596\ntestset: URL, BLEU: 31.7, chr-F: 0.490\ntestset: URL, BLEU: 36.3, chr-F: 0.658\ntestset: URL, BLEU: 2.9, chr-F: 0.209\ntestset: URL, BLEU: 38.8, chr-F: 0.530\ntestset: URL, BLEU: 5.8, chr-F: 0.165\ntestset: URL, BLEU: 1.0, chr-F: 0.159\ntestset: URL, BLEU: 36.4, chr-F: 0.568\ntestset: URL, BLEU: 35.0, chr-F: 0.573\ntestset: URL, BLEU: 29.6, chr-F: 0.495\ntestset: URL, BLEU: 3.7, chr-F: 0.194\ntestset: URL, BLEU: 6.6, chr-F: 0.133\ntestset: URL, BLEU: 4.2, chr-F: 0.087\ntestset: URL, BLEU: 2.0, chr-F: 0.243\ntestset: URL, BLEU: 41.4, chr-F: 0.618\ntestset: URL, BLEU: 0.6, chr-F: 0.178\ntestset: URL, BLEU: 8.3, chr-F: 0.238\ntestset: URL, BLEU: 59.4, chr-F: 0.759\ntestset: URL, BLEU: 49.9, chr-F: 0.685\ntestset: URL, BLEU: 54.1, chr-F: 0.699\ntestset: URL, BLEU: 5.0, chr-F: 0.250\ntestset: URL, BLEU: 2.4, chr-F: 0.224\ntestset: URL, BLEU: 19.4, chr-F: 0.446\ntestset: URL, BLEU: 2.5, chr-F: 0.273\ntestset: URL, BLEU: 13.8, chr-F: 0.292\ntestset: URL, BLEU: 21.3, chr-F: 0.457\ntestset: URL, BLEU: 14.7, chr-F: 0.423\ntestset: URL, BLEU: 1.9, chr-F: 0.257\ntestset: URL, BLEU: 4.2, chr-F: 0.162\ntestset: URL, BLEU: 2.6, chr-F: 0.186\ntestset: URL, BLEU: 39.7, chr-F: 0.529\ntestset: URL, BLEU: 25.0, chr-F: 0.427\ntestset: URL, BLEU: 28.4, chr-F: 0.428\ntestset: URL, BLEU: 41.8, chr-F: 0.595\ntestset: URL, BLEU: 36.4, chr-F: 0.565\ntestset: URL, BLEU: 7.7, chr-F: 0.328\ntestset: URL, BLEU: 21.1, chr-F: 0.428\ntestset: URL, BLEU: 2.0, chr-F: 0.118\ntestset: URL, BLEU: 6.3, chr-F: 0.255\ntestset: URL, BLEU: 1.4, chr-F: 0.244\ntestset: URL, BLEU: 4.4, chr-F: 0.204\ntestset: URL, BLEU: 10.7, chr-F: 0.371\ntestset: URL, BLEU: 1.4, chr-F: 0.105\ntestset: URL, BLEU: 9.5, chr-F: 0.343\ntestset: URL, BLEU: 15.1, chr-F: 0.306\ntestset: URL, BLEU: 0.7, chr-F: 0.196\ntestset: URL, BLEU: 11.6, chr-F: 0.308\ntestset: URL, BLEU: 0.9, chr-F: 0.186\ntestset: URL, BLEU: 100.0, chr-F: 1.000\ntestset: URL, BLEU: 0.6, chr-F: 0.079\ntestset: URL, BLEU: 16.7, chr-F: 0.372\ntestset: URL, BLEU: 15.8, chr-F: 0.344\ntestset: URL, BLEU: 1.3, chr-F: 0.166\ntestset: URL, BLEU: 5.6, chr-F: 0.157\ntestset: URL, BLEU: 2.2, chr-F: 0.160\ntestset: URL, BLEU: 2.1, chr-F: 0.238\ntestset: URL, BLEU: 14.4, chr-F: 0.365\ntestset: URL, BLEU: 20.9, chr-F: 0.397\ntestset: URL, BLEU: 3.7, chr-F: 0.165\ntestset: URL, BLEU: 1.8, chr-F: 0.156", "### System Info:\n\n\n* hf\\_name: gmw-gmw\n* source\\_languages: gmw\n* target\\_languages: gmw\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['nl', 'en', 'lb', 'af', 'de', 'fy', 'yi', 'gmw']\n* src\\_constituents: {'ksh', 'nld', 'eng', 'enm\\_Latn', 'ltz', 'stq', 'afr', 'pdc', 'deu', 'gos', 'ang\\_Latn', 'fry', 'gsw', 'frr', 'nds', 'yid', 'swg', 'sco'}\n* tgt\\_constituents: {'ksh', 'nld', 'eng', 'enm\\_Latn', 'ltz', 'stq', 'afr', 'pdc', 'deu', 'gos', 'ang\\_Latn', 'fry', 'gsw', 'frr', 'nds', 'yid', 'swg', 'sco'}\n* src\\_multilingual: True\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: gmw\n* tgt\\_alpha3: gmw\n* short\\_pair: gmw-gmw\n* chrF2\\_score: 0.568\n* bleu: 36.4\n* brevity\\_penalty: 1.0\n* ref\\_len: 72534.0\n* src\\_name: West Germanic languages\n* tgt\\_name: West Germanic languages\n* train\\_date: 2020-07-27\n* src\\_alpha2: gmw\n* tgt\\_alpha2: gmw\n* prefer\\_old: False\n* long\\_pair: gmw-gmw\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nl #en #lb #af #de #fy #yi #gmw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### gmw-gmw\n\n\n* source group: West Germanic languages\n* target group: West Germanic languages\n* OPUS readme: gmw-gmw\n* model: transformer\n* source language(s): afr ang\\_Latn deu eng enm\\_Latn frr fry gos gsw ksh ltz nds nld pdc sco stq swg yid\n* target language(s): afr ang\\_Latn deu eng enm\\_Latn frr fry gos gsw ksh ltz nds nld pdc sco stq swg yid\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.3, chr-F: 0.527\ntestset: URL, BLEU: 19.0, chr-F: 0.502\ntestset: URL, BLEU: 23.7, chr-F: 0.515\ntestset: URL, BLEU: 19.2, chr-F: 0.491\ntestset: URL, BLEU: 23.1, chr-F: 0.514\ntestset: URL, BLEU: 18.6, chr-F: 0.495\ntestset: URL, BLEU: 25.8, chr-F: 0.545\ntestset: URL, BLEU: 20.3, chr-F: 0.505\ntestset: URL, BLEU: 23.7, chr-F: 0.523\ntestset: URL, BLEU: 18.9, chr-F: 0.490\ntestset: URL, BLEU: 24.4, chr-F: 0.529\ntestset: URL, BLEU: 19.2, chr-F: 0.489\ntestset: URL, BLEU: 27.2, chr-F: 0.545\ntestset: URL, BLEU: 22.4, chr-F: 0.514\ntestset: URL, BLEU: 27.0, chr-F: 0.546\ntestset: URL, BLEU: 28.4, chr-F: 0.552\ntestset: URL, BLEU: 25.3, chr-F: 0.541\ntestset: URL, BLEU: 33.2, chr-F: 0.595\ntestset: URL, BLEU: 29.8, chr-F: 0.578\ntestset: URL, BLEU: 29.0, chr-F: 0.557\ntestset: URL, BLEU: 23.9, chr-F: 0.534\ntestset: URL, BLEU: 35.9, chr-F: 0.607\ntestset: URL, BLEU: 34.8, chr-F: 0.609\ntestset: URL, BLEU: 32.1, chr-F: 0.579\ntestset: URL, BLEU: 31.0, chr-F: 0.579\ntestset: URL, BLEU: 0.0, chr-F: 0.065\ntestset: URL, BLEU: 46.8, chr-F: 0.668\ntestset: URL, BLEU: 58.5, chr-F: 0.728\ntestset: URL, BLEU: 13.4, chr-F: 0.357\ntestset: URL, BLEU: 5.3, chr-F: 0.026\ntestset: URL, BLEU: 3.5, chr-F: 0.228\ntestset: URL, BLEU: 1.6, chr-F: 0.131\ntestset: URL, BLEU: 55.4, chr-F: 0.715\ntestset: URL, BLEU: 3.4, chr-F: 0.008\ntestset: URL, BLEU: 3.1, chr-F: 0.096\ntestset: URL, BLEU: 2.6, chr-F: 0.188\ntestset: URL, BLEU: 5.4, chr-F: 0.211\ntestset: URL, BLEU: 1.7, chr-F: 0.197\ntestset: URL, BLEU: 6.6, chr-F: 0.186\ntestset: URL, BLEU: 5.3, chr-F: 0.072\ntestset: URL, BLEU: 0.9, chr-F: 0.131\ntestset: URL, BLEU: 52.7, chr-F: 0.699\ntestset: URL, BLEU: 0.8, chr-F: 0.133\ntestset: URL, BLEU: 43.5, chr-F: 0.621\ntestset: URL, BLEU: 6.9, chr-F: 0.245\ntestset: URL, BLEU: 0.8, chr-F: 0.200\ntestset: URL, BLEU: 15.1, chr-F: 0.367\ntestset: URL, BLEU: 2.2, chr-F: 0.279\ntestset: URL, BLEU: 1.0, chr-F: 0.176\ntestset: URL, BLEU: 0.6, chr-F: 0.208\ntestset: URL, BLEU: 12.1, chr-F: 0.274\ntestset: URL, BLEU: 18.8, chr-F: 0.446\ntestset: URL, BLEU: 48.6, chr-F: 0.669\ntestset: URL, BLEU: 4.6, chr-F: 0.198\ntestset: URL, BLEU: 12.0, chr-F: 0.340\ntestset: URL, BLEU: 3.2, chr-F: 0.240\ntestset: URL, BLEU: 0.5, chr-F: 0.179\ntestset: URL, BLEU: 1.7, chr-F: 0.160\ntestset: URL, BLEU: 55.8, chr-F: 0.730\ntestset: URL, BLEU: 5.7, chr-F: 0.157\ntestset: URL, BLEU: 36.7, chr-F: 0.584\ntestset: URL, BLEU: 2.0, chr-F: 0.272\ntestset: URL, BLEU: 6.1, chr-F: 0.246\ntestset: URL, BLEU: 15.3, chr-F: 0.378\ntestset: URL, BLEU: 1.2, chr-F: 0.242\ntestset: URL, BLEU: 0.9, chr-F: 0.164\ntestset: URL, BLEU: 0.9, chr-F: 0.170\ntestset: URL, BLEU: 13.7, chr-F: 0.263\ntestset: URL, BLEU: 17.1, chr-F: 0.410\ntestset: URL, BLEU: 49.6, chr-F: 0.673\ntestset: URL, BLEU: 5.1, chr-F: 0.218\ntestset: URL, BLEU: 34.8, chr-F: 0.587\ntestset: URL, BLEU: 2.1, chr-F: 0.322\ntestset: URL, BLEU: 1.7, chr-F: 0.192\ntestset: URL, BLEU: 1.7, chr-F: 0.173\ntestset: URL, BLEU: 13.4, chr-F: 0.397\ntestset: URL, BLEU: 0.7, chr-F: 0.063\ntestset: URL, BLEU: 41.5, chr-F: 0.514\ntestset: URL, BLEU: 21.3, chr-F: 0.483\ntestset: URL, BLEU: 0.0, chr-F: 0.058\ntestset: URL, BLEU: 10.7, chr-F: 0.354\ntestset: URL, BLEU: 7.0, chr-F: 0.161\ntestset: URL, BLEU: 18.6, chr-F: 0.316\ntestset: URL, BLEU: 38.3, chr-F: 0.524\ntestset: URL, BLEU: 0.7, chr-F: 0.128\ntestset: URL, BLEU: 4.1, chr-F: 0.219\ntestset: URL, BLEU: 14.1, chr-F: 0.186\ntestset: URL, BLEU: 3.1, chr-F: 0.129\ntestset: URL, BLEU: 3.6, chr-F: 0.226\ntestset: URL, BLEU: 12.4, chr-F: 0.145\ntestset: URL, BLEU: 9.8, chr-F: 0.209\ntestset: URL, BLEU: 2.8, chr-F: 0.142\ntestset: URL, BLEU: 0.0, chr-F: 1.000\ntestset: URL, BLEU: 30.1, chr-F: 0.535\ntestset: URL, BLEU: 28.0, chr-F: 0.486\ntestset: URL, BLEU: 16.0, chr-F: 0.262\ntestset: URL, BLEU: 5.5, chr-F: 0.160\ntestset: URL, BLEU: 1.6, chr-F: 0.307\ntestset: URL, BLEU: 30.4, chr-F: 0.438\ntestset: URL, BLEU: 8.1, chr-F: 0.083\ntestset: URL, BLEU: 41.4, chr-F: 0.616\ntestset: URL, BLEU: 1.6, chr-F: 0.217\ntestset: URL, BLEU: 1.6, chr-F: 0.159\ntestset: URL, BLEU: 6.3, chr-F: 0.318\ntestset: URL, BLEU: 6.2, chr-F: 0.058\ntestset: URL, BLEU: 11.7, chr-F: 0.363\ntestset: URL, BLEU: 14.9, chr-F: 0.322\ntestset: URL, BLEU: 9.1, chr-F: 0.398\ntestset: URL, BLEU: 3.3, chr-F: 0.117\ntestset: URL, BLEU: 13.1, chr-F: 0.387\ntestset: URL, BLEU: 3.1, chr-F: 0.154\ntestset: URL, BLEU: 2.4, chr-F: 0.206\ntestset: URL, BLEU: 13.9, chr-F: 0.395\ntestset: URL, BLEU: 2.1, chr-F: 0.209\ntestset: URL, BLEU: 1.7, chr-F: 0.147\ntestset: URL, BLEU: 10.5, chr-F: 0.350\ntestset: URL, BLEU: 10.7, chr-F: 0.299\ntestset: URL, BLEU: 12.0, chr-F: 0.373\ntestset: URL, BLEU: 3.2, chr-F: 0.225\ntestset: URL, BLEU: 13.4, chr-F: 0.308\ntestset: URL, BLEU: 37.4, chr-F: 0.525\ntestset: URL, BLEU: 2.8, chr-F: 0.036\ntestset: URL, BLEU: 40.3, chr-F: 0.596\ntestset: URL, BLEU: 31.7, chr-F: 0.490\ntestset: URL, BLEU: 36.3, chr-F: 0.658\ntestset: URL, BLEU: 2.9, chr-F: 0.209\ntestset: URL, BLEU: 38.8, chr-F: 0.530\ntestset: URL, BLEU: 5.8, chr-F: 0.165\ntestset: URL, BLEU: 1.0, chr-F: 0.159\ntestset: URL, BLEU: 36.4, chr-F: 0.568\ntestset: URL, BLEU: 35.0, chr-F: 0.573\ntestset: URL, BLEU: 29.6, chr-F: 0.495\ntestset: URL, BLEU: 3.7, chr-F: 0.194\ntestset: URL, BLEU: 6.6, chr-F: 0.133\ntestset: URL, BLEU: 4.2, chr-F: 0.087\ntestset: URL, BLEU: 2.0, chr-F: 0.243\ntestset: URL, BLEU: 41.4, chr-F: 0.618\ntestset: URL, BLEU: 0.6, chr-F: 0.178\ntestset: URL, BLEU: 8.3, chr-F: 0.238\ntestset: URL, BLEU: 59.4, chr-F: 0.759\ntestset: URL, BLEU: 49.9, chr-F: 0.685\ntestset: URL, BLEU: 54.1, chr-F: 0.699\ntestset: URL, BLEU: 5.0, chr-F: 0.250\ntestset: URL, BLEU: 2.4, chr-F: 0.224\ntestset: URL, BLEU: 19.4, chr-F: 0.446\ntestset: URL, BLEU: 2.5, chr-F: 0.273\ntestset: URL, BLEU: 13.8, chr-F: 0.292\ntestset: URL, BLEU: 21.3, chr-F: 0.457\ntestset: URL, BLEU: 14.7, chr-F: 0.423\ntestset: URL, BLEU: 1.9, chr-F: 0.257\ntestset: URL, BLEU: 4.2, chr-F: 0.162\ntestset: URL, BLEU: 2.6, chr-F: 0.186\ntestset: URL, BLEU: 39.7, chr-F: 0.529\ntestset: URL, BLEU: 25.0, chr-F: 0.427\ntestset: URL, BLEU: 28.4, chr-F: 0.428\ntestset: URL, BLEU: 41.8, chr-F: 0.595\ntestset: URL, BLEU: 36.4, chr-F: 0.565\ntestset: URL, BLEU: 7.7, chr-F: 0.328\ntestset: URL, BLEU: 21.1, chr-F: 0.428\ntestset: URL, BLEU: 2.0, chr-F: 0.118\ntestset: URL, BLEU: 6.3, chr-F: 0.255\ntestset: URL, BLEU: 1.4, chr-F: 0.244\ntestset: URL, BLEU: 4.4, chr-F: 0.204\ntestset: URL, BLEU: 10.7, chr-F: 0.371\ntestset: URL, BLEU: 1.4, chr-F: 0.105\ntestset: URL, BLEU: 9.5, chr-F: 0.343\ntestset: URL, BLEU: 15.1, chr-F: 0.306\ntestset: URL, BLEU: 0.7, chr-F: 0.196\ntestset: URL, BLEU: 11.6, chr-F: 0.308\ntestset: URL, BLEU: 0.9, chr-F: 0.186\ntestset: URL, BLEU: 100.0, chr-F: 1.000\ntestset: URL, BLEU: 0.6, chr-F: 0.079\ntestset: URL, BLEU: 16.7, chr-F: 0.372\ntestset: URL, BLEU: 15.8, chr-F: 0.344\ntestset: URL, BLEU: 1.3, chr-F: 0.166\ntestset: URL, BLEU: 5.6, chr-F: 0.157\ntestset: URL, BLEU: 2.2, chr-F: 0.160\ntestset: URL, BLEU: 2.1, chr-F: 0.238\ntestset: URL, BLEU: 14.4, chr-F: 0.365\ntestset: URL, BLEU: 20.9, chr-F: 0.397\ntestset: URL, BLEU: 3.7, chr-F: 0.165\ntestset: URL, BLEU: 1.8, chr-F: 0.156", "### System Info:\n\n\n* hf\\_name: gmw-gmw\n* source\\_languages: gmw\n* target\\_languages: gmw\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['nl', 'en', 'lb', 'af', 'de', 'fy', 'yi', 'gmw']\n* src\\_constituents: {'ksh', 'nld', 'eng', 'enm\\_Latn', 'ltz', 'stq', 'afr', 'pdc', 'deu', 'gos', 'ang\\_Latn', 'fry', 'gsw', 'frr', 'nds', 'yid', 'swg', 'sco'}\n* tgt\\_constituents: {'ksh', 'nld', 'eng', 'enm\\_Latn', 'ltz', 'stq', 'afr', 'pdc', 'deu', 'gos', 'ang\\_Latn', 'fry', 'gsw', 'frr', 'nds', 'yid', 'swg', 'sco'}\n* src\\_multilingual: True\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: gmw\n* tgt\\_alpha3: gmw\n* short\\_pair: gmw-gmw\n* chrF2\\_score: 0.568\n* bleu: 36.4\n* brevity\\_penalty: 1.0\n* ref\\_len: 72534.0\n* src\\_name: West Germanic languages\n* tgt\\_name: West Germanic languages\n* train\\_date: 2020-07-27\n* src\\_alpha2: gmw\n* tgt\\_alpha2: gmw\n* prefer\\_old: False\n* long\\_pair: gmw-gmw\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 65, 4305, 619 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #nl #en #lb #af #de #fy #yi #gmw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### gmw-gmw\n\n\n* source group: West Germanic languages\n* target group: West Germanic languages\n* OPUS readme: gmw-gmw\n* model: transformer\n* source language(s): afr ang\\_Latn deu eng enm\\_Latn frr fry gos gsw ksh ltz nds nld pdc sco stq swg yid\n* target language(s): afr ang\\_Latn deu eng enm\\_Latn frr fry gos gsw ksh ltz nds nld pdc sco stq swg yid\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.3, chr-F: 0.527\ntestset: URL, BLEU: 19.0, chr-F: 0.502\ntestset: URL, BLEU: 23.7, chr-F: 0.515\ntestset: URL, BLEU: 19.2, chr-F: 0.491\ntestset: URL, BLEU: 23.1, chr-F: 0.514\ntestset: URL, BLEU: 18.6, chr-F: 0.495\ntestset: URL, BLEU: 25.8, chr-F: 0.545\ntestset: URL, BLEU: 20.3, chr-F: 0.505\ntestset: URL, BLEU: 23.7, chr-F: 0.523\ntestset: URL, BLEU: 18.9, chr-F: 0.490\ntestset: URL, BLEU: 24.4, chr-F: 0.529\ntestset: URL, BLEU: 19.2, chr-F: 0.489\ntestset: URL, BLEU: 27.2, chr-F: 0.545\ntestset: URL, BLEU: 22.4, chr-F: 0.514\ntestset: URL, BLEU: 27.0, chr-F: 0.546\ntestset: URL, BLEU: 28.4, chr-F: 0.552\ntestset: URL, BLEU: 25.3, chr-F: 0.541\ntestset: URL, BLEU: 33.2, chr-F: 0.595\ntestset: URL, BLEU: 29.8, chr-F: 0.578\ntestset: URL, BLEU: 29.0, chr-F: 0.557\ntestset: URL, BLEU: 23.9, chr-F: 0.534\ntestset: URL, BLEU: 35.9, chr-F: 0.607\ntestset: URL, BLEU: 34.8, chr-F: 0.609\ntestset: URL, BLEU: 32.1, chr-F: 0.579\ntestset: URL, BLEU: 31.0, chr-F: 0.579\ntestset: URL, BLEU: 0.0, chr-F: 0.065\ntestset: URL, BLEU: 46.8, chr-F: 0.668\ntestset: URL, BLEU: 58.5, chr-F: 0.728\ntestset: URL, BLEU: 13.4, chr-F: 0.357\ntestset: URL, BLEU: 5.3, chr-F: 0.026\ntestset: URL, BLEU: 3.5, chr-F: 0.228\ntestset: URL, BLEU: 1.6, chr-F: 0.131\ntestset: URL, BLEU: 55.4, chr-F: 0.715\ntestset: URL, BLEU: 3.4, chr-F: 0.008\ntestset: URL, BLEU: 3.1, chr-F: 0.096\ntestset: URL, BLEU: 2.6, chr-F: 0.188\ntestset: URL, BLEU: 5.4, chr-F: 0.211\ntestset: URL, BLEU: 1.7, chr-F: 0.197\ntestset: URL, BLEU: 6.6, chr-F: 0.186\ntestset: URL, BLEU: 5.3, chr-F: 0.072\ntestset: URL, BLEU: 0.9, chr-F: 0.131\ntestset: URL, BLEU: 52.7, chr-F: 0.699\ntestset: URL, BLEU: 0.8, chr-F: 0.133\ntestset: URL, BLEU: 43.5, chr-F: 0.621\ntestset: URL, BLEU: 6.9, chr-F: 0.245\ntestset: URL, BLEU: 0.8, chr-F: 0.200\ntestset: URL, BLEU: 15.1, chr-F: 0.367\ntestset: URL, BLEU: 2.2, chr-F: 0.279\ntestset: URL, BLEU: 1.0, chr-F: 0.176\ntestset: URL, BLEU: 0.6, chr-F: 0.208\ntestset: URL, BLEU: 12.1, chr-F: 0.274\ntestset: URL, BLEU: 18.8, chr-F: 0.446\ntestset: URL, BLEU: 48.6, chr-F: 0.669\ntestset: URL, BLEU: 4.6, chr-F: 0.198\ntestset: URL, BLEU: 12.0, chr-F: 0.340\ntestset: URL, BLEU: 3.2, chr-F: 0.240\ntestset: URL, BLEU: 0.5, chr-F: 0.179\ntestset: URL, BLEU: 1.7, chr-F: 0.160\ntestset: URL, BLEU: 55.8, chr-F: 0.730\ntestset: URL, BLEU: 5.7, chr-F: 0.157\ntestset: URL, BLEU: 36.7, chr-F: 0.584\ntestset: URL, BLEU: 2.0, chr-F: 0.272\ntestset: URL, BLEU: 6.1, chr-F: 0.246\ntestset: URL, BLEU: 15.3, chr-F: 0.378\ntestset: URL, BLEU: 1.2, chr-F: 0.242\ntestset: URL, BLEU: 0.9, chr-F: 0.164\ntestset: URL, BLEU: 0.9, chr-F: 0.170\ntestset: URL, BLEU: 13.7, chr-F: 0.263\ntestset: URL, BLEU: 17.1, chr-F: 0.410\ntestset: URL, BLEU: 49.6, chr-F: 0.673\ntestset: URL, BLEU: 5.1, chr-F: 0.218\ntestset: URL, BLEU: 34.8, chr-F: 0.587\ntestset: URL, BLEU: 2.1, chr-F: 0.322\ntestset: URL, BLEU: 1.7, chr-F: 0.192\ntestset: URL, BLEU: 1.7, chr-F: 0.173\ntestset: URL, BLEU: 13.4, chr-F: 0.397\ntestset: URL, BLEU: 0.7, chr-F: 0.063\ntestset: URL, BLEU: 41.5, chr-F: 0.514\ntestset: URL, BLEU: 21.3, chr-F: 0.483\ntestset: URL, BLEU: 0.0, chr-F: 0.058\ntestset: URL, BLEU: 10.7, chr-F: 0.354\ntestset: URL, BLEU: 7.0, chr-F: 0.161\ntestset: URL, BLEU: 18.6, chr-F: 0.316\ntestset: URL, BLEU: 38.3, chr-F: 0.524\ntestset: URL, BLEU: 0.7, chr-F: 0.128\ntestset: URL, BLEU: 4.1, chr-F: 0.219\ntestset: URL, BLEU: 14.1, chr-F: 0.186\ntestset: URL, BLEU: 3.1, chr-F: 0.129\ntestset: URL, BLEU: 3.6, chr-F: 0.226\ntestset: URL, BLEU: 12.4, chr-F: 0.145\ntestset: URL, BLEU: 9.8, chr-F: 0.209\ntestset: URL, BLEU: 2.8, chr-F: 0.142\ntestset: URL, BLEU: 0.0, chr-F: 1.000\ntestset: URL, BLEU: 30.1, chr-F: 0.535\ntestset: URL, BLEU: 28.0, chr-F: 0.486\ntestset: URL, BLEU: 16.0, chr-F: 0.262\ntestset: URL, BLEU: 5.5, chr-F: 0.160\ntestset: URL, BLEU: 1.6, chr-F: 0.307\ntestset: URL, BLEU: 30.4, chr-F: 0.438\ntestset: URL, BLEU: 8.1, chr-F: 0.083\ntestset: URL, BLEU: 41.4, chr-F: 0.616\ntestset: URL, BLEU: 1.6, chr-F: 0.217\ntestset: URL, BLEU: 1.6, chr-F: 0.159\ntestset: URL, BLEU: 6.3, chr-F: 0.318\ntestset: URL, BLEU: 6.2, chr-F: 0.058\ntestset: URL, BLEU: 11.7, chr-F: 0.363\ntestset: URL, BLEU: 14.9, chr-F: 0.322\ntestset: URL, BLEU: 9.1, chr-F: 0.398\ntestset: URL, BLEU: 3.3, chr-F: 0.117\ntestset: URL, BLEU: 13.1, chr-F: 0.387\ntestset: URL, BLEU: 3.1, chr-F: 0.154\ntestset: URL, BLEU: 2.4, chr-F: 0.206\ntestset: URL, BLEU: 13.9, chr-F: 0.395\ntestset: URL, BLEU: 2.1, chr-F: 0.209\ntestset: URL, BLEU: 1.7, chr-F: 0.147\ntestset: URL, BLEU: 10.5, chr-F: 0.350\ntestset: URL, BLEU: 10.7, chr-F: 0.299\ntestset: URL, BLEU: 12.0, chr-F: 0.373\ntestset: URL, BLEU: 3.2, chr-F: 0.225\ntestset: URL, BLEU: 13.4, chr-F: 0.308\ntestset: URL, BLEU: 37.4, chr-F: 0.525\ntestset: URL, BLEU: 2.8, chr-F: 0.036\ntestset: URL, BLEU: 40.3, chr-F: 0.596\ntestset: URL, BLEU: 31.7, chr-F: 0.490\ntestset: URL, BLEU: 36.3, chr-F: 0.658\ntestset: URL, BLEU: 2.9, chr-F: 0.209\ntestset: URL, BLEU: 38.8, chr-F: 0.530\ntestset: URL, BLEU: 5.8, chr-F: 0.165\ntestset: URL, BLEU: 1.0, chr-F: 0.159\ntestset: URL, BLEU: 36.4, chr-F: 0.568\ntestset: URL, BLEU: 35.0, chr-F: 0.573\ntestset: URL, BLEU: 29.6, chr-F: 0.495\ntestset: URL, BLEU: 3.7, chr-F: 0.194\ntestset: URL, BLEU: 6.6, chr-F: 0.133\ntestset: URL, BLEU: 4.2, chr-F: 0.087\ntestset: URL, BLEU: 2.0, chr-F: 0.243\ntestset: URL, BLEU: 41.4, chr-F: 0.618\ntestset: URL, BLEU: 0.6, chr-F: 0.178\ntestset: URL, BLEU: 8.3, chr-F: 0.238\ntestset: URL, BLEU: 59.4, chr-F: 0.759\ntestset: URL, BLEU: 49.9, chr-F: 0.685\ntestset: URL, BLEU: 54.1, chr-F: 0.699\ntestset: URL, BLEU: 5.0, chr-F: 0.250\ntestset: URL, BLEU: 2.4, chr-F: 0.224\ntestset: URL, BLEU: 19.4, chr-F: 0.446\ntestset: URL, BLEU: 2.5, chr-F: 0.273\ntestset: URL, BLEU: 13.8, chr-F: 0.292\ntestset: URL, BLEU: 21.3, chr-F: 0.457\ntestset: URL, BLEU: 14.7, chr-F: 0.423\ntestset: URL, BLEU: 1.9, chr-F: 0.257\ntestset: URL, BLEU: 4.2, chr-F: 0.162\ntestset: URL, BLEU: 2.6, chr-F: 0.186\ntestset: URL, BLEU: 39.7, chr-F: 0.529\ntestset: URL, BLEU: 25.0, chr-F: 0.427\ntestset: URL, BLEU: 28.4, chr-F: 0.428\ntestset: URL, BLEU: 41.8, chr-F: 0.595\ntestset: URL, BLEU: 36.4, chr-F: 0.565\ntestset: URL, BLEU: 7.7, chr-F: 0.328\ntestset: URL, BLEU: 21.1, chr-F: 0.428\ntestset: URL, BLEU: 2.0, chr-F: 0.118\ntestset: URL, BLEU: 6.3, chr-F: 0.255\ntestset: URL, BLEU: 1.4, chr-F: 0.244\ntestset: URL, BLEU: 4.4, chr-F: 0.204\ntestset: URL, BLEU: 10.7, chr-F: 0.371\ntestset: URL, BLEU: 1.4, chr-F: 0.105\ntestset: URL, BLEU: 9.5, chr-F: 0.343\ntestset: URL, BLEU: 15.1, chr-F: 0.306\ntestset: URL, BLEU: 0.7, chr-F: 0.196\ntestset: URL, BLEU: 11.6, chr-F: 0.308\ntestset: URL, BLEU: 0.9, chr-F: 0.186\ntestset: URL, BLEU: 100.0, chr-F: 1.000\ntestset: URL, BLEU: 0.6, chr-F: 0.079\ntestset: URL, BLEU: 16.7, chr-F: 0.372\ntestset: URL, BLEU: 15.8, chr-F: 0.344\ntestset: URL, BLEU: 1.3, chr-F: 0.166\ntestset: URL, BLEU: 5.6, chr-F: 0.157\ntestset: URL, BLEU: 2.2, chr-F: 0.160\ntestset: URL, BLEU: 2.1, chr-F: 0.238\ntestset: URL, BLEU: 14.4, chr-F: 0.365\ntestset: URL, BLEU: 20.9, chr-F: 0.397\ntestset: URL, BLEU: 3.7, chr-F: 0.165\ntestset: URL, BLEU: 1.8, chr-F: 0.156### System Info:\n\n\n* hf\\_name: gmw-gmw\n* source\\_languages: gmw\n* target\\_languages: gmw\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['nl', 'en', 'lb', 'af', 'de', 'fy', 'yi', 'gmw']\n* src\\_constituents: {'ksh', 'nld', 'eng', 'enm\\_Latn', 'ltz', 'stq', 'afr', 'pdc', 'deu', 'gos', 'ang\\_Latn', 'fry', 'gsw', 'frr', 'nds', 'yid', 'swg', 'sco'}\n* tgt\\_constituents: {'ksh', 'nld', 'eng', 'enm\\_Latn', 'ltz', 'stq', 'afr', 'pdc', 'deu', 'gos', 'ang\\_Latn', 'fry', 'gsw', 'frr', 'nds', 'yid', 'swg', 'sco'}\n* src\\_multilingual: True\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: gmw\n* tgt\\_alpha3: gmw\n* short\\_pair: gmw-gmw\n* chrF2\\_score: 0.568\n* bleu: 36.4\n* brevity\\_penalty: 1.0\n* ref\\_len: 72534.0\n* src\\_name: West Germanic languages\n* tgt\\_name: West Germanic languages\n* train\\_date: 2020-07-27\n* src\\_alpha2: gmw\n* tgt\\_alpha2: gmw\n* prefer\\_old: False\n* long\\_pair: gmw-gmw\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### grk-eng * source group: Greek languages * target group: English * OPUS readme: [grk-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/grk-eng/README.md) * model: transformer * source language(s): ell grc_Grek * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/grk-eng/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/grk-eng/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/grk-eng/opus2m-2020-08-01.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.ell-eng.ell.eng \| 65.9 \| 0.779 \| \| Tatoeba-test.grc-eng.grc.eng \| 4.1 \| 0.187 \| \| Tatoeba-test.multi.eng \| 60.9 \| 0.733 \| ### System Info: - hf_name: grk-eng - source_languages: grk - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/grk-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['el', 'grk', 'en'] - src_constituents: {'grc_Grek', 'ell'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/grk-eng/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/grk-eng/opus2m-2020-08-01.test.txt - src_alpha3: grk - tgt_alpha3: eng - short_pair: grk-en - chrF2_score: 0.733 - bleu: 60.9 - brevity_penalty: 0.973 - ref_len: 62205.0 - src_name: Greek languages - tgt_name: English - train_date: 2020-08-01 - src_alpha2: grk - tgt_alpha2: en - prefer_old: False - long_pair: grk-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["el", "grk", "en"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-grk-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "el", "grk", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "el", "grk", "en" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #el #grk #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### grk-eng * source group: Greek languages * target group: English * OPUS readme: grk-eng * model: transformer * source language(s): ell grc\_Grek * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 65.9, chr-F: 0.779 testset: URL, BLEU: 4.1, chr-F: 0.187 testset: URL, BLEU: 60.9, chr-F: 0.733 ### System Info: * hf\_name: grk-eng * source\_languages: grk * target\_languages: eng * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['el', 'grk', 'en'] * src\_constituents: {'grc\_Grek', 'ell'} * tgt\_constituents: {'eng'} * src\_multilingual: True * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm12k,spm12k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: grk * tgt\_alpha3: eng * short\_pair: grk-en * chrF2\_score: 0.733 * bleu: 60.9 * brevity\_penalty: 0.973 * ref\_len: 62205.0 * src\_name: Greek languages * tgt\_name: English * train\_date: 2020-08-01 * src\_alpha2: grk * tgt\_alpha2: en * prefer\_old: False * long\_pair: grk-eng * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### grk-eng\n\n\n* source group: Greek languages\n* target group: English\n* OPUS readme: grk-eng\n* model: transformer\n* source language(s): ell grc\\_Grek\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 65.9, chr-F: 0.779\ntestset: URL, BLEU: 4.1, chr-F: 0.187\ntestset: URL, BLEU: 60.9, chr-F: 0.733", "### System Info:\n\n\n* hf\\_name: grk-eng\n* source\\_languages: grk\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['el', 'grk', 'en']\n* src\\_constituents: {'grc\\_Grek', 'ell'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: grk\n* tgt\\_alpha3: eng\n* short\\_pair: grk-en\n* chrF2\\_score: 0.733\n* bleu: 60.9\n* brevity\\_penalty: 0.973\n* ref\\_len: 62205.0\n* src\\_name: Greek languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: grk\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: grk-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #el #grk #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### grk-eng\n\n\n* source group: Greek languages\n* target group: English\n* OPUS readme: grk-eng\n* model: transformer\n* source language(s): ell grc\\_Grek\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 65.9, chr-F: 0.779\ntestset: URL, BLEU: 4.1, chr-F: 0.187\ntestset: URL, BLEU: 60.9, chr-F: 0.733", "### System Info:\n\n\n* hf\\_name: grk-eng\n* source\\_languages: grk\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['el', 'grk', 'en']\n* src\\_constituents: {'grc\\_Grek', 'ell'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: grk\n* tgt\\_alpha3: eng\n* short\\_pair: grk-en\n* chrF2\\_score: 0.733\n* bleu: 60.9\n* brevity\\_penalty: 0.973\n* ref\\_len: 62205.0\n* src\\_name: Greek languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: grk\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: grk-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 54, 182, 414 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #el #grk #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### grk-eng\n\n\n* source group: Greek languages\n* target group: English\n* OPUS readme: grk-eng\n* model: transformer\n* source language(s): ell grc\\_Grek\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 65.9, chr-F: 0.779\ntestset: URL, BLEU: 4.1, chr-F: 0.187\ntestset: URL, BLEU: 60.9, chr-F: 0.733### System Info:\n\n\n* hf\\_name: grk-eng\n* source\\_languages: grk\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['el', 'grk', 'en']\n* src\\_constituents: {'grc\\_Grek', 'ell'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: grk\n* tgt\\_alpha3: eng\n* short\\_pair: grk-en\n* chrF2\\_score: 0.733\n* bleu: 60.9\n* brevity\\_penalty: 0.973\n* ref\\_len: 62205.0\n* src\\_name: Greek languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: grk\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: grk-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### opus-mt-guw-de * source languages: guw * target languages: de * OPUS readme: [guw-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/guw-de/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/guw-de/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/guw-de/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/guw-de/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.guw.de \| 22.7 \| 0.434 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-guw-de	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "guw", "de", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #guw #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-guw-de * source languages: guw * target languages: de * OPUS readme: guw-de * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 22.7, chr-F: 0.434	[ "### opus-mt-guw-de\n\n\n* source languages: guw\n* target languages: de\n* OPUS readme: guw-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.7, chr-F: 0.434" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #guw #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-guw-de\n\n\n* source languages: guw\n* target languages: de\n* OPUS readme: guw-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.7, chr-F: 0.434" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #guw #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-guw-de\n\n\n* source languages: guw\n* target languages: de\n* OPUS readme: guw-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.7, chr-F: 0.434" ]
translation	transformers	### opus-mt-guw-en * source languages: guw * target languages: en * OPUS readme: [guw-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/guw-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/guw-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/guw-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/guw-en/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.guw.en \| 44.8 \| 0.601 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-guw-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "guw", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #guw #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-guw-en * source languages: guw * target languages: en * OPUS readme: guw-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 44.8, chr-F: 0.601	[ "### opus-mt-guw-en\n\n\n* source languages: guw\n* target languages: en\n* OPUS readme: guw-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 44.8, chr-F: 0.601" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #guw #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-guw-en\n\n\n* source languages: guw\n* target languages: en\n* OPUS readme: guw-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 44.8, chr-F: 0.601" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #guw #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-guw-en\n\n\n* source languages: guw\n* target languages: en\n* OPUS readme: guw-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 44.8, chr-F: 0.601" ]
translation	transformers	### opus-mt-guw-es * source languages: guw * target languages: es * OPUS readme: [guw-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/guw-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/guw-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/guw-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/guw-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.guw.es \| 27.2 \| 0.457 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-guw-es	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "guw", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #guw #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-guw-es * source languages: guw * target languages: es * OPUS readme: guw-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 27.2, chr-F: 0.457	[ "### opus-mt-guw-es\n\n\n* source languages: guw\n* target languages: es\n* OPUS readme: guw-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.2, chr-F: 0.457" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #guw #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-guw-es\n\n\n* source languages: guw\n* target languages: es\n* OPUS readme: guw-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.2, chr-F: 0.457" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #guw #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-guw-es\n\n\n* source languages: guw\n* target languages: es\n* OPUS readme: guw-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.2, chr-F: 0.457" ]
translation	transformers	### opus-mt-guw-fi * source languages: guw * target languages: fi * OPUS readme: [guw-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/guw-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/guw-fi/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/guw-fi/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/guw-fi/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.guw.fi \| 27.7 \| 0.512 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-guw-fi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "guw", "fi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #guw #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-guw-fi * source languages: guw * target languages: fi * OPUS readme: guw-fi * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 27.7, chr-F: 0.512	[ "### opus-mt-guw-fi\n\n\n* source languages: guw\n* target languages: fi\n* OPUS readme: guw-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.7, chr-F: 0.512" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #guw #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-guw-fi\n\n\n* source languages: guw\n* target languages: fi\n* OPUS readme: guw-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.7, chr-F: 0.512" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #guw #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-guw-fi\n\n\n* source languages: guw\n* target languages: fi\n* OPUS readme: guw-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.7, chr-F: 0.512" ]
translation	transformers	### opus-mt-guw-fr * source languages: guw * target languages: fr * OPUS readme: [guw-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/guw-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/guw-fr/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/guw-fr/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/guw-fr/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.guw.fr \| 29.7 \| 0.479 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-guw-fr	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "guw", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #guw #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-guw-fr * source languages: guw * target languages: fr * OPUS readme: guw-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 29.7, chr-F: 0.479	[ "### opus-mt-guw-fr\n\n\n* source languages: guw\n* target languages: fr\n* OPUS readme: guw-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.7, chr-F: 0.479" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #guw #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-guw-fr\n\n\n* source languages: guw\n* target languages: fr\n* OPUS readme: guw-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.7, chr-F: 0.479" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #guw #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-guw-fr\n\n\n* source languages: guw\n* target languages: fr\n* OPUS readme: guw-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.7, chr-F: 0.479" ]
translation	transformers	### opus-mt-guw-sv * source languages: guw * target languages: sv * OPUS readme: [guw-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/guw-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/guw-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/guw-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/guw-sv/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.guw.sv \| 31.2 \| 0.498 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-guw-sv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "guw", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #guw #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-guw-sv * source languages: guw * target languages: sv * OPUS readme: guw-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 31.2, chr-F: 0.498	[ "### opus-mt-guw-sv\n\n\n* source languages: guw\n* target languages: sv\n* OPUS readme: guw-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.2, chr-F: 0.498" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #guw #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-guw-sv\n\n\n* source languages: guw\n* target languages: sv\n* OPUS readme: guw-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.2, chr-F: 0.498" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #guw #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-guw-sv\n\n\n* source languages: guw\n* target languages: sv\n* OPUS readme: guw-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.2, chr-F: 0.498" ]
translation	transformers	### opus-mt-gv-en * source languages: gv * target languages: en * OPUS readme: [gv-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gv-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/gv-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gv-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gv-en/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| bible-uedin.gv.en \| 38.9 \| 0.668 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-gv-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "gv", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #gv #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-gv-en * source languages: gv * target languages: en * OPUS readme: gv-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 38.9, chr-F: 0.668	[ "### opus-mt-gv-en\n\n\n* source languages: gv\n* target languages: en\n* OPUS readme: gv-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 38.9, chr-F: 0.668" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #gv #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-gv-en\n\n\n* source languages: gv\n* target languages: en\n* OPUS readme: gv-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 38.9, chr-F: 0.668" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #gv #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-gv-en\n\n\n* source languages: gv\n* target languages: en\n* OPUS readme: gv-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 38.9, chr-F: 0.668" ]
translation	transformers	### opus-mt-ha-en * source languages: ha * target languages: en * OPUS readme: [ha-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ha-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/ha-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ha-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ha-en/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ha.en \| 35.0 \| 0.506 \| \| Tatoeba.ha.en \| 39.0 \| 0.497 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ha-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ha", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ha #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ha-en * source languages: ha * target languages: en * OPUS readme: ha-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 35.0, chr-F: 0.506 testset: URL, BLEU: 39.0, chr-F: 0.497	[ "### opus-mt-ha-en\n\n\n* source languages: ha\n* target languages: en\n* OPUS readme: ha-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.0, chr-F: 0.506\ntestset: URL, BLEU: 39.0, chr-F: 0.497" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ha #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ha-en\n\n\n* source languages: ha\n* target languages: en\n* OPUS readme: ha-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.0, chr-F: 0.506\ntestset: URL, BLEU: 39.0, chr-F: 0.497" ]	[ 51, 129 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ha #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ha-en\n\n\n* source languages: ha\n* target languages: en\n* OPUS readme: ha-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.0, chr-F: 0.506\ntestset: URL, BLEU: 39.0, chr-F: 0.497" ]
translation	transformers	### opus-mt-ha-es * source languages: ha * target languages: es * OPUS readme: [ha-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ha-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/ha-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ha-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ha-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ha.es \| 21.8 \| 0.394 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ha-es	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ha", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ha #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ha-es * source languages: ha * target languages: es * OPUS readme: ha-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 21.8, chr-F: 0.394	[ "### opus-mt-ha-es\n\n\n* source languages: ha\n* target languages: es\n* OPUS readme: ha-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.8, chr-F: 0.394" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ha #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ha-es\n\n\n* source languages: ha\n* target languages: es\n* OPUS readme: ha-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.8, chr-F: 0.394" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ha #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ha-es\n\n\n* source languages: ha\n* target languages: es\n* OPUS readme: ha-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.8, chr-F: 0.394" ]
translation	transformers	### opus-mt-ha-fi * source languages: ha * target languages: fi * OPUS readme: [ha-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ha-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/ha-fi/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ha-fi/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ha-fi/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ha.fi \| 21.9 \| 0.435 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ha-fi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ha", "fi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ha #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ha-fi * source languages: ha * target languages: fi * OPUS readme: ha-fi * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 21.9, chr-F: 0.435	[ "### opus-mt-ha-fi\n\n\n* source languages: ha\n* target languages: fi\n* OPUS readme: ha-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.9, chr-F: 0.435" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ha #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ha-fi\n\n\n* source languages: ha\n* target languages: fi\n* OPUS readme: ha-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.9, chr-F: 0.435" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ha #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ha-fi\n\n\n* source languages: ha\n* target languages: fi\n* OPUS readme: ha-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.9, chr-F: 0.435" ]
translation	transformers	### opus-mt-ha-fr * source languages: ha * target languages: fr * OPUS readme: [ha-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ha-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/ha-fr/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ha-fr/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ha-fr/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ha.fr \| 24.3 \| 0.415 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ha-fr	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ha", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ha #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ha-fr * source languages: ha * target languages: fr * OPUS readme: ha-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 24.3, chr-F: 0.415	[ "### opus-mt-ha-fr\n\n\n* source languages: ha\n* target languages: fr\n* OPUS readme: ha-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.3, chr-F: 0.415" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ha #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ha-fr\n\n\n* source languages: ha\n* target languages: fr\n* OPUS readme: ha-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.3, chr-F: 0.415" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ha #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ha-fr\n\n\n* source languages: ha\n* target languages: fr\n* OPUS readme: ha-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.3, chr-F: 0.415" ]
translation	transformers	### opus-mt-ha-sv * source languages: ha * target languages: sv * OPUS readme: [ha-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ha-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/ha-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ha-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ha-sv/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ha.sv \| 25.8 \| 0.438 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ha-sv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ha", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ha #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ha-sv * source languages: ha * target languages: sv * OPUS readme: ha-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 25.8, chr-F: 0.438	[ "### opus-mt-ha-sv\n\n\n* source languages: ha\n* target languages: sv\n* OPUS readme: ha-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.8, chr-F: 0.438" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ha #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ha-sv\n\n\n* source languages: ha\n* target languages: sv\n* OPUS readme: ha-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.8, chr-F: 0.438" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ha #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ha-sv\n\n\n* source languages: ha\n* target languages: sv\n* OPUS readme: ha-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.8, chr-F: 0.438" ]
translation	transformers	### heb-ara * source group: Hebrew * target group: Arabic * OPUS readme: [heb-ara](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/heb-ara/README.md) * model: transformer * source language(s): heb * target language(s): apc apc_Latn ara arq arz * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-ara/opus-2020-07-03.zip) * test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-ara/opus-2020-07-03.test.txt) * test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-ara/opus-2020-07-03.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.heb.ara \| 23.6 \| 0.532 \| ### System Info: - hf_name: heb-ara - source_languages: heb - target_languages: ara - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/heb-ara/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['he', 'ar'] - src_constituents: {'heb'} - tgt_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/heb-ara/opus-2020-07-03.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/heb-ara/opus-2020-07-03.test.txt - src_alpha3: heb - tgt_alpha3: ara - short_pair: he-ar - chrF2_score: 0.532 - bleu: 23.6 - brevity_penalty: 0.9259999999999999 - ref_len: 6372.0 - src_name: Hebrew - tgt_name: Arabic - train_date: 2020-07-03 - src_alpha2: he - tgt_alpha2: ar - prefer_old: False - long_pair: heb-ara - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["he", "ar"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-he-ar	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "he", "ar", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "he", "ar" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #he #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### heb-ara * source group: Hebrew * target group: Arabic * OPUS readme: heb-ara * model: transformer * source language(s): heb * target language(s): apc apc\_Latn ara arq arz * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 23.6, chr-F: 0.532 ### System Info: * hf\_name: heb-ara * source\_languages: heb * target\_languages: ara * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['he', 'ar'] * src\_constituents: {'heb'} * tgt\_constituents: {'apc', 'ara', 'arq\_Latn', 'arq', 'afb', 'ara\_Latn', 'apc\_Latn', 'arz'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: heb * tgt\_alpha3: ara * short\_pair: he-ar * chrF2\_score: 0.532 * bleu: 23.6 * brevity\_penalty: 0.9259999999999999 * ref\_len: 6372.0 * src\_name: Hebrew * tgt\_name: Arabic * train\_date: 2020-07-03 * src\_alpha2: he * tgt\_alpha2: ar * prefer\_old: False * long\_pair: heb-ara * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### heb-ara\n\n\n* source group: Hebrew\n* target group: Arabic\n* OPUS readme: heb-ara\n* model: transformer\n* source language(s): heb\n* target language(s): apc apc\\_Latn ara arq arz\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.6, chr-F: 0.532", "### System Info:\n\n\n* hf\\_name: heb-ara\n* source\\_languages: heb\n* target\\_languages: ara\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['he', 'ar']\n* src\\_constituents: {'heb'}\n* tgt\\_constituents: {'apc', 'ara', 'arq\\_Latn', 'arq', 'afb', 'ara\\_Latn', 'apc\\_Latn', 'arz'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: heb\n* tgt\\_alpha3: ara\n* short\\_pair: he-ar\n* chrF2\\_score: 0.532\n* bleu: 23.6\n* brevity\\_penalty: 0.9259999999999999\n* ref\\_len: 6372.0\n* src\\_name: Hebrew\n* tgt\\_name: Arabic\n* train\\_date: 2020-07-03\n* src\\_alpha2: he\n* tgt\\_alpha2: ar\n* prefer\\_old: False\n* long\\_pair: heb-ara\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #he #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### heb-ara\n\n\n* source group: Hebrew\n* target group: Arabic\n* OPUS readme: heb-ara\n* model: transformer\n* source language(s): heb\n* target language(s): apc apc\\_Latn ara arq arz\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.6, chr-F: 0.532", "### System Info:\n\n\n* hf\\_name: heb-ara\n* source\\_languages: heb\n* target\\_languages: ara\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['he', 'ar']\n* src\\_constituents: {'heb'}\n* tgt\\_constituents: {'apc', 'ara', 'arq\\_Latn', 'arq', 'afb', 'ara\\_Latn', 'apc\\_Latn', 'arz'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: heb\n* tgt\\_alpha3: ara\n* short\\_pair: he-ar\n* chrF2\\_score: 0.532\n* bleu: 23.6\n* brevity\\_penalty: 0.9259999999999999\n* ref\\_len: 6372.0\n* src\\_name: Hebrew\n* tgt\\_name: Arabic\n* train\\_date: 2020-07-03\n* src\\_alpha2: he\n* tgt\\_alpha2: ar\n* prefer\\_old: False\n* long\\_pair: heb-ara\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 170, 457 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #he #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### heb-ara\n\n\n* source group: Hebrew\n* target group: Arabic\n* OPUS readme: heb-ara\n* model: transformer\n* source language(s): heb\n* target language(s): apc apc\\_Latn ara arq arz\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.6, chr-F: 0.532### System Info:\n\n\n* hf\\_name: heb-ara\n* source\\_languages: heb\n* target\\_languages: ara\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['he', 'ar']\n* src\\_constituents: {'heb'}\n* tgt\\_constituents: {'apc', 'ara', 'arq\\_Latn', 'arq', 'afb', 'ara\\_Latn', 'apc\\_Latn', 'arz'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: heb\n* tgt\\_alpha3: ara\n* short\\_pair: he-ar\n* chrF2\\_score: 0.532\n* bleu: 23.6\n* brevity\\_penalty: 0.9259999999999999\n* ref\\_len: 6372.0\n* src\\_name: Hebrew\n* tgt\\_name: Arabic\n* train\\_date: 2020-07-03\n* src\\_alpha2: he\n* tgt\\_alpha2: ar\n* prefer\\_old: False\n* long\\_pair: heb-ara\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### opus-mt-he-de * source languages: he * target languages: de * OPUS readme: [he-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/he-de/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/he-de/opus-2020-01-26.zip) * test set translations: [opus-2020-01-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/he-de/opus-2020-01-26.test.txt) * test set scores: [opus-2020-01-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/he-de/opus-2020-01-26.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.he.de \| 45.5 \| 0.647 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-he-de	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "he", "de", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #he #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-he-de * source languages: he * target languages: de * OPUS readme: he-de * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 45.5, chr-F: 0.647	[ "### opus-mt-he-de\n\n\n* source languages: he\n* target languages: de\n* OPUS readme: he-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 45.5, chr-F: 0.647" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #he #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-he-de\n\n\n* source languages: he\n* target languages: de\n* OPUS readme: he-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 45.5, chr-F: 0.647" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #he #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-he-de\n\n\n* source languages: he\n* target languages: de\n* OPUS readme: he-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 45.5, chr-F: 0.647" ]
translation	transformers	### heb-epo * source group: Hebrew * target group: Esperanto * OPUS readme: [heb-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/heb-epo/README.md) * model: transformer-align * source language(s): heb * target language(s): epo * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-epo/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-epo/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-epo/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.heb.epo \| 17.6 \| 0.348 \| ### System Info: - hf_name: heb-epo - source_languages: heb - target_languages: epo - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/heb-epo/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['he', 'eo'] - src_constituents: {'heb'} - tgt_constituents: {'epo'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/heb-epo/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/heb-epo/opus-2020-06-16.test.txt - src_alpha3: heb - tgt_alpha3: epo - short_pair: he-eo - chrF2_score: 0.348 - bleu: 17.6 - brevity_penalty: 0.899 - ref_len: 78217.0 - src_name: Hebrew - tgt_name: Esperanto - train_date: 2020-06-16 - src_alpha2: he - tgt_alpha2: eo - prefer_old: False - long_pair: heb-epo - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["he", "eo"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-he-eo	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "he", "eo", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "he", "eo" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #he #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### heb-epo * source group: Hebrew * target group: Esperanto * OPUS readme: heb-epo * model: transformer-align * source language(s): heb * target language(s): epo * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 17.6, chr-F: 0.348 ### System Info: * hf\_name: heb-epo * source\_languages: heb * target\_languages: epo * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['he', 'eo'] * src\_constituents: {'heb'} * tgt\_constituents: {'epo'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: heb * tgt\_alpha3: epo * short\_pair: he-eo * chrF2\_score: 0.348 * bleu: 17.6 * brevity\_penalty: 0.899 * ref\_len: 78217.0 * src\_name: Hebrew * tgt\_name: Esperanto * train\_date: 2020-06-16 * src\_alpha2: he * tgt\_alpha2: eo * prefer\_old: False * long\_pair: heb-epo * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### heb-epo\n\n\n* source group: Hebrew\n* target group: Esperanto\n* OPUS readme: heb-epo\n* model: transformer-align\n* source language(s): heb\n* target language(s): epo\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 17.6, chr-F: 0.348", "### System Info:\n\n\n* hf\\_name: heb-epo\n* source\\_languages: heb\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['he', 'eo']\n* src\\_constituents: {'heb'}\n* tgt\\_constituents: {'epo'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: heb\n* tgt\\_alpha3: epo\n* short\\_pair: he-eo\n* chrF2\\_score: 0.348\n* bleu: 17.6\n* brevity\\_penalty: 0.899\n* ref\\_len: 78217.0\n* src\\_name: Hebrew\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: he\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: heb-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #he #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### heb-epo\n\n\n* source group: Hebrew\n* target group: Esperanto\n* OPUS readme: heb-epo\n* model: transformer-align\n* source language(s): heb\n* target language(s): epo\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 17.6, chr-F: 0.348", "### System Info:\n\n\n* hf\\_name: heb-epo\n* source\\_languages: heb\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['he', 'eo']\n* src\\_constituents: {'heb'}\n* tgt\\_constituents: {'epo'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: heb\n* tgt\\_alpha3: epo\n* short\\_pair: he-eo\n* chrF2\\_score: 0.348\n* bleu: 17.6\n* brevity\\_penalty: 0.899\n* ref\\_len: 78217.0\n* src\\_name: Hebrew\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: he\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: heb-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 52, 139, 407 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #he #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### heb-epo\n\n\n* source group: Hebrew\n* target group: Esperanto\n* OPUS readme: heb-epo\n* model: transformer-align\n* source language(s): heb\n* target language(s): epo\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 17.6, chr-F: 0.348### System Info:\n\n\n* hf\\_name: heb-epo\n* source\\_languages: heb\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['he', 'eo']\n* src\\_constituents: {'heb'}\n* tgt\\_constituents: {'epo'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: heb\n* tgt\\_alpha3: epo\n* short\\_pair: he-eo\n* chrF2\\_score: 0.348\n* bleu: 17.6\n* brevity\\_penalty: 0.899\n* ref\\_len: 78217.0\n* src\\_name: Hebrew\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: he\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: heb-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### he-es * source group: Hebrew * target group: Spanish * OPUS readme: [heb-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/heb-spa/README.md) * model: transformer * source language(s): heb * target language(s): spa * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-12-10.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-spa/opus-2020-12-10.zip) * test set translations: [opus-2020-12-10.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-spa/opus-2020-12-10.test.txt) * test set scores: [opus-2020-12-10.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-spa/opus-2020-12-10.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.heb.spa \| 51.3 \| 0.689 \| ### System Info: - hf_name: he-es - source_languages: heb - target_languages: spa - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/heb-spa/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['he', 'es'] - src_constituents: ('Hebrew', {'heb'}) - tgt_constituents: ('Spanish', {'spa'}) - src_multilingual: False - tgt_multilingual: False - long_pair: heb-spa - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/heb-spa/opus-2020-12-10.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/heb-spa/opus-2020-12-10.test.txt - src_alpha3: heb - tgt_alpha3: spa - chrF2_score: 0.6890000000000001 - bleu: 51.3 - brevity_penalty: 0.97 - ref_len: 14213.0 - src_name: Hebrew - tgt_name: Spanish - train_date: 2020-12-10 00:00:00 - src_alpha2: he - tgt_alpha2: es - prefer_old: False - short_pair: he-es - helsinki_git_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96 - transformers_git_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de - port_machine: LM0-400-22516.local - port_time: 2020-12-11-09:15	{"language": ["he", "es"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-he-es	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "he", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "he", "es" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #he #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### he-es * source group: Hebrew * target group: Spanish * OPUS readme: heb-spa * model: transformer * source language(s): heb * target language(s): spa * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 51.3, chr-F: 0.689 ### System Info: * hf\_name: he-es * source\_languages: heb * target\_languages: spa * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['he', 'es'] * src\_constituents: ('Hebrew', {'heb'}) * tgt\_constituents: ('Spanish', {'spa'}) * src\_multilingual: False * tgt\_multilingual: False * long\_pair: heb-spa * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: heb * tgt\_alpha3: spa * chrF2\_score: 0.6890000000000001 * bleu: 51.3 * brevity\_penalty: 0.97 * ref\_len: 14213.0 * src\_name: Hebrew * tgt\_name: Spanish * train\_date: 2020-12-10 00:00:00 * src\_alpha2: he * tgt\_alpha2: es * prefer\_old: False * short\_pair: he-es * helsinki\_git\_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96 * transformers\_git\_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de * port\_machine: URL * port\_time: 2020-12-11-09:15	[ "### he-es\n\n\n* source group: Hebrew\n* target group: Spanish\n* OPUS readme: heb-spa\n* model: transformer\n* source language(s): heb\n* target language(s): spa\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 51.3, chr-F: 0.689", "### System Info:\n\n\n* hf\\_name: he-es\n* source\\_languages: heb\n* target\\_languages: spa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['he', 'es']\n* src\\_constituents: ('Hebrew', {'heb'})\n* tgt\\_constituents: ('Spanish', {'spa'})\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* long\\_pair: heb-spa\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: heb\n* tgt\\_alpha3: spa\n* chrF2\\_score: 0.6890000000000001\n* bleu: 51.3\n* brevity\\_penalty: 0.97\n* ref\\_len: 14213.0\n* src\\_name: Hebrew\n* tgt\\_name: Spanish\n* train\\_date: 2020-12-10 00:00:00\n* src\\_alpha2: he\n* tgt\\_alpha2: es\n* prefer\\_old: False\n* short\\_pair: he-es\n* helsinki\\_git\\_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96\n* transformers\\_git\\_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de\n* port\\_machine: URL\n* port\\_time: 2020-12-11-09:15" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #he #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### he-es\n\n\n* source group: Hebrew\n* target group: Spanish\n* OPUS readme: heb-spa\n* model: transformer\n* source language(s): heb\n* target language(s): spa\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 51.3, chr-F: 0.689", "### System Info:\n\n\n* hf\\_name: he-es\n* source\\_languages: heb\n* target\\_languages: spa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['he', 'es']\n* src\\_constituents: ('Hebrew', {'heb'})\n* tgt\\_constituents: ('Spanish', {'spa'})\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* long\\_pair: heb-spa\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: heb\n* tgt\\_alpha3: spa\n* chrF2\\_score: 0.6890000000000001\n* bleu: 51.3\n* brevity\\_penalty: 0.97\n* ref\\_len: 14213.0\n* src\\_name: Hebrew\n* tgt\\_name: Spanish\n* train\\_date: 2020-12-10 00:00:00\n* src\\_alpha2: he\n* tgt\\_alpha2: es\n* prefer\\_old: False\n* short\\_pair: he-es\n* helsinki\\_git\\_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96\n* transformers\\_git\\_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de\n* port\\_machine: URL\n* port\\_time: 2020-12-11-09:15" ]	[ 51, 129, 419 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #he #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### he-es\n\n\n* source group: Hebrew\n* target group: Spanish\n* OPUS readme: heb-spa\n* model: transformer\n* source language(s): heb\n* target language(s): spa\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 51.3, chr-F: 0.689### System Info:\n\n\n* hf\\_name: he-es\n* source\\_languages: heb\n* target\\_languages: spa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['he', 'es']\n* src\\_constituents: ('Hebrew', {'heb'})\n* tgt\\_constituents: ('Spanish', {'spa'})\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* long\\_pair: heb-spa\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: heb\n* tgt\\_alpha3: spa\n* chrF2\\_score: 0.6890000000000001\n* bleu: 51.3\n* brevity\\_penalty: 0.97\n* ref\\_len: 14213.0\n* src\\_name: Hebrew\n* tgt\\_name: Spanish\n* train\\_date: 2020-12-10 00:00:00\n* src\\_alpha2: he\n* tgt\\_alpha2: es\n* prefer\\_old: False\n* short\\_pair: he-es\n* helsinki\\_git\\_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96\n* transformers\\_git\\_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de\n* port\\_machine: URL\n* port\\_time: 2020-12-11-09:15" ]
translation	transformers	### opus-mt-he-fi * source languages: he * target languages: fi * OPUS readme: [he-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/he-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/he-fi/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/he-fi/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/he-fi/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.he.fi \| 23.3 \| 0.492 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-he-fi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "he", "fi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #he #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-he-fi * source languages: he * target languages: fi * OPUS readme: he-fi * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 23.3, chr-F: 0.492	[ "### opus-mt-he-fi\n\n\n* source languages: he\n* target languages: fi\n* OPUS readme: he-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.3, chr-F: 0.492" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #he #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-he-fi\n\n\n* source languages: he\n* target languages: fi\n* OPUS readme: he-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.3, chr-F: 0.492" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #he #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-he-fi\n\n\n* source languages: he\n* target languages: fi\n* OPUS readme: he-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.3, chr-F: 0.492" ]
translation	transformers	### he-it * source group: Hebrew * target group: Italian * OPUS readme: [heb-ita](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/heb-ita/README.md) * model: transformer * source language(s): heb * target language(s): ita * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-12-10.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-ita/opus-2020-12-10.zip) * test set translations: [opus-2020-12-10.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-ita/opus-2020-12-10.test.txt) * test set scores: [opus-2020-12-10.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-ita/opus-2020-12-10.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.heb.ita \| 41.1 \| 0.643 \| ### System Info: - hf_name: he-it - source_languages: heb - target_languages: ita - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/heb-ita/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['he', 'it'] - src_constituents: ('Hebrew', {'heb'}) - tgt_constituents: ('Italian', {'ita'}) - src_multilingual: False - tgt_multilingual: False - long_pair: heb-ita - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/heb-ita/opus-2020-12-10.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/heb-ita/opus-2020-12-10.test.txt - src_alpha3: heb - tgt_alpha3: ita - chrF2_score: 0.643 - bleu: 41.1 - brevity_penalty: 0.997 - ref_len: 11464.0 - src_name: Hebrew - tgt_name: Italian - train_date: 2020-12-10 00:00:00 - src_alpha2: he - tgt_alpha2: it - prefer_old: False - short_pair: he-it - helsinki_git_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96 - transformers_git_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de - port_machine: LM0-400-22516.local - port_time: 2020-12-11-11:50	{"language": ["he", "it"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-he-it	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "he", "it", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "he", "it" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #he #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### he-it * source group: Hebrew * target group: Italian * OPUS readme: heb-ita * model: transformer * source language(s): heb * target language(s): ita * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 41.1, chr-F: 0.643 ### System Info: * hf\_name: he-it * source\_languages: heb * target\_languages: ita * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['he', 'it'] * src\_constituents: ('Hebrew', {'heb'}) * tgt\_constituents: ('Italian', {'ita'}) * src\_multilingual: False * tgt\_multilingual: False * long\_pair: heb-ita * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: heb * tgt\_alpha3: ita * chrF2\_score: 0.643 * bleu: 41.1 * brevity\_penalty: 0.997 * ref\_len: 11464.0 * src\_name: Hebrew * tgt\_name: Italian * train\_date: 2020-12-10 00:00:00 * src\_alpha2: he * tgt\_alpha2: it * prefer\_old: False * short\_pair: he-it * helsinki\_git\_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96 * transformers\_git\_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de * port\_machine: URL * port\_time: 2020-12-11-11:50	[ "### he-it\n\n\n* source group: Hebrew\n* target group: Italian\n* OPUS readme: heb-ita\n* model: transformer\n* source language(s): heb\n* target language(s): ita\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 41.1, chr-F: 0.643", "### System Info:\n\n\n* hf\\_name: he-it\n* source\\_languages: heb\n* target\\_languages: ita\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['he', 'it']\n* src\\_constituents: ('Hebrew', {'heb'})\n* tgt\\_constituents: ('Italian', {'ita'})\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* long\\_pair: heb-ita\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: heb\n* tgt\\_alpha3: ita\n* chrF2\\_score: 0.643\n* bleu: 41.1\n* brevity\\_penalty: 0.997\n* ref\\_len: 11464.0\n* src\\_name: Hebrew\n* tgt\\_name: Italian\n* train\\_date: 2020-12-10 00:00:00\n* src\\_alpha2: he\n* tgt\\_alpha2: it\n* prefer\\_old: False\n* short\\_pair: he-it\n* helsinki\\_git\\_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96\n* transformers\\_git\\_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de\n* port\\_machine: URL\n* port\\_time: 2020-12-11-11:50" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #he #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### he-it\n\n\n* source group: Hebrew\n* target group: Italian\n* OPUS readme: heb-ita\n* model: transformer\n* source language(s): heb\n* target language(s): ita\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 41.1, chr-F: 0.643", "### System Info:\n\n\n* hf\\_name: he-it\n* source\\_languages: heb\n* target\\_languages: ita\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['he', 'it']\n* src\\_constituents: ('Hebrew', {'heb'})\n* tgt\\_constituents: ('Italian', {'ita'})\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* long\\_pair: heb-ita\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: heb\n* tgt\\_alpha3: ita\n* chrF2\\_score: 0.643\n* bleu: 41.1\n* brevity\\_penalty: 0.997\n* ref\\_len: 11464.0\n* src\\_name: Hebrew\n* tgt\\_name: Italian\n* train\\_date: 2020-12-10 00:00:00\n* src\\_alpha2: he\n* tgt\\_alpha2: it\n* prefer\\_old: False\n* short\\_pair: he-it\n* helsinki\\_git\\_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96\n* transformers\\_git\\_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de\n* port\\_machine: URL\n* port\\_time: 2020-12-11-11:50" ]	[ 51, 131, 418 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #he #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### he-it\n\n\n* source group: Hebrew\n* target group: Italian\n* OPUS readme: heb-ita\n* model: transformer\n* source language(s): heb\n* target language(s): ita\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 41.1, chr-F: 0.643### System Info:\n\n\n* hf\\_name: he-it\n* source\\_languages: heb\n* target\\_languages: ita\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['he', 'it']\n* src\\_constituents: ('Hebrew', {'heb'})\n* tgt\\_constituents: ('Italian', {'ita'})\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* long\\_pair: heb-ita\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: heb\n* tgt\\_alpha3: ita\n* chrF2\\_score: 0.643\n* bleu: 41.1\n* brevity\\_penalty: 0.997\n* ref\\_len: 11464.0\n* src\\_name: Hebrew\n* tgt\\_name: Italian\n* train\\_date: 2020-12-10 00:00:00\n* src\\_alpha2: he\n* tgt\\_alpha2: it\n* prefer\\_old: False\n* short\\_pair: he-it\n* helsinki\\_git\\_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96\n* transformers\\_git\\_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de\n* port\\_machine: URL\n* port\\_time: 2020-12-11-11:50" ]
translation	transformers	### he-ru * source group: Hebrew * target group: Russian * OPUS readme: [heb-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/heb-rus/README.md) * model: transformer * source language(s): heb * target language(s): rus * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-10-04.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-rus/opus-2020-10-04.zip) * test set translations: [opus-2020-10-04.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-rus/opus-2020-10-04.test.txt) * test set scores: [opus-2020-10-04.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-rus/opus-2020-10-04.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.heb.rus \| 40.5 \| 0.599 \| ### System Info: - hf_name: he-ru - source_languages: heb - target_languages: rus - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/heb-rus/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['he', 'ru'] - src_constituents: ('Hebrew', {'heb'}) - tgt_constituents: ('Russian', {'rus'}) - src_multilingual: False - tgt_multilingual: False - long_pair: heb-rus - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/heb-rus/opus-2020-10-04.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/heb-rus/opus-2020-10-04.test.txt - src_alpha3: heb - tgt_alpha3: rus - chrF2_score: 0.599 - bleu: 40.5 - brevity_penalty: 0.963 - ref_len: 16583.0 - src_name: Hebrew - tgt_name: Russian - train_date: 2020-10-04 00:00:00 - src_alpha2: he - tgt_alpha2: ru - prefer_old: False - short_pair: he-ru - helsinki_git_sha: 61fd6908b37d9a7b21cc3e27c1ae1fccedc97561 - transformers_git_sha: b0a907615aca0d728a9bc90f16caef0848f6a435 - port_machine: LM0-400-22516.local - port_time: 2020-10-26-16:16	{"language": ["he", "ru"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-he-ru	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "he", "ru", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "he", "ru" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #he #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### he-ru * source group: Hebrew * target group: Russian * OPUS readme: heb-rus * model: transformer * source language(s): heb * target language(s): rus * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 40.5, chr-F: 0.599 ### System Info: * hf\_name: he-ru * source\_languages: heb * target\_languages: rus * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['he', 'ru'] * src\_constituents: ('Hebrew', {'heb'}) * tgt\_constituents: ('Russian', {'rus'}) * src\_multilingual: False * tgt\_multilingual: False * long\_pair: heb-rus * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: heb * tgt\_alpha3: rus * chrF2\_score: 0.599 * bleu: 40.5 * brevity\_penalty: 0.963 * ref\_len: 16583.0 * src\_name: Hebrew * tgt\_name: Russian * train\_date: 2020-10-04 00:00:00 * src\_alpha2: he * tgt\_alpha2: ru * prefer\_old: False * short\_pair: he-ru * helsinki\_git\_sha: 61fd6908b37d9a7b21cc3e27c1ae1fccedc97561 * transformers\_git\_sha: b0a907615aca0d728a9bc90f16caef0848f6a435 * port\_machine: URL * port\_time: 2020-10-26-16:16	[ "### he-ru\n\n\n* source group: Hebrew\n* target group: Russian\n* OPUS readme: heb-rus\n* model: transformer\n* source language(s): heb\n* target language(s): rus\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 40.5, chr-F: 0.599", "### System Info:\n\n\n* hf\\_name: he-ru\n* source\\_languages: heb\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['he', 'ru']\n* src\\_constituents: ('Hebrew', {'heb'})\n* tgt\\_constituents: ('Russian', {'rus'})\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* long\\_pair: heb-rus\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: heb\n* tgt\\_alpha3: rus\n* chrF2\\_score: 0.599\n* bleu: 40.5\n* brevity\\_penalty: 0.963\n* ref\\_len: 16583.0\n* src\\_name: Hebrew\n* tgt\\_name: Russian\n* train\\_date: 2020-10-04 00:00:00\n* src\\_alpha2: he\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* short\\_pair: he-ru\n* helsinki\\_git\\_sha: 61fd6908b37d9a7b21cc3e27c1ae1fccedc97561\n* transformers\\_git\\_sha: b0a907615aca0d728a9bc90f16caef0848f6a435\n* port\\_machine: URL\n* port\\_time: 2020-10-26-16:16" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #he #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### he-ru\n\n\n* source group: Hebrew\n* target group: Russian\n* OPUS readme: heb-rus\n* model: transformer\n* source language(s): heb\n* target language(s): rus\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 40.5, chr-F: 0.599", "### System Info:\n\n\n* hf\\_name: he-ru\n* source\\_languages: heb\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['he', 'ru']\n* src\\_constituents: ('Hebrew', {'heb'})\n* tgt\\_constituents: ('Russian', {'rus'})\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* long\\_pair: heb-rus\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: heb\n* tgt\\_alpha3: rus\n* chrF2\\_score: 0.599\n* bleu: 40.5\n* brevity\\_penalty: 0.963\n* ref\\_len: 16583.0\n* src\\_name: Hebrew\n* tgt\\_name: Russian\n* train\\_date: 2020-10-04 00:00:00\n* src\\_alpha2: he\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* short\\_pair: he-ru\n* helsinki\\_git\\_sha: 61fd6908b37d9a7b21cc3e27c1ae1fccedc97561\n* transformers\\_git\\_sha: b0a907615aca0d728a9bc90f16caef0848f6a435\n* port\\_machine: URL\n* port\\_time: 2020-10-26-16:16" ]	[ 51, 129, 412 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #he #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### he-ru\n\n\n* source group: Hebrew\n* target group: Russian\n* OPUS readme: heb-rus\n* model: transformer\n* source language(s): heb\n* target language(s): rus\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 40.5, chr-F: 0.599### System Info:\n\n\n* hf\\_name: he-ru\n* source\\_languages: heb\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['he', 'ru']\n* src\\_constituents: ('Hebrew', {'heb'})\n* tgt\\_constituents: ('Russian', {'rus'})\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* long\\_pair: heb-rus\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: heb\n* tgt\\_alpha3: rus\n* chrF2\\_score: 0.599\n* bleu: 40.5\n* brevity\\_penalty: 0.963\n* ref\\_len: 16583.0\n* src\\_name: Hebrew\n* tgt\\_name: Russian\n* train\\_date: 2020-10-04 00:00:00\n* src\\_alpha2: he\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* short\\_pair: he-ru\n* helsinki\\_git\\_sha: 61fd6908b37d9a7b21cc3e27c1ae1fccedc97561\n* transformers\\_git\\_sha: b0a907615aca0d728a9bc90f16caef0848f6a435\n* port\\_machine: URL\n* port\\_time: 2020-10-26-16:16" ]
translation	transformers	### opus-mt-he-sv * source languages: he * target languages: sv * OPUS readme: [he-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/he-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/he-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/he-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/he-sv/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.he.sv \| 28.9 \| 0.493 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-he-sv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "he", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #he #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-he-sv * source languages: he * target languages: sv * OPUS readme: he-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 28.9, chr-F: 0.493	[ "### opus-mt-he-sv\n\n\n* source languages: he\n* target languages: sv\n* OPUS readme: he-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.9, chr-F: 0.493" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #he #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-he-sv\n\n\n* source languages: he\n* target languages: sv\n* OPUS readme: he-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.9, chr-F: 0.493" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #he #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-he-sv\n\n\n* source languages: he\n* target languages: sv\n* OPUS readme: he-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.9, chr-F: 0.493" ]
translation	transformers	### heb-ukr * source group: Hebrew * target group: Ukrainian * OPUS readme: [heb-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/heb-ukr/README.md) * model: transformer-align * source language(s): heb * target language(s): ukr * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-ukr/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-ukr/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-ukr/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.heb.ukr \| 35.4 \| 0.552 \| ### System Info: - hf_name: heb-ukr - source_languages: heb - target_languages: ukr - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/heb-ukr/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['he', 'uk'] - src_constituents: {'heb'} - tgt_constituents: {'ukr'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/heb-ukr/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/heb-ukr/opus-2020-06-17.test.txt - src_alpha3: heb - tgt_alpha3: ukr - short_pair: he-uk - chrF2_score: 0.552 - bleu: 35.4 - brevity_penalty: 0.971 - ref_len: 5163.0 - src_name: Hebrew - tgt_name: Ukrainian - train_date: 2020-06-17 - src_alpha2: he - tgt_alpha2: uk - prefer_old: False - long_pair: heb-ukr - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["he", "uk"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-he-uk	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "he", "uk", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "he", "uk" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #he #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### heb-ukr * source group: Hebrew * target group: Ukrainian * OPUS readme: heb-ukr * model: transformer-align * source language(s): heb * target language(s): ukr * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 35.4, chr-F: 0.552 ### System Info: * hf\_name: heb-ukr * source\_languages: heb * target\_languages: ukr * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['he', 'uk'] * src\_constituents: {'heb'} * tgt\_constituents: {'ukr'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: heb * tgt\_alpha3: ukr * short\_pair: he-uk * chrF2\_score: 0.552 * bleu: 35.4 * brevity\_penalty: 0.971 * ref\_len: 5163.0 * src\_name: Hebrew * tgt\_name: Ukrainian * train\_date: 2020-06-17 * src\_alpha2: he * tgt\_alpha2: uk * prefer\_old: False * long\_pair: heb-ukr * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### heb-ukr\n\n\n* source group: Hebrew\n* target group: Ukrainian\n* OPUS readme: heb-ukr\n* model: transformer-align\n* source language(s): heb\n* target language(s): ukr\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.4, chr-F: 0.552", "### System Info:\n\n\n* hf\\_name: heb-ukr\n* source\\_languages: heb\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['he', 'uk']\n* src\\_constituents: {'heb'}\n* tgt\\_constituents: {'ukr'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: heb\n* tgt\\_alpha3: ukr\n* short\\_pair: he-uk\n* chrF2\\_score: 0.552\n* bleu: 35.4\n* brevity\\_penalty: 0.971\n* ref\\_len: 5163.0\n* src\\_name: Hebrew\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: he\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: heb-ukr\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #he #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### heb-ukr\n\n\n* source group: Hebrew\n* target group: Ukrainian\n* OPUS readme: heb-ukr\n* model: transformer-align\n* source language(s): heb\n* target language(s): ukr\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.4, chr-F: 0.552", "### System Info:\n\n\n* hf\\_name: heb-ukr\n* source\\_languages: heb\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['he', 'uk']\n* src\\_constituents: {'heb'}\n* tgt\\_constituents: {'ukr'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: heb\n* tgt\\_alpha3: ukr\n* short\\_pair: he-uk\n* chrF2\\_score: 0.552\n* bleu: 35.4\n* brevity\\_penalty: 0.971\n* ref\\_len: 5163.0\n* src\\_name: Hebrew\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: he\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: heb-ukr\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 137, 402 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #he #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### heb-ukr\n\n\n* source group: Hebrew\n* target group: Ukrainian\n* OPUS readme: heb-ukr\n* model: transformer-align\n* source language(s): heb\n* target language(s): ukr\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.4, chr-F: 0.552### System Info:\n\n\n* hf\\_name: heb-ukr\n* source\\_languages: heb\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['he', 'uk']\n* src\\_constituents: {'heb'}\n* tgt\\_constituents: {'ukr'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: heb\n* tgt\\_alpha3: ukr\n* short\\_pair: he-uk\n* chrF2\\_score: 0.552\n* bleu: 35.4\n* brevity\\_penalty: 0.971\n* ref\\_len: 5163.0\n* src\\_name: Hebrew\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: he\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: heb-ukr\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### opus-mt-hi-en * source languages: hi * target languages: en * OPUS readme: [hi-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/hi-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/hi-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/hi-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/hi-en/opus-2019-12-18.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newsdev2014.hi.en \| 9.1 \| 0.357 \| \| newstest2014-hien.hi.en \| 13.6 \| 0.409 \| \| Tatoeba.hi.en \| 40.4 \| 0.580 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-hi-en	null	[ "transformers", "pytorch", "tf", "rust", "marian", "text2text-generation", "translation", "hi", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #rust #marian #text2text-generation #translation #hi #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-hi-en * source languages: hi * target languages: en * OPUS readme: hi-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 9.1, chr-F: 0.357 testset: URL, BLEU: 13.6, chr-F: 0.409 testset: URL, BLEU: 40.4, chr-F: 0.580	[ "### opus-mt-hi-en\n\n\n* source languages: hi\n* target languages: en\n* OPUS readme: hi-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 9.1, chr-F: 0.357\ntestset: URL, BLEU: 13.6, chr-F: 0.409\ntestset: URL, BLEU: 40.4, chr-F: 0.580" ]	[ "TAGS\n#transformers #pytorch #tf #rust #marian #text2text-generation #translation #hi #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-hi-en\n\n\n* source languages: hi\n* target languages: en\n* OPUS readme: hi-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 9.1, chr-F: 0.357\ntestset: URL, BLEU: 13.6, chr-F: 0.409\ntestset: URL, BLEU: 40.4, chr-F: 0.580" ]	[ 53, 150 ]	[ "TAGS\n#transformers #pytorch #tf #rust #marian #text2text-generation #translation #hi #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-hi-en\n\n\n* source languages: hi\n* target languages: en\n* OPUS readme: hi-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 9.1, chr-F: 0.357\ntestset: URL, BLEU: 13.6, chr-F: 0.409\ntestset: URL, BLEU: 40.4, chr-F: 0.580" ]
translation	transformers	### hin-urd * source group: Hindi * target group: Urdu * OPUS readme: [hin-urd](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/hin-urd/README.md) * model: transformer-align * source language(s): hin * target language(s): urd * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/hin-urd/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/hin-urd/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/hin-urd/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.hin.urd \| 12.4 \| 0.393 \| ### System Info: - hf_name: hin-urd - source_languages: hin - target_languages: urd - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/hin-urd/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['hi', 'ur'] - src_constituents: {'hin'} - tgt_constituents: {'urd'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/hin-urd/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/hin-urd/opus-2020-06-16.test.txt - src_alpha3: hin - tgt_alpha3: urd - short_pair: hi-ur - chrF2_score: 0.39299999999999996 - bleu: 12.4 - brevity_penalty: 1.0 - ref_len: 1618.0 - src_name: Hindi - tgt_name: Urdu - train_date: 2020-06-16 - src_alpha2: hi - tgt_alpha2: ur - prefer_old: False - long_pair: hin-urd - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["hi", "ur"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-hi-ur	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "hi", "ur", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "hi", "ur" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #hi #ur #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### hin-urd * source group: Hindi * target group: Urdu * OPUS readme: hin-urd * model: transformer-align * source language(s): hin * target language(s): urd * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 12.4, chr-F: 0.393 ### System Info: * hf\_name: hin-urd * source\_languages: hin * target\_languages: urd * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['hi', 'ur'] * src\_constituents: {'hin'} * tgt\_constituents: {'urd'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: hin * tgt\_alpha3: urd * short\_pair: hi-ur * chrF2\_score: 0.39299999999999996 * bleu: 12.4 * brevity\_penalty: 1.0 * ref\_len: 1618.0 * src\_name: Hindi * tgt\_name: Urdu * train\_date: 2020-06-16 * src\_alpha2: hi * tgt\_alpha2: ur * prefer\_old: False * long\_pair: hin-urd * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### hin-urd\n\n\n* source group: Hindi\n* target group: Urdu\n* OPUS readme: hin-urd\n* model: transformer-align\n* source language(s): hin\n* target language(s): urd\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 12.4, chr-F: 0.393", "### System Info:\n\n\n* hf\\_name: hin-urd\n* source\\_languages: hin\n* target\\_languages: urd\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['hi', 'ur']\n* src\\_constituents: {'hin'}\n* tgt\\_constituents: {'urd'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: hin\n* tgt\\_alpha3: urd\n* short\\_pair: hi-ur\n* chrF2\\_score: 0.39299999999999996\n* bleu: 12.4\n* brevity\\_penalty: 1.0\n* ref\\_len: 1618.0\n* src\\_name: Hindi\n* tgt\\_name: Urdu\n* train\\_date: 2020-06-16\n* src\\_alpha2: hi\n* tgt\\_alpha2: ur\n* prefer\\_old: False\n* long\\_pair: hin-urd\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #hi #ur #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### hin-urd\n\n\n* source group: Hindi\n* target group: Urdu\n* OPUS readme: hin-urd\n* model: transformer-align\n* source language(s): hin\n* target language(s): urd\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 12.4, chr-F: 0.393", "### System Info:\n\n\n* hf\\_name: hin-urd\n* source\\_languages: hin\n* target\\_languages: urd\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['hi', 'ur']\n* src\\_constituents: {'hin'}\n* tgt\\_constituents: {'urd'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: hin\n* tgt\\_alpha3: urd\n* short\\_pair: hi-ur\n* chrF2\\_score: 0.39299999999999996\n* bleu: 12.4\n* brevity\\_penalty: 1.0\n* ref\\_len: 1618.0\n* src\\_name: Hindi\n* tgt\\_name: Urdu\n* train\\_date: 2020-06-16\n* src\\_alpha2: hi\n* tgt\\_alpha2: ur\n* prefer\\_old: False\n* long\\_pair: hin-urd\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 137, 412 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #hi #ur #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### hin-urd\n\n\n* source group: Hindi\n* target group: Urdu\n* OPUS readme: hin-urd\n* model: transformer-align\n* source language(s): hin\n* target language(s): urd\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 12.4, chr-F: 0.393### System Info:\n\n\n* hf\\_name: hin-urd\n* source\\_languages: hin\n* target\\_languages: urd\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['hi', 'ur']\n* src\\_constituents: {'hin'}\n* tgt\\_constituents: {'urd'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: hin\n* tgt\\_alpha3: urd\n* short\\_pair: hi-ur\n* chrF2\\_score: 0.39299999999999996\n* bleu: 12.4\n* brevity\\_penalty: 1.0\n* ref\\_len: 1618.0\n* src\\_name: Hindi\n* tgt\\_name: Urdu\n* train\\_date: 2020-06-16\n* src\\_alpha2: hi\n* tgt\\_alpha2: ur\n* prefer\\_old: False\n* long\\_pair: hin-urd\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### opus-mt-hil-de * source languages: hil * target languages: de * OPUS readme: [hil-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/hil-de/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/hil-de/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/hil-de/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/hil-de/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.hil.de \| 26.4 \| 0.479 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-hil-de	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "hil", "de", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #hil #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-hil-de * source languages: hil * target languages: de * OPUS readme: hil-de * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 26.4, chr-F: 0.479	[ "### opus-mt-hil-de\n\n\n* source languages: hil\n* target languages: de\n* OPUS readme: hil-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.4, chr-F: 0.479" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #hil #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-hil-de\n\n\n* source languages: hil\n* target languages: de\n* OPUS readme: hil-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.4, chr-F: 0.479" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #hil #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-hil-de\n\n\n* source languages: hil\n* target languages: de\n* OPUS readme: hil-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.4, chr-F: 0.479" ]
translation	transformers	### opus-mt-hil-en * source languages: hil * target languages: en * OPUS readme: [hil-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/hil-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/hil-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/hil-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/hil-en/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.hil.en \| 49.2 \| 0.638 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-hil-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "hil", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #hil #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-hil-en * source languages: hil * target languages: en * OPUS readme: hil-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 49.2, chr-F: 0.638	[ "### opus-mt-hil-en\n\n\n* source languages: hil\n* target languages: en\n* OPUS readme: hil-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 49.2, chr-F: 0.638" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #hil #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-hil-en\n\n\n* source languages: hil\n* target languages: en\n* OPUS readme: hil-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 49.2, chr-F: 0.638" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #hil #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-hil-en\n\n\n* source languages: hil\n* target languages: en\n* OPUS readme: hil-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 49.2, chr-F: 0.638" ]
translation	transformers	### opus-mt-hil-fi * source languages: hil * target languages: fi * OPUS readme: [hil-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/hil-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/hil-fi/opus-2020-01-24.zip) * test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/hil-fi/opus-2020-01-24.test.txt) * test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/hil-fi/opus-2020-01-24.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.hil.fi \| 29.9 \| 0.547 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-hil-fi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "hil", "fi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #hil #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-hil-fi * source languages: hil * target languages: fi * OPUS readme: hil-fi * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 29.9, chr-F: 0.547	[ "### opus-mt-hil-fi\n\n\n* source languages: hil\n* target languages: fi\n* OPUS readme: hil-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.9, chr-F: 0.547" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #hil #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-hil-fi\n\n\n* source languages: hil\n* target languages: fi\n* OPUS readme: hil-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.9, chr-F: 0.547" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #hil #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-hil-fi\n\n\n* source languages: hil\n* target languages: fi\n* OPUS readme: hil-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.9, chr-F: 0.547" ]
translation	transformers	### opus-mt-ho-en * source languages: ho * target languages: en * OPUS readme: [ho-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ho-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/ho-en/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ho-en/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ho-en/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ho.en \| 26.8 \| 0.428 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ho-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ho", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ho #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ho-en * source languages: ho * target languages: en * OPUS readme: ho-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 26.8, chr-F: 0.428	[ "### opus-mt-ho-en\n\n\n* source languages: ho\n* target languages: en\n* OPUS readme: ho-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.8, chr-F: 0.428" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ho #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ho-en\n\n\n* source languages: ho\n* target languages: en\n* OPUS readme: ho-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.8, chr-F: 0.428" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ho #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ho-en\n\n\n* source languages: ho\n* target languages: en\n* OPUS readme: ho-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.8, chr-F: 0.428" ]
translation	transformers	### opus-mt-hr-es * source languages: hr * target languages: es * OPUS readme: [hr-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/hr-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/hr-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/hr-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/hr-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.hr.es \| 27.9 \| 0.498 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-hr-es	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "hr", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #hr #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-hr-es * source languages: hr * target languages: es * OPUS readme: hr-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 27.9, chr-F: 0.498	[ "### opus-mt-hr-es\n\n\n* source languages: hr\n* target languages: es\n* OPUS readme: hr-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.9, chr-F: 0.498" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #hr #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-hr-es\n\n\n* source languages: hr\n* target languages: es\n* OPUS readme: hr-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.9, chr-F: 0.498" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #hr #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-hr-es\n\n\n* source languages: hr\n* target languages: es\n* OPUS readme: hr-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.9, chr-F: 0.498" ]
translation	transformers	### opus-mt-hr-fi * source languages: hr * target languages: fi * OPUS readme: [hr-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/hr-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/hr-fi/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/hr-fi/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/hr-fi/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.hr.fi \| 25.0 \| 0.519 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-hr-fi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "hr", "fi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #hr #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-hr-fi * source languages: hr * target languages: fi * OPUS readme: hr-fi * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 25.0, chr-F: 0.519	[ "### opus-mt-hr-fi\n\n\n* source languages: hr\n* target languages: fi\n* OPUS readme: hr-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.0, chr-F: 0.519" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #hr #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-hr-fi\n\n\n* source languages: hr\n* target languages: fi\n* OPUS readme: hr-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.0, chr-F: 0.519" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #hr #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-hr-fi\n\n\n* source languages: hr\n* target languages: fi\n* OPUS readme: hr-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.0, chr-F: 0.519" ]
translation	transformers	### opus-mt-hr-fr * source languages: hr * target languages: fr * OPUS readme: [hr-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/hr-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/hr-fr/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/hr-fr/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/hr-fr/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.hr.fr \| 26.1 \| 0.482 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-hr-fr	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "hr", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #hr #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-hr-fr * source languages: hr * target languages: fr * OPUS readme: hr-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 26.1, chr-F: 0.482	[ "### opus-mt-hr-fr\n\n\n* source languages: hr\n* target languages: fr\n* OPUS readme: hr-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.1, chr-F: 0.482" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #hr #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-hr-fr\n\n\n* source languages: hr\n* target languages: fr\n* OPUS readme: hr-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.1, chr-F: 0.482" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #hr #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-hr-fr\n\n\n* source languages: hr\n* target languages: fr\n* OPUS readme: hr-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.1, chr-F: 0.482" ]
translation	transformers	### opus-mt-hr-sv * source languages: hr * target languages: sv * OPUS readme: [hr-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/hr-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/hr-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/hr-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/hr-sv/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.hr.sv \| 30.5 \| 0.526 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-hr-sv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "hr", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #hr #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-hr-sv * source languages: hr * target languages: sv * OPUS readme: hr-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 30.5, chr-F: 0.526	[ "### opus-mt-hr-sv\n\n\n* source languages: hr\n* target languages: sv\n* OPUS readme: hr-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.5, chr-F: 0.526" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #hr #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-hr-sv\n\n\n* source languages: hr\n* target languages: sv\n* OPUS readme: hr-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.5, chr-F: 0.526" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #hr #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-hr-sv\n\n\n* source languages: hr\n* target languages: sv\n* OPUS readme: hr-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.5, chr-F: 0.526" ]
translation	transformers	### opus-mt-ht-en * source languages: ht * target languages: en * OPUS readme: [ht-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ht-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/ht-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ht-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ht-en/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ht.en \| 37.5 \| 0.542 \| \| Tatoeba.ht.en \| 57.0 \| 0.689 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ht-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ht", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ht #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ht-en * source languages: ht * target languages: en * OPUS readme: ht-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 37.5, chr-F: 0.542 testset: URL, BLEU: 57.0, chr-F: 0.689	[ "### opus-mt-ht-en\n\n\n* source languages: ht\n* target languages: en\n* OPUS readme: ht-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.5, chr-F: 0.542\ntestset: URL, BLEU: 57.0, chr-F: 0.689" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ht #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ht-en\n\n\n* source languages: ht\n* target languages: en\n* OPUS readme: ht-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.5, chr-F: 0.542\ntestset: URL, BLEU: 57.0, chr-F: 0.689" ]	[ 52, 132 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ht #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ht-en\n\n\n* source languages: ht\n* target languages: en\n* OPUS readme: ht-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.5, chr-F: 0.542\ntestset: URL, BLEU: 57.0, chr-F: 0.689" ]
translation	transformers	### opus-mt-ht-es * source languages: ht * target languages: es * OPUS readme: [ht-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ht-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/ht-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ht-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ht-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ht.es \| 23.7 \| 0.418 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ht-es	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ht", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ht #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ht-es * source languages: ht * target languages: es * OPUS readme: ht-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 23.7, chr-F: 0.418	[ "### opus-mt-ht-es\n\n\n* source languages: ht\n* target languages: es\n* OPUS readme: ht-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.7, chr-F: 0.418" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ht #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ht-es\n\n\n* source languages: ht\n* target languages: es\n* OPUS readme: ht-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.7, chr-F: 0.418" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ht #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ht-es\n\n\n* source languages: ht\n* target languages: es\n* OPUS readme: ht-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.7, chr-F: 0.418" ]
translation	transformers	### opus-mt-ht-fi * source languages: ht * target languages: fi * OPUS readme: [ht-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ht-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/ht-fi/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ht-fi/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ht-fi/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ht.fi \| 23.3 \| 0.464 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ht-fi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ht", "fi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ht #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ht-fi * source languages: ht * target languages: fi * OPUS readme: ht-fi * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 23.3, chr-F: 0.464	[ "### opus-mt-ht-fi\n\n\n* source languages: ht\n* target languages: fi\n* OPUS readme: ht-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.3, chr-F: 0.464" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ht #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ht-fi\n\n\n* source languages: ht\n* target languages: fi\n* OPUS readme: ht-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.3, chr-F: 0.464" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ht #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ht-fi\n\n\n* source languages: ht\n* target languages: fi\n* OPUS readme: ht-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.3, chr-F: 0.464" ]
translation	transformers	### opus-mt-ht-fr * source languages: ht * target languages: fr * OPUS readme: [ht-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ht-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/ht-fr/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ht-fr/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ht-fr/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ht.fr \| 28.4 \| 0.469 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ht-fr	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ht", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ht #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ht-fr * source languages: ht * target languages: fr * OPUS readme: ht-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 28.4, chr-F: 0.469	[ "### opus-mt-ht-fr\n\n\n* source languages: ht\n* target languages: fr\n* OPUS readme: ht-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.4, chr-F: 0.469" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ht #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ht-fr\n\n\n* source languages: ht\n* target languages: fr\n* OPUS readme: ht-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.4, chr-F: 0.469" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ht #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ht-fr\n\n\n* source languages: ht\n* target languages: fr\n* OPUS readme: ht-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.4, chr-F: 0.469" ]
translation	transformers	### opus-mt-ht-sv * source languages: ht * target languages: sv * OPUS readme: [ht-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ht-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/ht-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ht-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ht-sv/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ht.sv \| 27.9 \| 0.463 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ht-sv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ht", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ht #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ht-sv * source languages: ht * target languages: sv * OPUS readme: ht-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 27.9, chr-F: 0.463	[ "### opus-mt-ht-sv\n\n\n* source languages: ht\n* target languages: sv\n* OPUS readme: ht-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.9, chr-F: 0.463" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ht #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ht-sv\n\n\n* source languages: ht\n* target languages: sv\n* OPUS readme: ht-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.9, chr-F: 0.463" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ht #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ht-sv\n\n\n* source languages: ht\n* target languages: sv\n* OPUS readme: ht-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.9, chr-F: 0.463" ]
translation	transformers	### opus-mt-hu-de * source languages: hu * target languages: de * OPUS readme: [hu-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/hu-de/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/hu-de/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/hu-de/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/hu-de/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.hu.de \| 44.1 \| 0.637 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-hu-de	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "hu", "de", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #hu #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-hu-de * source languages: hu * target languages: de * OPUS readme: hu-de * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 44.1, chr-F: 0.637	[ "### opus-mt-hu-de\n\n\n* source languages: hu\n* target languages: de\n* OPUS readme: hu-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 44.1, chr-F: 0.637" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #hu #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-hu-de\n\n\n* source languages: hu\n* target languages: de\n* OPUS readme: hu-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 44.1, chr-F: 0.637" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #hu #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-hu-de\n\n\n* source languages: hu\n* target languages: de\n* OPUS readme: hu-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 44.1, chr-F: 0.637" ]
translation	transformers	### opus-mt-hu-en * source languages: hu * target languages: en * OPUS readme: [hu-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/hu-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/hu-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/hu-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/hu-en/opus-2019-12-18.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.hu.en \| 52.9 \| 0.683 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-hu-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "hu", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #hu #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-hu-en * source languages: hu * target languages: en * OPUS readme: hu-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 52.9, chr-F: 0.683	[ "### opus-mt-hu-en\n\n\n* source languages: hu\n* target languages: en\n* OPUS readme: hu-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 52.9, chr-F: 0.683" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #hu #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-hu-en\n\n\n* source languages: hu\n* target languages: en\n* OPUS readme: hu-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 52.9, chr-F: 0.683" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #hu #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-hu-en\n\n\n* source languages: hu\n* target languages: en\n* OPUS readme: hu-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 52.9, chr-F: 0.683" ]
translation	transformers	### hun-epo * source group: Hungarian * target group: Esperanto * OPUS readme: [hun-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/hun-epo/README.md) * model: transformer-align * source language(s): hun * target language(s): epo * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/hun-epo/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/hun-epo/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/hun-epo/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.hun.epo \| 17.9 \| 0.378 \| ### System Info: - hf_name: hun-epo - source_languages: hun - target_languages: epo - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/hun-epo/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['hu', 'eo'] - src_constituents: {'hun'} - tgt_constituents: {'epo'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/hun-epo/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/hun-epo/opus-2020-06-16.test.txt - src_alpha3: hun - tgt_alpha3: epo - short_pair: hu-eo - chrF2_score: 0.37799999999999995 - bleu: 17.9 - brevity_penalty: 0.934 - ref_len: 76005.0 - src_name: Hungarian - tgt_name: Esperanto - train_date: 2020-06-16 - src_alpha2: hu - tgt_alpha2: eo - prefer_old: False - long_pair: hun-epo - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["hu", "eo"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-hu-eo	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "hu", "eo", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "hu", "eo" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #hu #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### hun-epo * source group: Hungarian * target group: Esperanto * OPUS readme: hun-epo * model: transformer-align * source language(s): hun * target language(s): epo * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 17.9, chr-F: 0.378 ### System Info: * hf\_name: hun-epo * source\_languages: hun * target\_languages: epo * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['hu', 'eo'] * src\_constituents: {'hun'} * tgt\_constituents: {'epo'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: hun * tgt\_alpha3: epo * short\_pair: hu-eo * chrF2\_score: 0.37799999999999995 * bleu: 17.9 * brevity\_penalty: 0.934 * ref\_len: 76005.0 * src\_name: Hungarian * tgt\_name: Esperanto * train\_date: 2020-06-16 * src\_alpha2: hu * tgt\_alpha2: eo * prefer\_old: False * long\_pair: hun-epo * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### hun-epo\n\n\n* source group: Hungarian\n* target group: Esperanto\n* OPUS readme: hun-epo\n* model: transformer-align\n* source language(s): hun\n* target language(s): epo\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 17.9, chr-F: 0.378", "### System Info:\n\n\n* hf\\_name: hun-epo\n* source\\_languages: hun\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['hu', 'eo']\n* src\\_constituents: {'hun'}\n* tgt\\_constituents: {'epo'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: hun\n* tgt\\_alpha3: epo\n* short\\_pair: hu-eo\n* chrF2\\_score: 0.37799999999999995\n* bleu: 17.9\n* brevity\\_penalty: 0.934\n* ref\\_len: 76005.0\n* src\\_name: Hungarian\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: hu\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: hun-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #hu #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### hun-epo\n\n\n* source group: Hungarian\n* target group: Esperanto\n* OPUS readme: hun-epo\n* model: transformer-align\n* source language(s): hun\n* target language(s): epo\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 17.9, chr-F: 0.378", "### System Info:\n\n\n* hf\\_name: hun-epo\n* source\\_languages: hun\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['hu', 'eo']\n* src\\_constituents: {'hun'}\n* tgt\\_constituents: {'epo'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: hun\n* tgt\\_alpha3: epo\n* short\\_pair: hu-eo\n* chrF2\\_score: 0.37799999999999995\n* bleu: 17.9\n* brevity\\_penalty: 0.934\n* ref\\_len: 76005.0\n* src\\_name: Hungarian\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: hu\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: hun-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 52, 139, 421 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #hu #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### hun-epo\n\n\n* source group: Hungarian\n* target group: Esperanto\n* OPUS readme: hun-epo\n* model: transformer-align\n* source language(s): hun\n* target language(s): epo\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 17.9, chr-F: 0.378### System Info:\n\n\n* hf\\_name: hun-epo\n* source\\_languages: hun\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['hu', 'eo']\n* src\\_constituents: {'hun'}\n* tgt\\_constituents: {'epo'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: hun\n* tgt\\_alpha3: epo\n* short\\_pair: hu-eo\n* chrF2\\_score: 0.37799999999999995\n* bleu: 17.9\n* brevity\\_penalty: 0.934\n* ref\\_len: 76005.0\n* src\\_name: Hungarian\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: hu\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: hun-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### opus-mt-hu-fi * source languages: hu * target languages: fi * OPUS readme: [hu-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/hu-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/hu-fi/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/hu-fi/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/hu-fi/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.hu.fi \| 48.2 \| 0.700 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-hu-fi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "hu", "fi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #hu #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-hu-fi * source languages: hu * target languages: fi * OPUS readme: hu-fi * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 48.2, chr-F: 0.700	[ "### opus-mt-hu-fi\n\n\n* source languages: hu\n* target languages: fi\n* OPUS readme: hu-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 48.2, chr-F: 0.700" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #hu #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-hu-fi\n\n\n* source languages: hu\n* target languages: fi\n* OPUS readme: hu-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 48.2, chr-F: 0.700" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #hu #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-hu-fi\n\n\n* source languages: hu\n* target languages: fi\n* OPUS readme: hu-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 48.2, chr-F: 0.700" ]
translation	transformers	### opus-mt-hu-fr * source languages: hu * target languages: fr * OPUS readme: [hu-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/hu-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/hu-fr/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/hu-fr/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/hu-fr/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.hu.fr \| 50.3 \| 0.660 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-hu-fr	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "hu", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #hu #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-hu-fr * source languages: hu * target languages: fr * OPUS readme: hu-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 50.3, chr-F: 0.660	[ "### opus-mt-hu-fr\n\n\n* source languages: hu\n* target languages: fr\n* OPUS readme: hu-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 50.3, chr-F: 0.660" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #hu #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-hu-fr\n\n\n* source languages: hu\n* target languages: fr\n* OPUS readme: hu-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 50.3, chr-F: 0.660" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #hu #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-hu-fr\n\n\n* source languages: hu\n* target languages: fr\n* OPUS readme: hu-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 50.3, chr-F: 0.660" ]
translation	transformers	### opus-mt-hu-sv * source languages: hu * target languages: sv * OPUS readme: [hu-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/hu-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/hu-sv/opus-2020-01-26.zip) * test set translations: [opus-2020-01-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/hu-sv/opus-2020-01-26.test.txt) * test set scores: [opus-2020-01-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/hu-sv/opus-2020-01-26.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.hu.sv \| 52.6 \| 0.686 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-hu-sv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "hu", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #hu #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-hu-sv * source languages: hu * target languages: sv * OPUS readme: hu-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 52.6, chr-F: 0.686	[ "### opus-mt-hu-sv\n\n\n* source languages: hu\n* target languages: sv\n* OPUS readme: hu-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 52.6, chr-F: 0.686" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #hu #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-hu-sv\n\n\n* source languages: hu\n* target languages: sv\n* OPUS readme: hu-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 52.6, chr-F: 0.686" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #hu #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-hu-sv\n\n\n* source languages: hu\n* target languages: sv\n* OPUS readme: hu-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 52.6, chr-F: 0.686" ]
translation	transformers	### hun-ukr * source group: Hungarian * target group: Ukrainian * OPUS readme: [hun-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/hun-ukr/README.md) * model: transformer-align * source language(s): hun * target language(s): ukr * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/hun-ukr/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/hun-ukr/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/hun-ukr/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.hun.ukr \| 41.2 \| 0.611 \| ### System Info: - hf_name: hun-ukr - source_languages: hun - target_languages: ukr - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/hun-ukr/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['hu', 'uk'] - src_constituents: {'hun'} - tgt_constituents: {'ukr'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/hun-ukr/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/hun-ukr/opus-2020-06-17.test.txt - src_alpha3: hun - tgt_alpha3: ukr - short_pair: hu-uk - chrF2_score: 0.611 - bleu: 41.2 - brevity_penalty: 0.966 - ref_len: 2568.0 - src_name: Hungarian - tgt_name: Ukrainian - train_date: 2020-06-17 - src_alpha2: hu - tgt_alpha2: uk - prefer_old: False - long_pair: hun-ukr - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["hu", "uk"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-hu-uk	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "hu", "uk", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "hu", "uk" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #hu #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### hun-ukr * source group: Hungarian * target group: Ukrainian * OPUS readme: hun-ukr * model: transformer-align * source language(s): hun * target language(s): ukr * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 41.2, chr-F: 0.611 ### System Info: * hf\_name: hun-ukr * source\_languages: hun * target\_languages: ukr * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['hu', 'uk'] * src\_constituents: {'hun'} * tgt\_constituents: {'ukr'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: hun * tgt\_alpha3: ukr * short\_pair: hu-uk * chrF2\_score: 0.611 * bleu: 41.2 * brevity\_penalty: 0.966 * ref\_len: 2568.0 * src\_name: Hungarian * tgt\_name: Ukrainian * train\_date: 2020-06-17 * src\_alpha2: hu * tgt\_alpha2: uk * prefer\_old: False * long\_pair: hun-ukr * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### hun-ukr\n\n\n* source group: Hungarian\n* target group: Ukrainian\n* OPUS readme: hun-ukr\n* model: transformer-align\n* source language(s): hun\n* target language(s): ukr\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 41.2, chr-F: 0.611", "### System Info:\n\n\n* hf\\_name: hun-ukr\n* source\\_languages: hun\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['hu', 'uk']\n* src\\_constituents: {'hun'}\n* tgt\\_constituents: {'ukr'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: hun\n* tgt\\_alpha3: ukr\n* short\\_pair: hu-uk\n* chrF2\\_score: 0.611\n* bleu: 41.2\n* brevity\\_penalty: 0.966\n* ref\\_len: 2568.0\n* src\\_name: Hungarian\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: hu\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: hun-ukr\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #hu #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### hun-ukr\n\n\n* source group: Hungarian\n* target group: Ukrainian\n* OPUS readme: hun-ukr\n* model: transformer-align\n* source language(s): hun\n* target language(s): ukr\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 41.2, chr-F: 0.611", "### System Info:\n\n\n* hf\\_name: hun-ukr\n* source\\_languages: hun\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['hu', 'uk']\n* src\\_constituents: {'hun'}\n* tgt\\_constituents: {'ukr'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: hun\n* tgt\\_alpha3: ukr\n* short\\_pair: hu-uk\n* chrF2\\_score: 0.611\n* bleu: 41.2\n* brevity\\_penalty: 0.966\n* ref\\_len: 2568.0\n* src\\_name: Hungarian\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: hu\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: hun-ukr\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 137, 401 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #hu #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### hun-ukr\n\n\n* source group: Hungarian\n* target group: Ukrainian\n* OPUS readme: hun-ukr\n* model: transformer-align\n* source language(s): hun\n* target language(s): ukr\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 41.2, chr-F: 0.611### System Info:\n\n\n* hf\\_name: hun-ukr\n* source\\_languages: hun\n* target\\_languages: ukr\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['hu', 'uk']\n* src\\_constituents: {'hun'}\n* tgt\\_constituents: {'ukr'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: hun\n* tgt\\_alpha3: ukr\n* short\\_pair: hu-uk\n* chrF2\\_score: 0.611\n* bleu: 41.2\n* brevity\\_penalty: 0.966\n* ref\\_len: 2568.0\n* src\\_name: Hungarian\n* tgt\\_name: Ukrainian\n* train\\_date: 2020-06-17\n* src\\_alpha2: hu\n* tgt\\_alpha2: uk\n* prefer\\_old: False\n* long\\_pair: hun-ukr\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### opus-mt-hy-en * source languages: hy * target languages: en * OPUS readme: [hy-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/hy-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/hy-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/hy-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/hy-en/opus-2019-12-18.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.hy.en \| 29.5 \| 0.466 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-hy-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "hy", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #hy #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-hy-en * source languages: hy * target languages: en * OPUS readme: hy-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 29.5, chr-F: 0.466	[ "### opus-mt-hy-en\n\n\n* source languages: hy\n* target languages: en\n* OPUS readme: hy-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.5, chr-F: 0.466" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #hy #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-hy-en\n\n\n* source languages: hy\n* target languages: en\n* OPUS readme: hy-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.5, chr-F: 0.466" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #hy #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-hy-en\n\n\n* source languages: hy\n* target languages: en\n* OPUS readme: hy-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.5, chr-F: 0.466" ]
translation	transformers	### hye-rus * source group: Armenian * target group: Russian * OPUS readme: [hye-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/hye-rus/README.md) * model: transformer-align * source language(s): hye hye_Latn * target language(s): rus * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/hye-rus/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/hye-rus/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/hye-rus/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.hye.rus \| 25.6 \| 0.476 \| ### System Info: - hf_name: hye-rus - source_languages: hye - target_languages: rus - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/hye-rus/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['hy', 'ru'] - src_constituents: {'hye', 'hye_Latn'} - tgt_constituents: {'rus'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/hye-rus/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/hye-rus/opus-2020-06-16.test.txt - src_alpha3: hye - tgt_alpha3: rus - short_pair: hy-ru - chrF2_score: 0.47600000000000003 - bleu: 25.6 - brevity_penalty: 0.929 - ref_len: 1624.0 - src_name: Armenian - tgt_name: Russian - train_date: 2020-06-16 - src_alpha2: hy - tgt_alpha2: ru - prefer_old: False - long_pair: hye-rus - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["hy", "ru"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-hy-ru	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "hy", "ru", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "hy", "ru" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #hy #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### hye-rus * source group: Armenian * target group: Russian * OPUS readme: hye-rus * model: transformer-align * source language(s): hye hye\_Latn * target language(s): rus * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 25.6, chr-F: 0.476 ### System Info: * hf\_name: hye-rus * source\_languages: hye * target\_languages: rus * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['hy', 'ru'] * src\_constituents: {'hye', 'hye\_Latn'} * tgt\_constituents: {'rus'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: hye * tgt\_alpha3: rus * short\_pair: hy-ru * chrF2\_score: 0.47600000000000003 * bleu: 25.6 * brevity\_penalty: 0.929 * ref\_len: 1624.0 * src\_name: Armenian * tgt\_name: Russian * train\_date: 2020-06-16 * src\_alpha2: hy * tgt\_alpha2: ru * prefer\_old: False * long\_pair: hye-rus * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### hye-rus\n\n\n* source group: Armenian\n* target group: Russian\n* OPUS readme: hye-rus\n* model: transformer-align\n* source language(s): hye hye\\_Latn\n* target language(s): rus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.6, chr-F: 0.476", "### System Info:\n\n\n* hf\\_name: hye-rus\n* source\\_languages: hye\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['hy', 'ru']\n* src\\_constituents: {'hye', 'hye\\_Latn'}\n* tgt\\_constituents: {'rus'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: hye\n* tgt\\_alpha3: rus\n* short\\_pair: hy-ru\n* chrF2\\_score: 0.47600000000000003\n* bleu: 25.6\n* brevity\\_penalty: 0.929\n* ref\\_len: 1624.0\n* src\\_name: Armenian\n* tgt\\_name: Russian\n* train\\_date: 2020-06-16\n* src\\_alpha2: hy\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* long\\_pair: hye-rus\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #hy #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### hye-rus\n\n\n* source group: Armenian\n* target group: Russian\n* OPUS readme: hye-rus\n* model: transformer-align\n* source language(s): hye hye\\_Latn\n* target language(s): rus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.6, chr-F: 0.476", "### System Info:\n\n\n* hf\\_name: hye-rus\n* source\\_languages: hye\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['hy', 'ru']\n* src\\_constituents: {'hye', 'hye\\_Latn'}\n* tgt\\_constituents: {'rus'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: hye\n* tgt\\_alpha3: rus\n* short\\_pair: hy-ru\n* chrF2\\_score: 0.47600000000000003\n* bleu: 25.6\n* brevity\\_penalty: 0.929\n* ref\\_len: 1624.0\n* src\\_name: Armenian\n* tgt\\_name: Russian\n* train\\_date: 2020-06-16\n* src\\_alpha2: hy\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* long\\_pair: hye-rus\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 52, 141, 415 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #hy #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### hye-rus\n\n\n* source group: Armenian\n* target group: Russian\n* OPUS readme: hye-rus\n* model: transformer-align\n* source language(s): hye hye\\_Latn\n* target language(s): rus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.6, chr-F: 0.476### System Info:\n\n\n* hf\\_name: hye-rus\n* source\\_languages: hye\n* target\\_languages: rus\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['hy', 'ru']\n* src\\_constituents: {'hye', 'hye\\_Latn'}\n* tgt\\_constituents: {'rus'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: hye\n* tgt\\_alpha3: rus\n* short\\_pair: hy-ru\n* chrF2\\_score: 0.47600000000000003\n* bleu: 25.6\n* brevity\\_penalty: 0.929\n* ref\\_len: 1624.0\n* src\\_name: Armenian\n* tgt\\_name: Russian\n* train\\_date: 2020-06-16\n* src\\_alpha2: hy\n* tgt\\_alpha2: ru\n* prefer\\_old: False\n* long\\_pair: hye-rus\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### opus-mt-id-en * source languages: id * target languages: en * OPUS readme: [id-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/id-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/id-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/id-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/id-en/opus-2019-12-18.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.id.en \| 47.7 \| 0.647 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-id-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "id", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #id #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-id-en * source languages: id * target languages: en * OPUS readme: id-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 47.7, chr-F: 0.647	[ "### opus-mt-id-en\n\n\n* source languages: id\n* target languages: en\n* OPUS readme: id-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 47.7, chr-F: 0.647" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #id #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-id-en\n\n\n* source languages: id\n* target languages: en\n* OPUS readme: id-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 47.7, chr-F: 0.647" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #id #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-id-en\n\n\n* source languages: id\n* target languages: en\n* OPUS readme: id-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 47.7, chr-F: 0.647" ]
translation	transformers	### opus-mt-id-es * source languages: id * target languages: es * OPUS readme: [id-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/id-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/id-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/id-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/id-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| GlobalVoices.id.es \| 21.8 \| 0.483 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-id-es	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "id", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #id #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-id-es * source languages: id * target languages: es * OPUS readme: id-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 21.8, chr-F: 0.483	[ "### opus-mt-id-es\n\n\n* source languages: id\n* target languages: es\n* OPUS readme: id-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.8, chr-F: 0.483" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #id #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-id-es\n\n\n* source languages: id\n* target languages: es\n* OPUS readme: id-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.8, chr-F: 0.483" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #id #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-id-es\n\n\n* source languages: id\n* target languages: es\n* OPUS readme: id-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.8, chr-F: 0.483" ]
translation	transformers	### opus-mt-id-fi * source languages: id * target languages: fi * OPUS readme: [id-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/id-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/id-fi/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/id-fi/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/id-fi/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.id.fi \| 27.4 \| 0.522 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-id-fi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "id", "fi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #id #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-id-fi * source languages: id * target languages: fi * OPUS readme: id-fi * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 27.4, chr-F: 0.522	[ "### opus-mt-id-fi\n\n\n* source languages: id\n* target languages: fi\n* OPUS readme: id-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.4, chr-F: 0.522" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #id #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-id-fi\n\n\n* source languages: id\n* target languages: fi\n* OPUS readme: id-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.4, chr-F: 0.522" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #id #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-id-fi\n\n\n* source languages: id\n* target languages: fi\n* OPUS readme: id-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.4, chr-F: 0.522" ]
translation	transformers	### opus-mt-id-fr * source languages: id * target languages: fr * OPUS readme: [id-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/id-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/id-fr/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/id-fr/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/id-fr/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.id.fr \| 43.8 \| 0.616 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-id-fr	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "id", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #id #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-id-fr * source languages: id * target languages: fr * OPUS readme: id-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 43.8, chr-F: 0.616	[ "### opus-mt-id-fr\n\n\n* source languages: id\n* target languages: fr\n* OPUS readme: id-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 43.8, chr-F: 0.616" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #id #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-id-fr\n\n\n* source languages: id\n* target languages: fr\n* OPUS readme: id-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 43.8, chr-F: 0.616" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #id #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-id-fr\n\n\n* source languages: id\n* target languages: fr\n* OPUS readme: id-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 43.8, chr-F: 0.616" ]
translation	transformers	### opus-mt-id-sv * source languages: id * target languages: sv * OPUS readme: [id-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/id-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/id-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/id-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/id-sv/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.id.sv \| 32.7 \| 0.527 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-id-sv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "id", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #id #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-id-sv * source languages: id * target languages: sv * OPUS readme: id-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 32.7, chr-F: 0.527	[ "### opus-mt-id-sv\n\n\n* source languages: id\n* target languages: sv\n* OPUS readme: id-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.7, chr-F: 0.527" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #id #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-id-sv\n\n\n* source languages: id\n* target languages: sv\n* OPUS readme: id-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.7, chr-F: 0.527" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #id #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-id-sv\n\n\n* source languages: id\n* target languages: sv\n* OPUS readme: id-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.7, chr-F: 0.527" ]
translation	transformers	### opus-mt-ig-de * source languages: ig * target languages: de * OPUS readme: [ig-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ig-de/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/ig-de/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ig-de/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ig-de/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ig.de \| 20.1 \| 0.393 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ig-de	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ig", "de", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ig #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ig-de * source languages: ig * target languages: de * OPUS readme: ig-de * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 20.1, chr-F: 0.393	[ "### opus-mt-ig-de\n\n\n* source languages: ig\n* target languages: de\n* OPUS readme: ig-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.1, chr-F: 0.393" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ig #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ig-de\n\n\n* source languages: ig\n* target languages: de\n* OPUS readme: ig-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.1, chr-F: 0.393" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ig #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ig-de\n\n\n* source languages: ig\n* target languages: de\n* OPUS readme: ig-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.1, chr-F: 0.393" ]
translation	transformers	### opus-mt-ig-en * source languages: ig * target languages: en * OPUS readme: [ig-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ig-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/ig-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ig-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ig-en/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ig.en \| 36.7 \| 0.520 \| \| Tatoeba.ig.en \| 46.3 \| 0.528 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ig-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ig", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ig #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ig-en * source languages: ig * target languages: en * OPUS readme: ig-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 36.7, chr-F: 0.520 testset: URL, BLEU: 46.3, chr-F: 0.528	[ "### opus-mt-ig-en\n\n\n* source languages: ig\n* target languages: en\n* OPUS readme: ig-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 36.7, chr-F: 0.520\ntestset: URL, BLEU: 46.3, chr-F: 0.528" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ig #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ig-en\n\n\n* source languages: ig\n* target languages: en\n* OPUS readme: ig-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 36.7, chr-F: 0.520\ntestset: URL, BLEU: 46.3, chr-F: 0.528" ]	[ 52, 131 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ig #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ig-en\n\n\n* source languages: ig\n* target languages: en\n* OPUS readme: ig-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 36.7, chr-F: 0.520\ntestset: URL, BLEU: 46.3, chr-F: 0.528" ]
translation	transformers	### opus-mt-ig-es * source languages: ig * target languages: es * OPUS readme: [ig-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ig-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/ig-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ig-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ig-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ig.es \| 24.6 \| 0.420 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ig-es	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ig", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ig #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ig-es * source languages: ig * target languages: es * OPUS readme: ig-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 24.6, chr-F: 0.420	[ "### opus-mt-ig-es\n\n\n* source languages: ig\n* target languages: es\n* OPUS readme: ig-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.6, chr-F: 0.420" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ig #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ig-es\n\n\n* source languages: ig\n* target languages: es\n* OPUS readme: ig-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.6, chr-F: 0.420" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ig #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ig-es\n\n\n* source languages: ig\n* target languages: es\n* OPUS readme: ig-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.6, chr-F: 0.420" ]
translation	transformers	### opus-mt-ig-fi * source languages: ig * target languages: fi * OPUS readme: [ig-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ig-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/ig-fi/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ig-fi/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ig-fi/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ig.fi \| 23.5 \| 0.451 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ig-fi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ig", "fi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ig #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ig-fi * source languages: ig * target languages: fi * OPUS readme: ig-fi * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 23.5, chr-F: 0.451	[ "### opus-mt-ig-fi\n\n\n* source languages: ig\n* target languages: fi\n* OPUS readme: ig-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.5, chr-F: 0.451" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ig #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ig-fi\n\n\n* source languages: ig\n* target languages: fi\n* OPUS readme: ig-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.5, chr-F: 0.451" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ig #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ig-fi\n\n\n* source languages: ig\n* target languages: fi\n* OPUS readme: ig-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.5, chr-F: 0.451" ]
translation	transformers	### opus-mt-ig-fr * source languages: ig * target languages: fr * OPUS readme: [ig-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ig-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/ig-fr/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ig-fr/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ig-fr/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ig.fr \| 25.6 \| 0.427 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ig-fr	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ig", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ig #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ig-fr * source languages: ig * target languages: fr * OPUS readme: ig-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 25.6, chr-F: 0.427	[ "### opus-mt-ig-fr\n\n\n* source languages: ig\n* target languages: fr\n* OPUS readme: ig-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.6, chr-F: 0.427" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ig #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ig-fr\n\n\n* source languages: ig\n* target languages: fr\n* OPUS readme: ig-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.6, chr-F: 0.427" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ig #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ig-fr\n\n\n* source languages: ig\n* target languages: fr\n* OPUS readme: ig-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.6, chr-F: 0.427" ]
translation	transformers	### opus-mt-ig-sv * source languages: ig * target languages: sv * OPUS readme: [ig-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ig-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/ig-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ig-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ig-sv/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ig.sv \| 27.0 \| 0.451 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ig-sv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ig", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ig #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ig-sv * source languages: ig * target languages: sv * OPUS readme: ig-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 27.0, chr-F: 0.451	[ "### opus-mt-ig-sv\n\n\n* source languages: ig\n* target languages: sv\n* OPUS readme: ig-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.0, chr-F: 0.451" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ig #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ig-sv\n\n\n* source languages: ig\n* target languages: sv\n* OPUS readme: ig-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.0, chr-F: 0.451" ]	[ 52, 108 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ig #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ig-sv\n\n\n* source languages: ig\n* target languages: sv\n* OPUS readme: ig-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.0, chr-F: 0.451" ]
translation	transformers	### iir-eng * source group: Indo-Iranian languages * target group: English * OPUS readme: [iir-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/iir-eng/README.md) * model: transformer * source language(s): asm awa ben bho gom guj hif_Latn hin jdt_Cyrl kur_Arab kur_Latn mai mar npi ori oss pan_Guru pes pes_Latn pes_Thaa pnb pus rom san_Deva sin snd_Arab tgk_Cyrl tly_Latn urd zza * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/iir-eng/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/iir-eng/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/iir-eng/opus2m-2020-08-01.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newsdev2014-hineng.hin.eng \| 8.1 \| 0.324 \| \| newsdev2019-engu-gujeng.guj.eng \| 8.1 \| 0.309 \| \| newstest2014-hien-hineng.hin.eng \| 12.1 \| 0.380 \| \| newstest2019-guen-gujeng.guj.eng \| 6.0 \| 0.280 \| \| Tatoeba-test.asm-eng.asm.eng \| 13.9 \| 0.327 \| \| Tatoeba-test.awa-eng.awa.eng \| 7.0 \| 0.219 \| \| Tatoeba-test.ben-eng.ben.eng \| 42.5 \| 0.576 \| \| Tatoeba-test.bho-eng.bho.eng \| 27.3 \| 0.452 \| \| Tatoeba-test.fas-eng.fas.eng \| 5.6 \| 0.262 \| \| Tatoeba-test.guj-eng.guj.eng \| 15.9 \| 0.350 \| \| Tatoeba-test.hif-eng.hif.eng \| 10.1 \| 0.247 \| \| Tatoeba-test.hin-eng.hin.eng \| 36.5 \| 0.544 \| \| Tatoeba-test.jdt-eng.jdt.eng \| 11.4 \| 0.094 \| \| Tatoeba-test.kok-eng.kok.eng \| 6.6 \| 0.256 \| \| Tatoeba-test.kur-eng.kur.eng \| 3.4 \| 0.149 \| \| Tatoeba-test.lah-eng.lah.eng \| 17.4 \| 0.301 \| \| Tatoeba-test.mai-eng.mai.eng \| 65.4 \| 0.703 \| \| Tatoeba-test.mar-eng.mar.eng \| 22.5 \| 0.468 \| \| Tatoeba-test.multi.eng \| 21.3 \| 0.424 \| \| Tatoeba-test.nep-eng.nep.eng \| 3.4 \| 0.185 \| \| Tatoeba-test.ori-eng.ori.eng \| 4.8 \| 0.244 \| \| Tatoeba-test.oss-eng.oss.eng \| 1.6 \| 0.173 \| \| Tatoeba-test.pan-eng.pan.eng \| 14.8 \| 0.348 \| \| Tatoeba-test.pus-eng.pus.eng \| 1.1 \| 0.182 \| \| Tatoeba-test.rom-eng.rom.eng \| 2.8 \| 0.185 \| \| Tatoeba-test.san-eng.san.eng \| 2.8 \| 0.185 \| \| Tatoeba-test.sin-eng.sin.eng \| 22.8 \| 0.474 \| \| Tatoeba-test.snd-eng.snd.eng \| 8.2 \| 0.287 \| \| Tatoeba-test.tgk-eng.tgk.eng \| 11.9 \| 0.321 \| \| Tatoeba-test.tly-eng.tly.eng \| 0.9 \| 0.076 \| \| Tatoeba-test.urd-eng.urd.eng \| 23.9 \| 0.438 \| \| Tatoeba-test.zza-eng.zza.eng \| 0.6 \| 0.098 \| ### System Info: - hf_name: iir-eng - source_languages: iir - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/iir-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['bn', 'or', 'gu', 'mr', 'ur', 'hi', 'ps', 'os', 'as', 'si', 'iir', 'en'] - src_constituents: {'pnb', 'gom', 'ben', 'hif_Latn', 'ori', 'guj', 'pan_Guru', 'snd_Arab', 'npi', 'mar', 'urd', 'pes', 'bho', 'kur_Arab', 'tgk_Cyrl', 'hin', 'kur_Latn', 'pes_Thaa', 'pus', 'san_Deva', 'oss', 'tly_Latn', 'jdt_Cyrl', 'asm', 'zza', 'rom', 'mai', 'pes_Latn', 'awa', 'sin'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/iir-eng/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/iir-eng/opus2m-2020-08-01.test.txt - src_alpha3: iir - tgt_alpha3: eng - short_pair: iir-en - chrF2_score: 0.424 - bleu: 21.3 - brevity_penalty: 1.0 - ref_len: 67026.0 - src_name: Indo-Iranian languages - tgt_name: English - train_date: 2020-08-01 - src_alpha2: iir - tgt_alpha2: en - prefer_old: False - long_pair: iir-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["bn", "or", "gu", "mr", "ur", "hi", "ps", "os", "as", "si", "iir", "en"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-iir-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "bn", "or", "gu", "mr", "ur", "hi", "ps", "os", "as", "si", "iir", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "bn", "or", "gu", "mr", "ur", "hi", "ps", "os", "as", "si", "iir", "en" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #bn #or #gu #mr #ur #hi #ps #os #as #si #iir #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### iir-eng * source group: Indo-Iranian languages * target group: English * OPUS readme: iir-eng * model: transformer * source language(s): asm awa ben bho gom guj hif\_Latn hin jdt\_Cyrl kur\_Arab kur\_Latn mai mar npi ori oss pan\_Guru pes pes\_Latn pes\_Thaa pnb pus rom san\_Deva sin snd\_Arab tgk\_Cyrl tly\_Latn urd zza * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 8.1, chr-F: 0.324 testset: URL, BLEU: 8.1, chr-F: 0.309 testset: URL, BLEU: 12.1, chr-F: 0.380 testset: URL, BLEU: 6.0, chr-F: 0.280 testset: URL, BLEU: 13.9, chr-F: 0.327 testset: URL, BLEU: 7.0, chr-F: 0.219 testset: URL, BLEU: 42.5, chr-F: 0.576 testset: URL, BLEU: 27.3, chr-F: 0.452 testset: URL, BLEU: 5.6, chr-F: 0.262 testset: URL, BLEU: 15.9, chr-F: 0.350 testset: URL, BLEU: 10.1, chr-F: 0.247 testset: URL, BLEU: 36.5, chr-F: 0.544 testset: URL, BLEU: 11.4, chr-F: 0.094 testset: URL, BLEU: 6.6, chr-F: 0.256 testset: URL, BLEU: 3.4, chr-F: 0.149 testset: URL, BLEU: 17.4, chr-F: 0.301 testset: URL, BLEU: 65.4, chr-F: 0.703 testset: URL, BLEU: 22.5, chr-F: 0.468 testset: URL, BLEU: 21.3, chr-F: 0.424 testset: URL, BLEU: 3.4, chr-F: 0.185 testset: URL, BLEU: 4.8, chr-F: 0.244 testset: URL, BLEU: 1.6, chr-F: 0.173 testset: URL, BLEU: 14.8, chr-F: 0.348 testset: URL, BLEU: 1.1, chr-F: 0.182 testset: URL, BLEU: 2.8, chr-F: 0.185 testset: URL, BLEU: 2.8, chr-F: 0.185 testset: URL, BLEU: 22.8, chr-F: 0.474 testset: URL, BLEU: 8.2, chr-F: 0.287 testset: URL, BLEU: 11.9, chr-F: 0.321 testset: URL, BLEU: 0.9, chr-F: 0.076 testset: URL, BLEU: 23.9, chr-F: 0.438 testset: URL, BLEU: 0.6, chr-F: 0.098 ### System Info: * hf\_name: iir-eng * source\_languages: iir * target\_languages: eng * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['bn', 'or', 'gu', 'mr', 'ur', 'hi', 'ps', 'os', 'as', 'si', 'iir', 'en'] * src\_constituents: {'pnb', 'gom', 'ben', 'hif\_Latn', 'ori', 'guj', 'pan\_Guru', 'snd\_Arab', 'npi', 'mar', 'urd', 'pes', 'bho', 'kur\_Arab', 'tgk\_Cyrl', 'hin', 'kur\_Latn', 'pes\_Thaa', 'pus', 'san\_Deva', 'oss', 'tly\_Latn', 'jdt\_Cyrl', 'asm', 'zza', 'rom', 'mai', 'pes\_Latn', 'awa', 'sin'} * tgt\_constituents: {'eng'} * src\_multilingual: True * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: iir * tgt\_alpha3: eng * short\_pair: iir-en * chrF2\_score: 0.424 * bleu: 21.3 * brevity\_penalty: 1.0 * ref\_len: 67026.0 * src\_name: Indo-Iranian languages * tgt\_name: English * train\_date: 2020-08-01 * src\_alpha2: iir * tgt\_alpha2: en * prefer\_old: False * long\_pair: iir-eng * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### iir-eng\n\n\n* source group: Indo-Iranian languages\n* target group: English\n* OPUS readme: iir-eng\n* model: transformer\n* source language(s): asm awa ben bho gom guj hif\\_Latn hin jdt\\_Cyrl kur\\_Arab kur\\_Latn mai mar npi ori oss pan\\_Guru pes pes\\_Latn pes\\_Thaa pnb pus rom san\\_Deva sin snd\\_Arab tgk\\_Cyrl tly\\_Latn urd zza\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 8.1, chr-F: 0.324\ntestset: URL, BLEU: 8.1, chr-F: 0.309\ntestset: URL, BLEU: 12.1, chr-F: 0.380\ntestset: URL, BLEU: 6.0, chr-F: 0.280\ntestset: URL, BLEU: 13.9, chr-F: 0.327\ntestset: URL, BLEU: 7.0, chr-F: 0.219\ntestset: URL, BLEU: 42.5, chr-F: 0.576\ntestset: URL, BLEU: 27.3, chr-F: 0.452\ntestset: URL, BLEU: 5.6, chr-F: 0.262\ntestset: URL, BLEU: 15.9, chr-F: 0.350\ntestset: URL, BLEU: 10.1, chr-F: 0.247\ntestset: URL, BLEU: 36.5, chr-F: 0.544\ntestset: URL, BLEU: 11.4, chr-F: 0.094\ntestset: URL, BLEU: 6.6, chr-F: 0.256\ntestset: URL, BLEU: 3.4, chr-F: 0.149\ntestset: URL, BLEU: 17.4, chr-F: 0.301\ntestset: URL, BLEU: 65.4, chr-F: 0.703\ntestset: URL, BLEU: 22.5, chr-F: 0.468\ntestset: URL, BLEU: 21.3, chr-F: 0.424\ntestset: URL, BLEU: 3.4, chr-F: 0.185\ntestset: URL, BLEU: 4.8, chr-F: 0.244\ntestset: URL, BLEU: 1.6, chr-F: 0.173\ntestset: URL, BLEU: 14.8, chr-F: 0.348\ntestset: URL, BLEU: 1.1, chr-F: 0.182\ntestset: URL, BLEU: 2.8, chr-F: 0.185\ntestset: URL, BLEU: 2.8, chr-F: 0.185\ntestset: URL, BLEU: 22.8, chr-F: 0.474\ntestset: URL, BLEU: 8.2, chr-F: 0.287\ntestset: URL, BLEU: 11.9, chr-F: 0.321\ntestset: URL, BLEU: 0.9, chr-F: 0.076\ntestset: URL, BLEU: 23.9, chr-F: 0.438\ntestset: URL, BLEU: 0.6, chr-F: 0.098", "### System Info:\n\n\n* hf\\_name: iir-eng\n* source\\_languages: iir\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['bn', 'or', 'gu', 'mr', 'ur', 'hi', 'ps', 'os', 'as', 'si', 'iir', 'en']\n* src\\_constituents: {'pnb', 'gom', 'ben', 'hif\\_Latn', 'ori', 'guj', 'pan\\_Guru', 'snd\\_Arab', 'npi', 'mar', 'urd', 'pes', 'bho', 'kur\\_Arab', 'tgk\\_Cyrl', 'hin', 'kur\\_Latn', 'pes\\_Thaa', 'pus', 'san\\_Deva', 'oss', 'tly\\_Latn', 'jdt\\_Cyrl', 'asm', 'zza', 'rom', 'mai', 'pes\\_Latn', 'awa', 'sin'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: iir\n* tgt\\_alpha3: eng\n* short\\_pair: iir-en\n* chrF2\\_score: 0.424\n* bleu: 21.3\n* brevity\\_penalty: 1.0\n* ref\\_len: 67026.0\n* src\\_name: Indo-Iranian languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: iir\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: iir-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #bn #or #gu #mr #ur #hi #ps #os #as #si #iir #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### iir-eng\n\n\n* source group: Indo-Iranian languages\n* target group: English\n* OPUS readme: iir-eng\n* model: transformer\n* source language(s): asm awa ben bho gom guj hif\\_Latn hin jdt\\_Cyrl kur\\_Arab kur\\_Latn mai mar npi ori oss pan\\_Guru pes pes\\_Latn pes\\_Thaa pnb pus rom san\\_Deva sin snd\\_Arab tgk\\_Cyrl tly\\_Latn urd zza\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 8.1, chr-F: 0.324\ntestset: URL, BLEU: 8.1, chr-F: 0.309\ntestset: URL, BLEU: 12.1, chr-F: 0.380\ntestset: URL, BLEU: 6.0, chr-F: 0.280\ntestset: URL, BLEU: 13.9, chr-F: 0.327\ntestset: URL, BLEU: 7.0, chr-F: 0.219\ntestset: URL, BLEU: 42.5, chr-F: 0.576\ntestset: URL, BLEU: 27.3, chr-F: 0.452\ntestset: URL, BLEU: 5.6, chr-F: 0.262\ntestset: URL, BLEU: 15.9, chr-F: 0.350\ntestset: URL, BLEU: 10.1, chr-F: 0.247\ntestset: URL, BLEU: 36.5, chr-F: 0.544\ntestset: URL, BLEU: 11.4, chr-F: 0.094\ntestset: URL, BLEU: 6.6, chr-F: 0.256\ntestset: URL, BLEU: 3.4, chr-F: 0.149\ntestset: URL, BLEU: 17.4, chr-F: 0.301\ntestset: URL, BLEU: 65.4, chr-F: 0.703\ntestset: URL, BLEU: 22.5, chr-F: 0.468\ntestset: URL, BLEU: 21.3, chr-F: 0.424\ntestset: URL, BLEU: 3.4, chr-F: 0.185\ntestset: URL, BLEU: 4.8, chr-F: 0.244\ntestset: URL, BLEU: 1.6, chr-F: 0.173\ntestset: URL, BLEU: 14.8, chr-F: 0.348\ntestset: URL, BLEU: 1.1, chr-F: 0.182\ntestset: URL, BLEU: 2.8, chr-F: 0.185\ntestset: URL, BLEU: 2.8, chr-F: 0.185\ntestset: URL, BLEU: 22.8, chr-F: 0.474\ntestset: URL, BLEU: 8.2, chr-F: 0.287\ntestset: URL, BLEU: 11.9, chr-F: 0.321\ntestset: URL, BLEU: 0.9, chr-F: 0.076\ntestset: URL, BLEU: 23.9, chr-F: 0.438\ntestset: URL, BLEU: 0.6, chr-F: 0.098", "### System Info:\n\n\n* hf\\_name: iir-eng\n* source\\_languages: iir\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['bn', 'or', 'gu', 'mr', 'ur', 'hi', 'ps', 'os', 'as', 'si', 'iir', 'en']\n* src\\_constituents: {'pnb', 'gom', 'ben', 'hif\\_Latn', 'ori', 'guj', 'pan\\_Guru', 'snd\\_Arab', 'npi', 'mar', 'urd', 'pes', 'bho', 'kur\\_Arab', 'tgk\\_Cyrl', 'hin', 'kur\\_Latn', 'pes\\_Thaa', 'pus', 'san\\_Deva', 'oss', 'tly\\_Latn', 'jdt\\_Cyrl', 'asm', 'zza', 'rom', 'mai', 'pes\\_Latn', 'awa', 'sin'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: iir\n* tgt\\_alpha3: eng\n* short\\_pair: iir-en\n* chrF2\\_score: 0.424\n* bleu: 21.3\n* brevity\\_penalty: 1.0\n* ref\\_len: 67026.0\n* src\\_name: Indo-Iranian languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: iir\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: iir-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 72, 923, 625 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #bn #or #gu #mr #ur #hi #ps #os #as #si #iir #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### iir-eng\n\n\n* source group: Indo-Iranian languages\n* target group: English\n* OPUS readme: iir-eng\n* model: transformer\n* source language(s): asm awa ben bho gom guj hif\\_Latn hin jdt\\_Cyrl kur\\_Arab kur\\_Latn mai mar npi ori oss pan\\_Guru pes pes\\_Latn pes\\_Thaa pnb pus rom san\\_Deva sin snd\\_Arab tgk\\_Cyrl tly\\_Latn urd zza\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 8.1, chr-F: 0.324\ntestset: URL, BLEU: 8.1, chr-F: 0.309\ntestset: URL, BLEU: 12.1, chr-F: 0.380\ntestset: URL, BLEU: 6.0, chr-F: 0.280\ntestset: URL, BLEU: 13.9, chr-F: 0.327\ntestset: URL, BLEU: 7.0, chr-F: 0.219\ntestset: URL, BLEU: 42.5, chr-F: 0.576\ntestset: URL, BLEU: 27.3, chr-F: 0.452\ntestset: URL, BLEU: 5.6, chr-F: 0.262\ntestset: URL, BLEU: 15.9, chr-F: 0.350\ntestset: URL, BLEU: 10.1, chr-F: 0.247\ntestset: URL, BLEU: 36.5, chr-F: 0.544\ntestset: URL, BLEU: 11.4, chr-F: 0.094\ntestset: URL, BLEU: 6.6, chr-F: 0.256\ntestset: URL, BLEU: 3.4, chr-F: 0.149\ntestset: URL, BLEU: 17.4, chr-F: 0.301\ntestset: URL, BLEU: 65.4, chr-F: 0.703\ntestset: URL, BLEU: 22.5, chr-F: 0.468\ntestset: URL, BLEU: 21.3, chr-F: 0.424\ntestset: URL, BLEU: 3.4, chr-F: 0.185\ntestset: URL, BLEU: 4.8, chr-F: 0.244\ntestset: URL, BLEU: 1.6, chr-F: 0.173\ntestset: URL, BLEU: 14.8, chr-F: 0.348\ntestset: URL, BLEU: 1.1, chr-F: 0.182\ntestset: URL, BLEU: 2.8, chr-F: 0.185\ntestset: URL, BLEU: 2.8, chr-F: 0.185\ntestset: URL, BLEU: 22.8, chr-F: 0.474\ntestset: URL, BLEU: 8.2, chr-F: 0.287\ntestset: URL, BLEU: 11.9, chr-F: 0.321\ntestset: URL, BLEU: 0.9, chr-F: 0.076\ntestset: URL, BLEU: 23.9, chr-F: 0.438\ntestset: URL, BLEU: 0.6, chr-F: 0.098### System Info:\n\n\n* hf\\_name: iir-eng\n* source\\_languages: iir\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['bn', 'or', 'gu', 'mr', 'ur', 'hi', 'ps', 'os', 'as', 'si', 'iir', 'en']\n* src\\_constituents: {'pnb', 'gom', 'ben', 'hif\\_Latn', 'ori', 'guj', 'pan\\_Guru', 'snd\\_Arab', 'npi', 'mar', 'urd', 'pes', 'bho', 'kur\\_Arab', 'tgk\\_Cyrl', 'hin', 'kur\\_Latn', 'pes\\_Thaa', 'pus', 'san\\_Deva', 'oss', 'tly\\_Latn', 'jdt\\_Cyrl', 'asm', 'zza', 'rom', 'mai', 'pes\\_Latn', 'awa', 'sin'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: iir\n* tgt\\_alpha3: eng\n* short\\_pair: iir-en\n* chrF2\\_score: 0.424\n* bleu: 21.3\n* brevity\\_penalty: 1.0\n* ref\\_len: 67026.0\n* src\\_name: Indo-Iranian languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: iir\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: iir-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### iir-iir * source group: Indo-Iranian languages * target group: Indo-Iranian languages * OPUS readme: [iir-iir](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/iir-iir/README.md) * model: transformer * source language(s): asm hin mar urd zza * target language(s): asm hin mar urd zza * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/iir-iir/opus-2020-07-27.zip) * test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/iir-iir/opus-2020-07-27.test.txt) * test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/iir-iir/opus-2020-07-27.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.asm-hin.asm.hin \| 3.5 \| 0.202 \| \| Tatoeba-test.asm-zza.asm.zza \| 12.4 \| 0.014 \| \| Tatoeba-test.hin-asm.hin.asm \| 6.2 \| 0.238 \| \| Tatoeba-test.hin-mar.hin.mar \| 27.0 \| 0.560 \| \| Tatoeba-test.hin-urd.hin.urd \| 21.4 \| 0.507 \| \| Tatoeba-test.mar-hin.mar.hin \| 13.4 \| 0.463 \| \| Tatoeba-test.multi.multi \| 17.7 \| 0.460 \| \| Tatoeba-test.urd-hin.urd.hin \| 13.4 \| 0.363 \| \| Tatoeba-test.zza-asm.zza.asm \| 5.3 \| 0.000 \| ### System Info: - hf_name: iir-iir - source_languages: iir - target_languages: iir - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/iir-iir/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['bn', 'or', 'gu', 'mr', 'ur', 'hi', 'ps', 'os', 'as', 'si', 'iir'] - src_constituents: {'pnb', 'gom', 'ben', 'hif_Latn', 'ori', 'guj', 'pan_Guru', 'snd_Arab', 'npi', 'mar', 'urd', 'pes', 'bho', 'kur_Arab', 'tgk_Cyrl', 'hin', 'kur_Latn', 'pes_Thaa', 'pus', 'san_Deva', 'oss', 'tly_Latn', 'jdt_Cyrl', 'asm', 'zza', 'rom', 'mai', 'pes_Latn', 'awa', 'sin'} - tgt_constituents: {'pnb', 'gom', 'ben', 'hif_Latn', 'ori', 'guj', 'pan_Guru', 'snd_Arab', 'npi', 'mar', 'urd', 'pes', 'bho', 'kur_Arab', 'tgk_Cyrl', 'hin', 'kur_Latn', 'pes_Thaa', 'pus', 'san_Deva', 'oss', 'tly_Latn', 'jdt_Cyrl', 'asm', 'zza', 'rom', 'mai', 'pes_Latn', 'awa', 'sin'} - src_multilingual: True - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/iir-iir/opus-2020-07-27.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/iir-iir/opus-2020-07-27.test.txt - src_alpha3: iir - tgt_alpha3: iir - short_pair: iir-iir - chrF2_score: 0.46 - bleu: 17.7 - brevity_penalty: 1.0 - ref_len: 4992.0 - src_name: Indo-Iranian languages - tgt_name: Indo-Iranian languages - train_date: 2020-07-27 - src_alpha2: iir - tgt_alpha2: iir - prefer_old: False - long_pair: iir-iir - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["bn", "or", "gu", "mr", "ur", "hi", "ps", "os", "as", "si", "iir"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-iir-iir	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "bn", "or", "gu", "mr", "ur", "hi", "ps", "os", "as", "si", "iir", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "bn", "or", "gu", "mr", "ur", "hi", "ps", "os", "as", "si", "iir" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #bn #or #gu #mr #ur #hi #ps #os #as #si #iir #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### iir-iir * source group: Indo-Iranian languages * target group: Indo-Iranian languages * OPUS readme: iir-iir * model: transformer * source language(s): asm hin mar urd zza * target language(s): asm hin mar urd zza * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 3.5, chr-F: 0.202 testset: URL, BLEU: 12.4, chr-F: 0.014 testset: URL, BLEU: 6.2, chr-F: 0.238 testset: URL, BLEU: 27.0, chr-F: 0.560 testset: URL, BLEU: 21.4, chr-F: 0.507 testset: URL, BLEU: 13.4, chr-F: 0.463 testset: URL, BLEU: 17.7, chr-F: 0.460 testset: URL, BLEU: 13.4, chr-F: 0.363 testset: URL, BLEU: 5.3, chr-F: 0.000 ### System Info: * hf\_name: iir-iir * source\_languages: iir * target\_languages: iir * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['bn', 'or', 'gu', 'mr', 'ur', 'hi', 'ps', 'os', 'as', 'si', 'iir'] * src\_constituents: {'pnb', 'gom', 'ben', 'hif\_Latn', 'ori', 'guj', 'pan\_Guru', 'snd\_Arab', 'npi', 'mar', 'urd', 'pes', 'bho', 'kur\_Arab', 'tgk\_Cyrl', 'hin', 'kur\_Latn', 'pes\_Thaa', 'pus', 'san\_Deva', 'oss', 'tly\_Latn', 'jdt\_Cyrl', 'asm', 'zza', 'rom', 'mai', 'pes\_Latn', 'awa', 'sin'} * tgt\_constituents: {'pnb', 'gom', 'ben', 'hif\_Latn', 'ori', 'guj', 'pan\_Guru', 'snd\_Arab', 'npi', 'mar', 'urd', 'pes', 'bho', 'kur\_Arab', 'tgk\_Cyrl', 'hin', 'kur\_Latn', 'pes\_Thaa', 'pus', 'san\_Deva', 'oss', 'tly\_Latn', 'jdt\_Cyrl', 'asm', 'zza', 'rom', 'mai', 'pes\_Latn', 'awa', 'sin'} * src\_multilingual: True * tgt\_multilingual: True * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: iir * tgt\_alpha3: iir * short\_pair: iir-iir * chrF2\_score: 0.46 * bleu: 17.7 * brevity\_penalty: 1.0 * ref\_len: 4992.0 * src\_name: Indo-Iranian languages * tgt\_name: Indo-Iranian languages * train\_date: 2020-07-27 * src\_alpha2: iir * tgt\_alpha2: iir * prefer\_old: False * long\_pair: iir-iir * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### iir-iir\n\n\n* source group: Indo-Iranian languages\n* target group: Indo-Iranian languages\n* OPUS readme: iir-iir\n* model: transformer\n* source language(s): asm hin mar urd zza\n* target language(s): asm hin mar urd zza\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 3.5, chr-F: 0.202\ntestset: URL, BLEU: 12.4, chr-F: 0.014\ntestset: URL, BLEU: 6.2, chr-F: 0.238\ntestset: URL, BLEU: 27.0, chr-F: 0.560\ntestset: URL, BLEU: 21.4, chr-F: 0.507\ntestset: URL, BLEU: 13.4, chr-F: 0.463\ntestset: URL, BLEU: 17.7, chr-F: 0.460\ntestset: URL, BLEU: 13.4, chr-F: 0.363\ntestset: URL, BLEU: 5.3, chr-F: 0.000", "### System Info:\n\n\n* hf\\_name: iir-iir\n* source\\_languages: iir\n* target\\_languages: iir\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['bn', 'or', 'gu', 'mr', 'ur', 'hi', 'ps', 'os', 'as', 'si', 'iir']\n* src\\_constituents: {'pnb', 'gom', 'ben', 'hif\\_Latn', 'ori', 'guj', 'pan\\_Guru', 'snd\\_Arab', 'npi', 'mar', 'urd', 'pes', 'bho', 'kur\\_Arab', 'tgk\\_Cyrl', 'hin', 'kur\\_Latn', 'pes\\_Thaa', 'pus', 'san\\_Deva', 'oss', 'tly\\_Latn', 'jdt\\_Cyrl', 'asm', 'zza', 'rom', 'mai', 'pes\\_Latn', 'awa', 'sin'}\n* tgt\\_constituents: {'pnb', 'gom', 'ben', 'hif\\_Latn', 'ori', 'guj', 'pan\\_Guru', 'snd\\_Arab', 'npi', 'mar', 'urd', 'pes', 'bho', 'kur\\_Arab', 'tgk\\_Cyrl', 'hin', 'kur\\_Latn', 'pes\\_Thaa', 'pus', 'san\\_Deva', 'oss', 'tly\\_Latn', 'jdt\\_Cyrl', 'asm', 'zza', 'rom', 'mai', 'pes\\_Latn', 'awa', 'sin'}\n* src\\_multilingual: True\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: iir\n* tgt\\_alpha3: iir\n* short\\_pair: iir-iir\n* chrF2\\_score: 0.46\n* bleu: 17.7\n* brevity\\_penalty: 1.0\n* ref\\_len: 4992.0\n* src\\_name: Indo-Iranian languages\n* tgt\\_name: Indo-Iranian languages\n* train\\_date: 2020-07-27\n* src\\_alpha2: iir\n* tgt\\_alpha2: iir\n* prefer\\_old: False\n* long\\_pair: iir-iir\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #bn #or #gu #mr #ur #hi #ps #os #as #si #iir #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### iir-iir\n\n\n* source group: Indo-Iranian languages\n* target group: Indo-Iranian languages\n* OPUS readme: iir-iir\n* model: transformer\n* source language(s): asm hin mar urd zza\n* target language(s): asm hin mar urd zza\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 3.5, chr-F: 0.202\ntestset: URL, BLEU: 12.4, chr-F: 0.014\ntestset: URL, BLEU: 6.2, chr-F: 0.238\ntestset: URL, BLEU: 27.0, chr-F: 0.560\ntestset: URL, BLEU: 21.4, chr-F: 0.507\ntestset: URL, BLEU: 13.4, chr-F: 0.463\ntestset: URL, BLEU: 17.7, chr-F: 0.460\ntestset: URL, BLEU: 13.4, chr-F: 0.363\ntestset: URL, BLEU: 5.3, chr-F: 0.000", "### System Info:\n\n\n* hf\\_name: iir-iir\n* source\\_languages: iir\n* target\\_languages: iir\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['bn', 'or', 'gu', 'mr', 'ur', 'hi', 'ps', 'os', 'as', 'si', 'iir']\n* src\\_constituents: {'pnb', 'gom', 'ben', 'hif\\_Latn', 'ori', 'guj', 'pan\\_Guru', 'snd\\_Arab', 'npi', 'mar', 'urd', 'pes', 'bho', 'kur\\_Arab', 'tgk\\_Cyrl', 'hin', 'kur\\_Latn', 'pes\\_Thaa', 'pus', 'san\\_Deva', 'oss', 'tly\\_Latn', 'jdt\\_Cyrl', 'asm', 'zza', 'rom', 'mai', 'pes\\_Latn', 'awa', 'sin'}\n* tgt\\_constituents: {'pnb', 'gom', 'ben', 'hif\\_Latn', 'ori', 'guj', 'pan\\_Guru', 'snd\\_Arab', 'npi', 'mar', 'urd', 'pes', 'bho', 'kur\\_Arab', 'tgk\\_Cyrl', 'hin', 'kur\\_Latn', 'pes\\_Thaa', 'pus', 'san\\_Deva', 'oss', 'tly\\_Latn', 'jdt\\_Cyrl', 'asm', 'zza', 'rom', 'mai', 'pes\\_Latn', 'awa', 'sin'}\n* src\\_multilingual: True\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: iir\n* tgt\\_alpha3: iir\n* short\\_pair: iir-iir\n* chrF2\\_score: 0.46\n* bleu: 17.7\n* brevity\\_penalty: 1.0\n* ref\\_len: 4992.0\n* src\\_name: Indo-Iranian languages\n* tgt\\_name: Indo-Iranian languages\n* train\\_date: 2020-07-27\n* src\\_alpha2: iir\n* tgt\\_alpha2: iir\n* prefer\\_old: False\n* long\\_pair: iir-iir\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 70, 359, 815 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #bn #or #gu #mr #ur #hi #ps #os #as #si #iir #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### iir-iir\n\n\n* source group: Indo-Iranian languages\n* target group: Indo-Iranian languages\n* OPUS readme: iir-iir\n* model: transformer\n* source language(s): asm hin mar urd zza\n* target language(s): asm hin mar urd zza\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 3.5, chr-F: 0.202\ntestset: URL, BLEU: 12.4, chr-F: 0.014\ntestset: URL, BLEU: 6.2, chr-F: 0.238\ntestset: URL, BLEU: 27.0, chr-F: 0.560\ntestset: URL, BLEU: 21.4, chr-F: 0.507\ntestset: URL, BLEU: 13.4, chr-F: 0.463\ntestset: URL, BLEU: 17.7, chr-F: 0.460\ntestset: URL, BLEU: 13.4, chr-F: 0.363\ntestset: URL, BLEU: 5.3, chr-F: 0.000### System Info:\n\n\n* hf\\_name: iir-iir\n* source\\_languages: iir\n* target\\_languages: iir\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['bn', 'or', 'gu', 'mr', 'ur', 'hi', 'ps', 'os', 'as', 'si', 'iir']\n* src\\_constituents: {'pnb', 'gom', 'ben', 'hif\\_Latn', 'ori', 'guj', 'pan\\_Guru', 'snd\\_Arab', 'npi', 'mar', 'urd', 'pes', 'bho', 'kur\\_Arab', 'tgk\\_Cyrl', 'hin', 'kur\\_Latn', 'pes\\_Thaa', 'pus', 'san\\_Deva', 'oss', 'tly\\_Latn', 'jdt\\_Cyrl', 'asm', 'zza', 'rom', 'mai', 'pes\\_Latn', 'awa', 'sin'}\n* tgt\\_constituents: {'pnb', 'gom', 'ben', 'hif\\_Latn', 'ori', 'guj', 'pan\\_Guru', 'snd\\_Arab', 'npi', 'mar', 'urd', 'pes', 'bho', 'kur\\_Arab', 'tgk\\_Cyrl', 'hin', 'kur\\_Latn', 'pes\\_Thaa', 'pus', 'san\\_Deva', 'oss', 'tly\\_Latn', 'jdt\\_Cyrl', 'asm', 'zza', 'rom', 'mai', 'pes\\_Latn', 'awa', 'sin'}\n* src\\_multilingual: True\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: iir\n* tgt\\_alpha3: iir\n* short\\_pair: iir-iir\n* chrF2\\_score: 0.46\n* bleu: 17.7\n* brevity\\_penalty: 1.0\n* ref\\_len: 4992.0\n* src\\_name: Indo-Iranian languages\n* tgt\\_name: Indo-Iranian languages\n* train\\_date: 2020-07-27\n* src\\_alpha2: iir\n* tgt\\_alpha2: iir\n* prefer\\_old: False\n* long\\_pair: iir-iir\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### opus-mt-ilo-de * source languages: ilo * target languages: de * OPUS readme: [ilo-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ilo-de/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/ilo-de/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ilo-de/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ilo-de/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ilo.de \| 26.1 \| 0.474 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ilo-de	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ilo", "de", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ilo #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ilo-de * source languages: ilo * target languages: de * OPUS readme: ilo-de * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 26.1, chr-F: 0.474	[ "### opus-mt-ilo-de\n\n\n* source languages: ilo\n* target languages: de\n* OPUS readme: ilo-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.1, chr-F: 0.474" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ilo #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ilo-de\n\n\n* source languages: ilo\n* target languages: de\n* OPUS readme: ilo-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.1, chr-F: 0.474" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ilo #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ilo-de\n\n\n* source languages: ilo\n* target languages: de\n* OPUS readme: ilo-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.1, chr-F: 0.474" ]
translation	transformers	### ilo-eng * source group: Iloko * target group: English * OPUS readme: [ilo-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ilo-eng/README.md) * model: transformer-align * source language(s): ilo * target language(s): eng * model: transformer-align * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ilo-eng/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ilo-eng/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ilo-eng/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.ilo.eng \| 36.4 \| 0.558 \| ### System Info: - hf_name: ilo-eng - source_languages: ilo - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ilo-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ilo', 'en'] - src_constituents: {'ilo'} - tgt_constituents: {'eng'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ilo-eng/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ilo-eng/opus-2020-06-16.test.txt - src_alpha3: ilo - tgt_alpha3: eng - short_pair: ilo-en - chrF2_score: 0.5579999999999999 - bleu: 36.4 - brevity_penalty: 1.0 - ref_len: 7384.0 - src_name: Iloko - tgt_name: English - train_date: 2020-06-16 - src_alpha2: ilo - tgt_alpha2: en - prefer_old: False - long_pair: ilo-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ilo", "en"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ilo-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ilo", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "ilo", "en" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ilo #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### ilo-eng * source group: Iloko * target group: English * OPUS readme: ilo-eng * model: transformer-align * source language(s): ilo * target language(s): eng * model: transformer-align * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 36.4, chr-F: 0.558 ### System Info: * hf\_name: ilo-eng * source\_languages: ilo * target\_languages: eng * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ilo', 'en'] * src\_constituents: {'ilo'} * tgt\_constituents: {'eng'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm12k,spm12k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: ilo * tgt\_alpha3: eng * short\_pair: ilo-en * chrF2\_score: 0.5579999999999999 * bleu: 36.4 * brevity\_penalty: 1.0 * ref\_len: 7384.0 * src\_name: Iloko * tgt\_name: English * train\_date: 2020-06-16 * src\_alpha2: ilo * tgt\_alpha2: en * prefer\_old: False * long\_pair: ilo-eng * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### ilo-eng\n\n\n* source group: Iloko\n* target group: English\n* OPUS readme: ilo-eng\n* model: transformer-align\n* source language(s): ilo\n* target language(s): eng\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 36.4, chr-F: 0.558", "### System Info:\n\n\n* hf\\_name: ilo-eng\n* source\\_languages: ilo\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ilo', 'en']\n* src\\_constituents: {'ilo'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ilo\n* tgt\\_alpha3: eng\n* short\\_pair: ilo-en\n* chrF2\\_score: 0.5579999999999999\n* bleu: 36.4\n* brevity\\_penalty: 1.0\n* ref\\_len: 7384.0\n* src\\_name: Iloko\n* tgt\\_name: English\n* train\\_date: 2020-06-16\n* src\\_alpha2: ilo\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: ilo-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ilo #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### ilo-eng\n\n\n* source group: Iloko\n* target group: English\n* OPUS readme: ilo-eng\n* model: transformer-align\n* source language(s): ilo\n* target language(s): eng\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 36.4, chr-F: 0.558", "### System Info:\n\n\n* hf\\_name: ilo-eng\n* source\\_languages: ilo\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ilo', 'en']\n* src\\_constituents: {'ilo'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ilo\n* tgt\\_alpha3: eng\n* short\\_pair: ilo-en\n* chrF2\\_score: 0.5579999999999999\n* bleu: 36.4\n* brevity\\_penalty: 1.0\n* ref\\_len: 7384.0\n* src\\_name: Iloko\n* tgt\\_name: English\n* train\\_date: 2020-06-16\n* src\\_alpha2: ilo\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: ilo-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 52, 135, 413 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ilo #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### ilo-eng\n\n\n* source group: Iloko\n* target group: English\n* OPUS readme: ilo-eng\n* model: transformer-align\n* source language(s): ilo\n* target language(s): eng\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 36.4, chr-F: 0.558### System Info:\n\n\n* hf\\_name: ilo-eng\n* source\\_languages: ilo\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ilo', 'en']\n* src\\_constituents: {'ilo'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ilo\n* tgt\\_alpha3: eng\n* short\\_pair: ilo-en\n* chrF2\\_score: 0.5579999999999999\n* bleu: 36.4\n* brevity\\_penalty: 1.0\n* ref\\_len: 7384.0\n* src\\_name: Iloko\n* tgt\\_name: English\n* train\\_date: 2020-06-16\n* src\\_alpha2: ilo\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: ilo-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### opus-mt-ilo-es * source languages: ilo * target languages: es * OPUS readme: [ilo-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ilo-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/ilo-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ilo-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ilo-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ilo.es \| 30.7 \| 0.496 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ilo-es	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ilo", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ilo #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ilo-es * source languages: ilo * target languages: es * OPUS readme: ilo-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 30.7, chr-F: 0.496	[ "### opus-mt-ilo-es\n\n\n* source languages: ilo\n* target languages: es\n* OPUS readme: ilo-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.7, chr-F: 0.496" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ilo #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ilo-es\n\n\n* source languages: ilo\n* target languages: es\n* OPUS readme: ilo-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.7, chr-F: 0.496" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ilo #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ilo-es\n\n\n* source languages: ilo\n* target languages: es\n* OPUS readme: ilo-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.7, chr-F: 0.496" ]
translation	transformers	### opus-mt-ilo-fi * source languages: ilo * target languages: fi * OPUS readme: [ilo-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ilo-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/ilo-fi/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ilo-fi/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ilo-fi/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ilo.fi \| 27.7 \| 0.516 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ilo-fi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ilo", "fi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ilo #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ilo-fi * source languages: ilo * target languages: fi * OPUS readme: ilo-fi * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 27.7, chr-F: 0.516	[ "### opus-mt-ilo-fi\n\n\n* source languages: ilo\n* target languages: fi\n* OPUS readme: ilo-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.7, chr-F: 0.516" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ilo #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ilo-fi\n\n\n* source languages: ilo\n* target languages: fi\n* OPUS readme: ilo-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.7, chr-F: 0.516" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ilo #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ilo-fi\n\n\n* source languages: ilo\n* target languages: fi\n* OPUS readme: ilo-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.7, chr-F: 0.516" ]
translation	transformers	### opus-mt-ilo-sv * source languages: ilo * target languages: sv * OPUS readme: [ilo-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ilo-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/ilo-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ilo-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ilo-sv/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.ilo.sv \| 31.9 \| 0.515 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ilo-sv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ilo", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ilo #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-ilo-sv * source languages: ilo * target languages: sv * OPUS readme: ilo-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 31.9, chr-F: 0.515	[ "### opus-mt-ilo-sv\n\n\n* source languages: ilo\n* target languages: sv\n* OPUS readme: ilo-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.9, chr-F: 0.515" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ilo #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-ilo-sv\n\n\n* source languages: ilo\n* target languages: sv\n* OPUS readme: ilo-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.9, chr-F: 0.515" ]	[ 52, 109 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ilo #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-ilo-sv\n\n\n* source languages: ilo\n* target languages: sv\n* OPUS readme: ilo-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.9, chr-F: 0.515" ]
translation	transformers	### inc-eng * source group: Indic languages * target group: English * OPUS readme: [inc-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/inc-eng/README.md) * model: transformer * source language(s): asm awa ben bho gom guj hif_Latn hin mai mar npi ori pan_Guru pnb rom san_Deva sin snd_Arab urd * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/inc-eng/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/inc-eng/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/inc-eng/opus2m-2020-08-01.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newsdev2014-hineng.hin.eng \| 8.9 \| 0.341 \| \| newsdev2019-engu-gujeng.guj.eng \| 8.7 \| 0.321 \| \| newstest2014-hien-hineng.hin.eng \| 13.1 \| 0.396 \| \| newstest2019-guen-gujeng.guj.eng \| 6.5 \| 0.290 \| \| Tatoeba-test.asm-eng.asm.eng \| 18.1 \| 0.363 \| \| Tatoeba-test.awa-eng.awa.eng \| 6.2 \| 0.222 \| \| Tatoeba-test.ben-eng.ben.eng \| 44.7 \| 0.595 \| \| Tatoeba-test.bho-eng.bho.eng \| 29.4 \| 0.458 \| \| Tatoeba-test.guj-eng.guj.eng \| 19.3 \| 0.383 \| \| Tatoeba-test.hif-eng.hif.eng \| 3.7 \| 0.220 \| \| Tatoeba-test.hin-eng.hin.eng \| 38.6 \| 0.564 \| \| Tatoeba-test.kok-eng.kok.eng \| 6.6 \| 0.287 \| \| Tatoeba-test.lah-eng.lah.eng \| 16.0 \| 0.272 \| \| Tatoeba-test.mai-eng.mai.eng \| 75.6 \| 0.796 \| \| Tatoeba-test.mar-eng.mar.eng \| 25.9 \| 0.497 \| \| Tatoeba-test.multi.eng \| 29.0 \| 0.502 \| \| Tatoeba-test.nep-eng.nep.eng \| 4.5 \| 0.198 \| \| Tatoeba-test.ori-eng.ori.eng \| 5.0 \| 0.226 \| \| Tatoeba-test.pan-eng.pan.eng \| 17.4 \| 0.375 \| \| Tatoeba-test.rom-eng.rom.eng \| 1.7 \| 0.174 \| \| Tatoeba-test.san-eng.san.eng \| 5.0 \| 0.173 \| \| Tatoeba-test.sin-eng.sin.eng \| 31.2 \| 0.511 \| \| Tatoeba-test.snd-eng.snd.eng \| 45.7 \| 0.670 \| \| Tatoeba-test.urd-eng.urd.eng \| 25.6 \| 0.456 \| ### System Info: - hf_name: inc-eng - source_languages: inc - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/inc-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['bn', 'or', 'gu', 'mr', 'ur', 'hi', 'as', 'si', 'inc', 'en'] - src_constituents: {'pnb', 'gom', 'ben', 'hif_Latn', 'ori', 'guj', 'pan_Guru', 'snd_Arab', 'npi', 'mar', 'urd', 'bho', 'hin', 'san_Deva', 'asm', 'rom', 'mai', 'awa', 'sin'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/inc-eng/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/inc-eng/opus2m-2020-08-01.test.txt - src_alpha3: inc - tgt_alpha3: eng - short_pair: inc-en - chrF2_score: 0.502 - bleu: 29.0 - brevity_penalty: 1.0 - ref_len: 64706.0 - src_name: Indic languages - tgt_name: English - train_date: 2020-08-01 - src_alpha2: inc - tgt_alpha2: en - prefer_old: False - long_pair: inc-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["bn", "or", "gu", "mr", "ur", "hi", "as", "si", "inc", "en"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-inc-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "bn", "or", "gu", "mr", "ur", "hi", "as", "si", "inc", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "bn", "or", "gu", "mr", "ur", "hi", "as", "si", "inc", "en" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #bn #or #gu #mr #ur #hi #as #si #inc #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### inc-eng * source group: Indic languages * target group: English * OPUS readme: inc-eng * model: transformer * source language(s): asm awa ben bho gom guj hif\_Latn hin mai mar npi ori pan\_Guru pnb rom san\_Deva sin snd\_Arab urd * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 8.9, chr-F: 0.341 testset: URL, BLEU: 8.7, chr-F: 0.321 testset: URL, BLEU: 13.1, chr-F: 0.396 testset: URL, BLEU: 6.5, chr-F: 0.290 testset: URL, BLEU: 18.1, chr-F: 0.363 testset: URL, BLEU: 6.2, chr-F: 0.222 testset: URL, BLEU: 44.7, chr-F: 0.595 testset: URL, BLEU: 29.4, chr-F: 0.458 testset: URL, BLEU: 19.3, chr-F: 0.383 testset: URL, BLEU: 3.7, chr-F: 0.220 testset: URL, BLEU: 38.6, chr-F: 0.564 testset: URL, BLEU: 6.6, chr-F: 0.287 testset: URL, BLEU: 16.0, chr-F: 0.272 testset: URL, BLEU: 75.6, chr-F: 0.796 testset: URL, BLEU: 25.9, chr-F: 0.497 testset: URL, BLEU: 29.0, chr-F: 0.502 testset: URL, BLEU: 4.5, chr-F: 0.198 testset: URL, BLEU: 5.0, chr-F: 0.226 testset: URL, BLEU: 17.4, chr-F: 0.375 testset: URL, BLEU: 1.7, chr-F: 0.174 testset: URL, BLEU: 5.0, chr-F: 0.173 testset: URL, BLEU: 31.2, chr-F: 0.511 testset: URL, BLEU: 45.7, chr-F: 0.670 testset: URL, BLEU: 25.6, chr-F: 0.456 ### System Info: * hf\_name: inc-eng * source\_languages: inc * target\_languages: eng * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['bn', 'or', 'gu', 'mr', 'ur', 'hi', 'as', 'si', 'inc', 'en'] * src\_constituents: {'pnb', 'gom', 'ben', 'hif\_Latn', 'ori', 'guj', 'pan\_Guru', 'snd\_Arab', 'npi', 'mar', 'urd', 'bho', 'hin', 'san\_Deva', 'asm', 'rom', 'mai', 'awa', 'sin'} * tgt\_constituents: {'eng'} * src\_multilingual: True * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: inc * tgt\_alpha3: eng * short\_pair: inc-en * chrF2\_score: 0.502 * bleu: 29.0 * brevity\_penalty: 1.0 * ref\_len: 64706.0 * src\_name: Indic languages * tgt\_name: English * train\_date: 2020-08-01 * src\_alpha2: inc * tgt\_alpha2: en * prefer\_old: False * long\_pair: inc-eng * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### inc-eng\n\n\n* source group: Indic languages\n* target group: English\n* OPUS readme: inc-eng\n* model: transformer\n* source language(s): asm awa ben bho gom guj hif\\_Latn hin mai mar npi ori pan\\_Guru pnb rom san\\_Deva sin snd\\_Arab urd\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 8.9, chr-F: 0.341\ntestset: URL, BLEU: 8.7, chr-F: 0.321\ntestset: URL, BLEU: 13.1, chr-F: 0.396\ntestset: URL, BLEU: 6.5, chr-F: 0.290\ntestset: URL, BLEU: 18.1, chr-F: 0.363\ntestset: URL, BLEU: 6.2, chr-F: 0.222\ntestset: URL, BLEU: 44.7, chr-F: 0.595\ntestset: URL, BLEU: 29.4, chr-F: 0.458\ntestset: URL, BLEU: 19.3, chr-F: 0.383\ntestset: URL, BLEU: 3.7, chr-F: 0.220\ntestset: URL, BLEU: 38.6, chr-F: 0.564\ntestset: URL, BLEU: 6.6, chr-F: 0.287\ntestset: URL, BLEU: 16.0, chr-F: 0.272\ntestset: URL, BLEU: 75.6, chr-F: 0.796\ntestset: URL, BLEU: 25.9, chr-F: 0.497\ntestset: URL, BLEU: 29.0, chr-F: 0.502\ntestset: URL, BLEU: 4.5, chr-F: 0.198\ntestset: URL, BLEU: 5.0, chr-F: 0.226\ntestset: URL, BLEU: 17.4, chr-F: 0.375\ntestset: URL, BLEU: 1.7, chr-F: 0.174\ntestset: URL, BLEU: 5.0, chr-F: 0.173\ntestset: URL, BLEU: 31.2, chr-F: 0.511\ntestset: URL, BLEU: 45.7, chr-F: 0.670\ntestset: URL, BLEU: 25.6, chr-F: 0.456", "### System Info:\n\n\n* hf\\_name: inc-eng\n* source\\_languages: inc\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['bn', 'or', 'gu', 'mr', 'ur', 'hi', 'as', 'si', 'inc', 'en']\n* src\\_constituents: {'pnb', 'gom', 'ben', 'hif\\_Latn', 'ori', 'guj', 'pan\\_Guru', 'snd\\_Arab', 'npi', 'mar', 'urd', 'bho', 'hin', 'san\\_Deva', 'asm', 'rom', 'mai', 'awa', 'sin'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: inc\n* tgt\\_alpha3: eng\n* short\\_pair: inc-en\n* chrF2\\_score: 0.502\n* bleu: 29.0\n* brevity\\_penalty: 1.0\n* ref\\_len: 64706.0\n* src\\_name: Indic languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: inc\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: inc-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #bn #or #gu #mr #ur #hi #as #si #inc #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### inc-eng\n\n\n* source group: Indic languages\n* target group: English\n* OPUS readme: inc-eng\n* model: transformer\n* source language(s): asm awa ben bho gom guj hif\\_Latn hin mai mar npi ori pan\\_Guru pnb rom san\\_Deva sin snd\\_Arab urd\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 8.9, chr-F: 0.341\ntestset: URL, BLEU: 8.7, chr-F: 0.321\ntestset: URL, BLEU: 13.1, chr-F: 0.396\ntestset: URL, BLEU: 6.5, chr-F: 0.290\ntestset: URL, BLEU: 18.1, chr-F: 0.363\ntestset: URL, BLEU: 6.2, chr-F: 0.222\ntestset: URL, BLEU: 44.7, chr-F: 0.595\ntestset: URL, BLEU: 29.4, chr-F: 0.458\ntestset: URL, BLEU: 19.3, chr-F: 0.383\ntestset: URL, BLEU: 3.7, chr-F: 0.220\ntestset: URL, BLEU: 38.6, chr-F: 0.564\ntestset: URL, BLEU: 6.6, chr-F: 0.287\ntestset: URL, BLEU: 16.0, chr-F: 0.272\ntestset: URL, BLEU: 75.6, chr-F: 0.796\ntestset: URL, BLEU: 25.9, chr-F: 0.497\ntestset: URL, BLEU: 29.0, chr-F: 0.502\ntestset: URL, BLEU: 4.5, chr-F: 0.198\ntestset: URL, BLEU: 5.0, chr-F: 0.226\ntestset: URL, BLEU: 17.4, chr-F: 0.375\ntestset: URL, BLEU: 1.7, chr-F: 0.174\ntestset: URL, BLEU: 5.0, chr-F: 0.173\ntestset: URL, BLEU: 31.2, chr-F: 0.511\ntestset: URL, BLEU: 45.7, chr-F: 0.670\ntestset: URL, BLEU: 25.6, chr-F: 0.456", "### System Info:\n\n\n* hf\\_name: inc-eng\n* source\\_languages: inc\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['bn', 'or', 'gu', 'mr', 'ur', 'hi', 'as', 'si', 'inc', 'en']\n* src\\_constituents: {'pnb', 'gom', 'ben', 'hif\\_Latn', 'ori', 'guj', 'pan\\_Guru', 'snd\\_Arab', 'npi', 'mar', 'urd', 'bho', 'hin', 'san\\_Deva', 'asm', 'rom', 'mai', 'awa', 'sin'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: inc\n* tgt\\_alpha3: eng\n* short\\_pair: inc-en\n* chrF2\\_score: 0.502\n* bleu: 29.0\n* brevity\\_penalty: 1.0\n* ref\\_len: 64706.0\n* src\\_name: Indic languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: inc\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: inc-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 67, 690, 524 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #bn #or #gu #mr #ur #hi #as #si #inc #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### inc-eng\n\n\n* source group: Indic languages\n* target group: English\n* OPUS readme: inc-eng\n* model: transformer\n* source language(s): asm awa ben bho gom guj hif\\_Latn hin mai mar npi ori pan\\_Guru pnb rom san\\_Deva sin snd\\_Arab urd\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 8.9, chr-F: 0.341\ntestset: URL, BLEU: 8.7, chr-F: 0.321\ntestset: URL, BLEU: 13.1, chr-F: 0.396\ntestset: URL, BLEU: 6.5, chr-F: 0.290\ntestset: URL, BLEU: 18.1, chr-F: 0.363\ntestset: URL, BLEU: 6.2, chr-F: 0.222\ntestset: URL, BLEU: 44.7, chr-F: 0.595\ntestset: URL, BLEU: 29.4, chr-F: 0.458\ntestset: URL, BLEU: 19.3, chr-F: 0.383\ntestset: URL, BLEU: 3.7, chr-F: 0.220\ntestset: URL, BLEU: 38.6, chr-F: 0.564\ntestset: URL, BLEU: 6.6, chr-F: 0.287\ntestset: URL, BLEU: 16.0, chr-F: 0.272\ntestset: URL, BLEU: 75.6, chr-F: 0.796\ntestset: URL, BLEU: 25.9, chr-F: 0.497\ntestset: URL, BLEU: 29.0, chr-F: 0.502\ntestset: URL, BLEU: 4.5, chr-F: 0.198\ntestset: URL, BLEU: 5.0, chr-F: 0.226\ntestset: URL, BLEU: 17.4, chr-F: 0.375\ntestset: URL, BLEU: 1.7, chr-F: 0.174\ntestset: URL, BLEU: 5.0, chr-F: 0.173\ntestset: URL, BLEU: 31.2, chr-F: 0.511\ntestset: URL, BLEU: 45.7, chr-F: 0.670\ntestset: URL, BLEU: 25.6, chr-F: 0.456### System Info:\n\n\n* hf\\_name: inc-eng\n* source\\_languages: inc\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['bn', 'or', 'gu', 'mr', 'ur', 'hi', 'as', 'si', 'inc', 'en']\n* src\\_constituents: {'pnb', 'gom', 'ben', 'hif\\_Latn', 'ori', 'guj', 'pan\\_Guru', 'snd\\_Arab', 'npi', 'mar', 'urd', 'bho', 'hin', 'san\\_Deva', 'asm', 'rom', 'mai', 'awa', 'sin'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: inc\n* tgt\\_alpha3: eng\n* short\\_pair: inc-en\n* chrF2\\_score: 0.502\n* bleu: 29.0\n* brevity\\_penalty: 1.0\n* ref\\_len: 64706.0\n* src\\_name: Indic languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: inc\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: inc-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### inc-inc * source group: Indic languages * target group: Indic languages * OPUS readme: [inc-inc](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/inc-inc/README.md) * model: transformer * source language(s): asm hin mar urd * target language(s): asm hin mar urd * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/inc-inc/opus-2020-07-27.zip) * test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/inc-inc/opus-2020-07-27.test.txt) * test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/inc-inc/opus-2020-07-27.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.asm-hin.asm.hin \| 2.6 \| 0.231 \| \| Tatoeba-test.hin-asm.hin.asm \| 9.1 \| 0.262 \| \| Tatoeba-test.hin-mar.hin.mar \| 28.1 \| 0.548 \| \| Tatoeba-test.hin-urd.hin.urd \| 19.9 \| 0.508 \| \| Tatoeba-test.mar-hin.mar.hin \| 11.6 \| 0.466 \| \| Tatoeba-test.multi.multi \| 17.1 \| 0.464 \| \| Tatoeba-test.urd-hin.urd.hin \| 13.5 \| 0.377 \| ### System Info: - hf_name: inc-inc - source_languages: inc - target_languages: inc - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/inc-inc/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['bn', 'or', 'gu', 'mr', 'ur', 'hi', 'as', 'si', 'inc'] - src_constituents: {'pnb', 'gom', 'ben', 'hif_Latn', 'ori', 'guj', 'pan_Guru', 'snd_Arab', 'npi', 'mar', 'urd', 'bho', 'hin', 'san_Deva', 'asm', 'rom', 'mai', 'awa', 'sin'} - tgt_constituents: {'pnb', 'gom', 'ben', 'hif_Latn', 'ori', 'guj', 'pan_Guru', 'snd_Arab', 'npi', 'mar', 'urd', 'bho', 'hin', 'san_Deva', 'asm', 'rom', 'mai', 'awa', 'sin'} - src_multilingual: True - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/inc-inc/opus-2020-07-27.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/inc-inc/opus-2020-07-27.test.txt - src_alpha3: inc - tgt_alpha3: inc - short_pair: inc-inc - chrF2_score: 0.46399999999999997 - bleu: 17.1 - brevity_penalty: 1.0 - ref_len: 4985.0 - src_name: Indic languages - tgt_name: Indic languages - train_date: 2020-07-27 - src_alpha2: inc - tgt_alpha2: inc - prefer_old: False - long_pair: inc-inc - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["bn", "or", "gu", "mr", "ur", "hi", "as", "si", "inc"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-inc-inc	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "bn", "or", "gu", "mr", "ur", "hi", "as", "si", "inc", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "bn", "or", "gu", "mr", "ur", "hi", "as", "si", "inc" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #bn #or #gu #mr #ur #hi #as #si #inc #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### inc-inc * source group: Indic languages * target group: Indic languages * OPUS readme: inc-inc * model: transformer * source language(s): asm hin mar urd * target language(s): asm hin mar urd * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 2.6, chr-F: 0.231 testset: URL, BLEU: 9.1, chr-F: 0.262 testset: URL, BLEU: 28.1, chr-F: 0.548 testset: URL, BLEU: 19.9, chr-F: 0.508 testset: URL, BLEU: 11.6, chr-F: 0.466 testset: URL, BLEU: 17.1, chr-F: 0.464 testset: URL, BLEU: 13.5, chr-F: 0.377 ### System Info: * hf\_name: inc-inc * source\_languages: inc * target\_languages: inc * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['bn', 'or', 'gu', 'mr', 'ur', 'hi', 'as', 'si', 'inc'] * src\_constituents: {'pnb', 'gom', 'ben', 'hif\_Latn', 'ori', 'guj', 'pan\_Guru', 'snd\_Arab', 'npi', 'mar', 'urd', 'bho', 'hin', 'san\_Deva', 'asm', 'rom', 'mai', 'awa', 'sin'} * tgt\_constituents: {'pnb', 'gom', 'ben', 'hif\_Latn', 'ori', 'guj', 'pan\_Guru', 'snd\_Arab', 'npi', 'mar', 'urd', 'bho', 'hin', 'san\_Deva', 'asm', 'rom', 'mai', 'awa', 'sin'} * src\_multilingual: True * tgt\_multilingual: True * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: inc * tgt\_alpha3: inc * short\_pair: inc-inc * chrF2\_score: 0.46399999999999997 * bleu: 17.1 * brevity\_penalty: 1.0 * ref\_len: 4985.0 * src\_name: Indic languages * tgt\_name: Indic languages * train\_date: 2020-07-27 * src\_alpha2: inc * tgt\_alpha2: inc * prefer\_old: False * long\_pair: inc-inc * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### inc-inc\n\n\n* source group: Indic languages\n* target group: Indic languages\n* OPUS readme: inc-inc\n* model: transformer\n* source language(s): asm hin mar urd\n* target language(s): asm hin mar urd\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 2.6, chr-F: 0.231\ntestset: URL, BLEU: 9.1, chr-F: 0.262\ntestset: URL, BLEU: 28.1, chr-F: 0.548\ntestset: URL, BLEU: 19.9, chr-F: 0.508\ntestset: URL, BLEU: 11.6, chr-F: 0.466\ntestset: URL, BLEU: 17.1, chr-F: 0.464\ntestset: URL, BLEU: 13.5, chr-F: 0.377", "### System Info:\n\n\n* hf\\_name: inc-inc\n* source\\_languages: inc\n* target\\_languages: inc\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['bn', 'or', 'gu', 'mr', 'ur', 'hi', 'as', 'si', 'inc']\n* src\\_constituents: {'pnb', 'gom', 'ben', 'hif\\_Latn', 'ori', 'guj', 'pan\\_Guru', 'snd\\_Arab', 'npi', 'mar', 'urd', 'bho', 'hin', 'san\\_Deva', 'asm', 'rom', 'mai', 'awa', 'sin'}\n* tgt\\_constituents: {'pnb', 'gom', 'ben', 'hif\\_Latn', 'ori', 'guj', 'pan\\_Guru', 'snd\\_Arab', 'npi', 'mar', 'urd', 'bho', 'hin', 'san\\_Deva', 'asm', 'rom', 'mai', 'awa', 'sin'}\n* src\\_multilingual: True\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: inc\n* tgt\\_alpha3: inc\n* short\\_pair: inc-inc\n* chrF2\\_score: 0.46399999999999997\n* bleu: 17.1\n* brevity\\_penalty: 1.0\n* ref\\_len: 4985.0\n* src\\_name: Indic languages\n* tgt\\_name: Indic languages\n* train\\_date: 2020-07-27\n* src\\_alpha2: inc\n* tgt\\_alpha2: inc\n* prefer\\_old: False\n* long\\_pair: inc-inc\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #bn #or #gu #mr #ur #hi #as #si #inc #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### inc-inc\n\n\n* source group: Indic languages\n* target group: Indic languages\n* OPUS readme: inc-inc\n* model: transformer\n* source language(s): asm hin mar urd\n* target language(s): asm hin mar urd\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 2.6, chr-F: 0.231\ntestset: URL, BLEU: 9.1, chr-F: 0.262\ntestset: URL, BLEU: 28.1, chr-F: 0.548\ntestset: URL, BLEU: 19.9, chr-F: 0.508\ntestset: URL, BLEU: 11.6, chr-F: 0.466\ntestset: URL, BLEU: 17.1, chr-F: 0.464\ntestset: URL, BLEU: 13.5, chr-F: 0.377", "### System Info:\n\n\n* hf\\_name: inc-inc\n* source\\_languages: inc\n* target\\_languages: inc\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['bn', 'or', 'gu', 'mr', 'ur', 'hi', 'as', 'si', 'inc']\n* src\\_constituents: {'pnb', 'gom', 'ben', 'hif\\_Latn', 'ori', 'guj', 'pan\\_Guru', 'snd\\_Arab', 'npi', 'mar', 'urd', 'bho', 'hin', 'san\\_Deva', 'asm', 'rom', 'mai', 'awa', 'sin'}\n* tgt\\_constituents: {'pnb', 'gom', 'ben', 'hif\\_Latn', 'ori', 'guj', 'pan\\_Guru', 'snd\\_Arab', 'npi', 'mar', 'urd', 'bho', 'hin', 'san\\_Deva', 'asm', 'rom', 'mai', 'awa', 'sin'}\n* src\\_multilingual: True\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: inc\n* tgt\\_alpha3: inc\n* short\\_pair: inc-inc\n* chrF2\\_score: 0.46399999999999997\n* bleu: 17.1\n* brevity\\_penalty: 1.0\n* ref\\_len: 4985.0\n* src\\_name: Indic languages\n* tgt\\_name: Indic languages\n* train\\_date: 2020-07-27\n* src\\_alpha2: inc\n* tgt\\_alpha2: inc\n* prefer\\_old: False\n* long\\_pair: inc-inc\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 65, 306, 633 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #bn #or #gu #mr #ur #hi #as #si #inc #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### inc-inc\n\n\n* source group: Indic languages\n* target group: Indic languages\n* OPUS readme: inc-inc\n* model: transformer\n* source language(s): asm hin mar urd\n* target language(s): asm hin mar urd\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 2.6, chr-F: 0.231\ntestset: URL, BLEU: 9.1, chr-F: 0.262\ntestset: URL, BLEU: 28.1, chr-F: 0.548\ntestset: URL, BLEU: 19.9, chr-F: 0.508\ntestset: URL, BLEU: 11.6, chr-F: 0.466\ntestset: URL, BLEU: 17.1, chr-F: 0.464\ntestset: URL, BLEU: 13.5, chr-F: 0.377### System Info:\n\n\n* hf\\_name: inc-inc\n* source\\_languages: inc\n* target\\_languages: inc\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['bn', 'or', 'gu', 'mr', 'ur', 'hi', 'as', 'si', 'inc']\n* src\\_constituents: {'pnb', 'gom', 'ben', 'hif\\_Latn', 'ori', 'guj', 'pan\\_Guru', 'snd\\_Arab', 'npi', 'mar', 'urd', 'bho', 'hin', 'san\\_Deva', 'asm', 'rom', 'mai', 'awa', 'sin'}\n* tgt\\_constituents: {'pnb', 'gom', 'ben', 'hif\\_Latn', 'ori', 'guj', 'pan\\_Guru', 'snd\\_Arab', 'npi', 'mar', 'urd', 'bho', 'hin', 'san\\_Deva', 'asm', 'rom', 'mai', 'awa', 'sin'}\n* src\\_multilingual: True\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: inc\n* tgt\\_alpha3: inc\n* short\\_pair: inc-inc\n* chrF2\\_score: 0.46399999999999997\n* bleu: 17.1\n* brevity\\_penalty: 1.0\n* ref\\_len: 4985.0\n* src\\_name: Indic languages\n* tgt\\_name: Indic languages\n* train\\_date: 2020-07-27\n* src\\_alpha2: inc\n* tgt\\_alpha2: inc\n* prefer\\_old: False\n* long\\_pair: inc-inc\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### ine-eng * source group: Indo-European languages * target group: English * OPUS readme: [ine-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ine-eng/README.md) * model: transformer * source language(s): afr aln ang_Latn arg asm ast awa bel bel_Latn ben bho bos_Latn bre bul bul_Latn cat ces cor cos csb_Latn cym dan deu dsb egl ell enm_Latn ext fao fra frm_Latn frr fry gcf_Latn gla gle glg glv gom gos got_Goth grc_Grek gsw guj hat hif_Latn hin hrv hsb hye ind isl ita jdt_Cyrl ksh kur_Arab kur_Latn lad lad_Latn lat_Latn lav lij lit lld_Latn lmo ltg ltz mai mar max_Latn mfe min mkd mwl nds nld nno nob nob_Hebr non_Latn npi oci ori orv_Cyrl oss pan_Guru pap pdc pes pes_Latn pes_Thaa pms pnb pol por prg_Latn pus roh rom ron rue rus san_Deva scn sco sgs sin slv snd_Arab spa sqi srp_Cyrl srp_Latn stq swe swg tgk_Cyrl tly_Latn tmw_Latn ukr urd vec wln yid zlm_Latn zsm_Latn zza * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ine-eng/opus2m-2020-08-01.zip) * test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ine-eng/opus2m-2020-08-01.test.txt) * test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ine-eng/opus2m-2020-08-01.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newsdev2014-hineng.hin.eng \| 11.2 \| 0.375 \| \| newsdev2016-enro-roneng.ron.eng \| 35.5 \| 0.614 \| \| newsdev2017-enlv-laveng.lav.eng \| 25.1 \| 0.542 \| \| newsdev2019-engu-gujeng.guj.eng \| 16.0 \| 0.420 \| \| newsdev2019-enlt-liteng.lit.eng \| 24.0 \| 0.522 \| \| newsdiscussdev2015-enfr-fraeng.fra.eng \| 30.1 \| 0.550 \| \| newsdiscusstest2015-enfr-fraeng.fra.eng \| 33.4 \| 0.572 \| \| newssyscomb2009-ceseng.ces.eng \| 24.0 \| 0.520 \| \| newssyscomb2009-deueng.deu.eng \| 25.7 \| 0.526 \| \| newssyscomb2009-fraeng.fra.eng \| 27.9 \| 0.550 \| \| newssyscomb2009-itaeng.ita.eng \| 31.4 \| 0.574 \| \| newssyscomb2009-spaeng.spa.eng \| 28.3 \| 0.555 \| \| news-test2008-deueng.deu.eng \| 24.0 \| 0.515 \| \| news-test2008-fraeng.fra.eng \| 24.5 \| 0.524 \| \| news-test2008-spaeng.spa.eng \| 25.5 \| 0.533 \| \| newstest2009-ceseng.ces.eng \| 23.3 \| 0.516 \| \| newstest2009-deueng.deu.eng \| 23.2 \| 0.512 \| \| newstest2009-fraeng.fra.eng \| 27.3 \| 0.545 \| \| newstest2009-itaeng.ita.eng \| 30.3 \| 0.567 \| \| newstest2009-spaeng.spa.eng \| 27.9 \| 0.549 \| \| newstest2010-ceseng.ces.eng \| 23.8 \| 0.523 \| \| newstest2010-deueng.deu.eng \| 26.2 \| 0.545 \| \| newstest2010-fraeng.fra.eng \| 28.6 \| 0.562 \| \| newstest2010-spaeng.spa.eng \| 31.4 \| 0.581 \| \| newstest2011-ceseng.ces.eng \| 24.2 \| 0.521 \| \| newstest2011-deueng.deu.eng \| 23.9 \| 0.522 \| \| newstest2011-fraeng.fra.eng \| 29.5 \| 0.570 \| \| newstest2011-spaeng.spa.eng \| 30.3 \| 0.570 \| \| newstest2012-ceseng.ces.eng \| 23.5 \| 0.516 \| \| newstest2012-deueng.deu.eng \| 24.9 \| 0.529 \| \| newstest2012-fraeng.fra.eng \| 30.0 \| 0.568 \| \| newstest2012-ruseng.rus.eng \| 29.9 \| 0.565 \| \| newstest2012-spaeng.spa.eng \| 33.3 \| 0.593 \| \| newstest2013-ceseng.ces.eng \| 25.6 \| 0.531 \| \| newstest2013-deueng.deu.eng \| 27.7 \| 0.545 \| \| newstest2013-fraeng.fra.eng \| 30.0 \| 0.561 \| \| newstest2013-ruseng.rus.eng \| 24.4 \| 0.514 \| \| newstest2013-spaeng.spa.eng \| 30.8 \| 0.577 \| \| newstest2014-csen-ceseng.ces.eng \| 27.7 \| 0.558 \| \| newstest2014-deen-deueng.deu.eng \| 27.7 \| 0.545 \| \| newstest2014-fren-fraeng.fra.eng \| 32.2 \| 0.592 \| \| newstest2014-hien-hineng.hin.eng \| 16.7 \| 0.450 \| \| newstest2014-ruen-ruseng.rus.eng \| 27.2 \| 0.552 \| \| newstest2015-encs-ceseng.ces.eng \| 25.4 \| 0.518 \| \| newstest2015-ende-deueng.deu.eng \| 28.8 \| 0.552 \| \| newstest2015-enru-ruseng.rus.eng \| 25.6 \| 0.527 \| \| newstest2016-encs-ceseng.ces.eng \| 27.0 \| 0.540 \| \| newstest2016-ende-deueng.deu.eng \| 33.5 \| 0.592 \| \| newstest2016-enro-roneng.ron.eng \| 32.8 \| 0.591 \| \| newstest2016-enru-ruseng.rus.eng \| 24.8 \| 0.523 \| \| newstest2017-encs-ceseng.ces.eng \| 23.7 \| 0.510 \| \| newstest2017-ende-deueng.deu.eng \| 29.3 \| 0.556 \| \| newstest2017-enlv-laveng.lav.eng \| 18.9 \| 0.486 \| \| newstest2017-enru-ruseng.rus.eng \| 28.0 \| 0.546 \| \| newstest2018-encs-ceseng.ces.eng \| 24.9 \| 0.521 \| \| newstest2018-ende-deueng.deu.eng \| 36.0 \| 0.604 \| \| newstest2018-enru-ruseng.rus.eng \| 23.8 \| 0.517 \| \| newstest2019-deen-deueng.deu.eng \| 31.5 \| 0.570 \| \| newstest2019-guen-gujeng.guj.eng \| 12.1 \| 0.377 \| \| newstest2019-lten-liteng.lit.eng \| 26.6 \| 0.555 \| \| newstest2019-ruen-ruseng.rus.eng \| 27.5 \| 0.541 \| \| Tatoeba-test.afr-eng.afr.eng \| 59.0 \| 0.724 \| \| Tatoeba-test.ang-eng.ang.eng \| 9.9 \| 0.254 \| \| Tatoeba-test.arg-eng.arg.eng \| 41.6 \| 0.487 \| \| Tatoeba-test.asm-eng.asm.eng \| 22.8 \| 0.392 \| \| Tatoeba-test.ast-eng.ast.eng \| 36.1 \| 0.521 \| \| Tatoeba-test.awa-eng.awa.eng \| 11.6 \| 0.280 \| \| Tatoeba-test.bel-eng.bel.eng \| 42.2 \| 0.597 \| \| Tatoeba-test.ben-eng.ben.eng \| 45.8 \| 0.598 \| \| Tatoeba-test.bho-eng.bho.eng \| 34.4 \| 0.518 \| \| Tatoeba-test.bre-eng.bre.eng \| 24.4 \| 0.405 \| \| Tatoeba-test.bul-eng.bul.eng \| 50.8 \| 0.660 \| \| Tatoeba-test.cat-eng.cat.eng \| 51.2 \| 0.677 \| \| Tatoeba-test.ces-eng.ces.eng \| 47.6 \| 0.641 \| \| Tatoeba-test.cor-eng.cor.eng \| 5.4 \| 0.214 \| \| Tatoeba-test.cos-eng.cos.eng \| 61.0 \| 0.675 \| \| Tatoeba-test.csb-eng.csb.eng \| 22.5 \| 0.394 \| \| Tatoeba-test.cym-eng.cym.eng \| 34.7 \| 0.522 \| \| Tatoeba-test.dan-eng.dan.eng \| 56.2 \| 0.708 \| \| Tatoeba-test.deu-eng.deu.eng \| 44.9 \| 0.625 \| \| Tatoeba-test.dsb-eng.dsb.eng \| 21.0 \| 0.383 \| \| Tatoeba-test.egl-eng.egl.eng \| 6.9 \| 0.221 \| \| Tatoeba-test.ell-eng.ell.eng \| 62.1 \| 0.741 \| \| Tatoeba-test.enm-eng.enm.eng \| 22.6 \| 0.466 \| \| Tatoeba-test.ext-eng.ext.eng \| 33.2 \| 0.496 \| \| Tatoeba-test.fao-eng.fao.eng \| 28.1 \| 0.460 \| \| Tatoeba-test.fas-eng.fas.eng \| 9.6 \| 0.306 \| \| Tatoeba-test.fra-eng.fra.eng \| 50.3 \| 0.661 \| \| Tatoeba-test.frm-eng.frm.eng \| 30.0 \| 0.457 \| \| Tatoeba-test.frr-eng.frr.eng \| 15.2 \| 0.301 \| \| Tatoeba-test.fry-eng.fry.eng \| 34.4 \| 0.525 \| \| Tatoeba-test.gcf-eng.gcf.eng \| 18.4 \| 0.317 \| \| Tatoeba-test.gla-eng.gla.eng \| 24.1 \| 0.400 \| \| Tatoeba-test.gle-eng.gle.eng \| 52.2 \| 0.671 \| \| Tatoeba-test.glg-eng.glg.eng \| 50.5 \| 0.669 \| \| Tatoeba-test.glv-eng.glv.eng \| 5.7 \| 0.189 \| \| Tatoeba-test.gos-eng.gos.eng \| 19.2 \| 0.378 \| \| Tatoeba-test.got-eng.got.eng \| 0.1 \| 0.022 \| \| Tatoeba-test.grc-eng.grc.eng \| 0.9 \| 0.095 \| \| Tatoeba-test.gsw-eng.gsw.eng \| 23.9 \| 0.390 \| \| Tatoeba-test.guj-eng.guj.eng \| 28.0 \| 0.428 \| \| Tatoeba-test.hat-eng.hat.eng \| 44.2 \| 0.567 \| \| Tatoeba-test.hbs-eng.hbs.eng \| 51.6 \| 0.666 \| \| Tatoeba-test.hif-eng.hif.eng \| 22.3 \| 0.451 \| \| Tatoeba-test.hin-eng.hin.eng \| 41.7 \| 0.585 \| \| Tatoeba-test.hsb-eng.hsb.eng \| 46.4 \| 0.590 \| \| Tatoeba-test.hye-eng.hye.eng \| 40.4 \| 0.564 \| \| Tatoeba-test.isl-eng.isl.eng \| 43.8 \| 0.605 \| \| Tatoeba-test.ita-eng.ita.eng \| 60.7 \| 0.735 \| \| Tatoeba-test.jdt-eng.jdt.eng \| 5.5 \| 0.091 \| \| Tatoeba-test.kok-eng.kok.eng \| 7.8 \| 0.205 \| \| Tatoeba-test.ksh-eng.ksh.eng \| 15.8 \| 0.284 \| \| Tatoeba-test.kur-eng.kur.eng \| 11.6 \| 0.232 \| \| Tatoeba-test.lad-eng.lad.eng \| 30.7 \| 0.484 \| \| Tatoeba-test.lah-eng.lah.eng \| 11.0 \| 0.286 \| \| Tatoeba-test.lat-eng.lat.eng \| 24.4 \| 0.432 \| \| Tatoeba-test.lav-eng.lav.eng \| 47.2 \| 0.646 \| \| Tatoeba-test.lij-eng.lij.eng \| 9.0 \| 0.287 \| \| Tatoeba-test.lit-eng.lit.eng \| 51.7 \| 0.670 \| \| Tatoeba-test.lld-eng.lld.eng \| 22.4 \| 0.369 \| \| Tatoeba-test.lmo-eng.lmo.eng \| 26.1 \| 0.381 \| \| Tatoeba-test.ltz-eng.ltz.eng \| 39.8 \| 0.536 \| \| Tatoeba-test.mai-eng.mai.eng \| 72.3 \| 0.758 \| \| Tatoeba-test.mar-eng.mar.eng \| 32.0 \| 0.554 \| \| Tatoeba-test.mfe-eng.mfe.eng \| 63.1 \| 0.822 \| \| Tatoeba-test.mkd-eng.mkd.eng \| 49.5 \| 0.638 \| \| Tatoeba-test.msa-eng.msa.eng \| 38.6 \| 0.566 \| \| Tatoeba-test.multi.eng \| 45.6 \| 0.615 \| \| Tatoeba-test.mwl-eng.mwl.eng \| 40.4 \| 0.767 \| \| Tatoeba-test.nds-eng.nds.eng \| 35.5 \| 0.538 \| \| Tatoeba-test.nep-eng.nep.eng \| 4.9 \| 0.209 \| \| Tatoeba-test.nld-eng.nld.eng \| 54.2 \| 0.694 \| \| Tatoeba-test.non-eng.non.eng \| 39.3 \| 0.573 \| \| Tatoeba-test.nor-eng.nor.eng \| 50.9 \| 0.663 \| \| Tatoeba-test.oci-eng.oci.eng \| 19.6 \| 0.386 \| \| Tatoeba-test.ori-eng.ori.eng \| 16.2 \| 0.364 \| \| Tatoeba-test.orv-eng.orv.eng \| 13.6 \| 0.288 \| \| Tatoeba-test.oss-eng.oss.eng \| 9.4 \| 0.301 \| \| Tatoeba-test.pan-eng.pan.eng \| 17.1 \| 0.389 \| \| Tatoeba-test.pap-eng.pap.eng \| 57.0 \| 0.680 \| \| Tatoeba-test.pdc-eng.pdc.eng \| 41.6 \| 0.526 \| \| Tatoeba-test.pms-eng.pms.eng \| 13.7 \| 0.333 \| \| Tatoeba-test.pol-eng.pol.eng \| 46.5 \| 0.632 \| \| Tatoeba-test.por-eng.por.eng \| 56.4 \| 0.710 \| \| Tatoeba-test.prg-eng.prg.eng \| 2.3 \| 0.193 \| \| Tatoeba-test.pus-eng.pus.eng \| 3.2 \| 0.194 \| \| Tatoeba-test.roh-eng.roh.eng \| 17.5 \| 0.420 \| \| Tatoeba-test.rom-eng.rom.eng \| 5.0 \| 0.237 \| \| Tatoeba-test.ron-eng.ron.eng \| 51.4 \| 0.670 \| \| Tatoeba-test.rue-eng.rue.eng \| 26.0 \| 0.447 \| \| Tatoeba-test.rus-eng.rus.eng \| 47.8 \| 0.634 \| \| Tatoeba-test.san-eng.san.eng \| 4.0 \| 0.195 \| \| Tatoeba-test.scn-eng.scn.eng \| 45.1 \| 0.440 \| \| Tatoeba-test.sco-eng.sco.eng \| 41.9 \| 0.582 \| \| Tatoeba-test.sgs-eng.sgs.eng \| 38.7 \| 0.498 \| \| Tatoeba-test.sin-eng.sin.eng \| 29.7 \| 0.499 \| \| Tatoeba-test.slv-eng.slv.eng \| 38.2 \| 0.564 \| \| Tatoeba-test.snd-eng.snd.eng \| 12.7 \| 0.342 \| \| Tatoeba-test.spa-eng.spa.eng \| 53.2 \| 0.687 \| \| Tatoeba-test.sqi-eng.sqi.eng \| 51.9 \| 0.679 \| \| Tatoeba-test.stq-eng.stq.eng \| 9.0 \| 0.391 \| \| Tatoeba-test.swe-eng.swe.eng \| 57.4 \| 0.705 \| \| Tatoeba-test.swg-eng.swg.eng \| 18.0 \| 0.338 \| \| Tatoeba-test.tgk-eng.tgk.eng \| 24.3 \| 0.413 \| \| Tatoeba-test.tly-eng.tly.eng \| 1.1 \| 0.094 \| \| Tatoeba-test.ukr-eng.ukr.eng \| 48.0 \| 0.639 \| \| Tatoeba-test.urd-eng.urd.eng \| 27.2 \| 0.471 \| \| Tatoeba-test.vec-eng.vec.eng \| 28.0 \| 0.398 \| \| Tatoeba-test.wln-eng.wln.eng \| 17.5 \| 0.320 \| \| Tatoeba-test.yid-eng.yid.eng \| 26.9 \| 0.457 \| \| Tatoeba-test.zza-eng.zza.eng \| 1.7 \| 0.131 \| ### System Info: - hf_name: ine-eng - source_languages: ine - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ine-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ca', 'es', 'os', 'ro', 'fy', 'cy', 'sc', 'is', 'yi', 'lb', 'an', 'sq', 'fr', 'ht', 'rm', 'ps', 'af', 'uk', 'sl', 'lt', 'bg', 'be', 'gd', 'si', 'en', 'br', 'mk', 'or', 'mr', 'ru', 'fo', 'co', 'oc', 'pl', 'gl', 'nb', 'bn', 'id', 'hy', 'da', 'gv', 'nl', 'pt', 'hi', 'as', 'kw', 'ga', 'sv', 'gu', 'wa', 'lv', 'el', 'it', 'hr', 'ur', 'nn', 'de', 'cs', 'ine'] - src_constituents: {'cat', 'spa', 'pap', 'mwl', 'lij', 'bos_Latn', 'lad_Latn', 'lat_Latn', 'pcd', 'oss', 'ron', 'fry', 'cym', 'awa', 'swg', 'zsm_Latn', 'srd', 'gcf_Latn', 'isl', 'yid', 'bho', 'ltz', 'kur_Latn', 'arg', 'pes_Thaa', 'sqi', 'csb_Latn', 'fra', 'hat', 'non_Latn', 'sco', 'pnb', 'roh', 'bul_Latn', 'pus', 'afr', 'ukr', 'slv', 'lit', 'tmw_Latn', 'hsb', 'tly_Latn', 'bul', 'bel', 'got_Goth', 'lat_Grek', 'ext', 'gla', 'mai', 'sin', 'hif_Latn', 'eng', 'bre', 'nob_Hebr', 'prg_Latn', 'ang_Latn', 'aln', 'mkd', 'ori', 'mar', 'afr_Arab', 'san_Deva', 'gos', 'rus', 'fao', 'orv_Cyrl', 'bel_Latn', 'cos', 'zza', 'grc_Grek', 'oci', 'mfe', 'gom', 'bjn', 'sgs', 'tgk_Cyrl', 'hye_Latn', 'pdc', 'srp_Cyrl', 'pol', 'ast', 'glg', 'pms', 'nob', 'ben', 'min', 'srp_Latn', 'zlm_Latn', 'ind', 'rom', 'hye', 'scn', 'enm_Latn', 'lmo', 'npi', 'pes', 'dan', 'rus_Latn', 'jdt_Cyrl', 'gsw', 'glv', 'nld', 'snd_Arab', 'kur_Arab', 'por', 'hin', 'dsb', 'asm', 'lad', 'frm_Latn', 'ksh', 'pan_Guru', 'cor', 'gle', 'swe', 'guj', 'wln', 'lav', 'ell', 'frr', 'rue', 'ita', 'hrv', 'urd', 'stq', 'nno', 'deu', 'lld_Latn', 'ces', 'egl', 'vec', 'max_Latn', 'pes_Latn', 'ltg', 'nds'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ine-eng/opus2m-2020-08-01.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ine-eng/opus2m-2020-08-01.test.txt - src_alpha3: ine - tgt_alpha3: eng - short_pair: ine-en - chrF2_score: 0.615 - bleu: 45.6 - brevity_penalty: 0.997 - ref_len: 71872.0 - src_name: Indo-European languages - tgt_name: English - train_date: 2020-08-01 - src_alpha2: ine - tgt_alpha2: en - prefer_old: False - long_pair: ine-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ca", "es", "os", "ro", "fy", "cy", "sc", "is", "yi", "lb", "an", "sq", "fr", "ht", "rm", "ps", "af", "uk", "sl", "lt", "bg", "be", "gd", "si", "en", "br", "mk", "or", "mr", "ru", "fo", "co", "oc", "pl", "gl", "nb", "bn", "id", "hy", "da", "gv", "nl", "pt", "hi", "as", "kw", "ga", "sv", "gu", "wa", "lv", "el", "it", "hr", "ur", "nn", "de", "cs", "ine"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ine-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ca", "es", "os", "ro", "fy", "cy", "sc", "is", "yi", "lb", "an", "sq", "fr", "ht", "rm", "ps", "af", "uk", "sl", "lt", "bg", "be", "gd", "si", "en", "br", "mk", "or", "mr", "ru", "fo", "co", "oc", "pl", "gl", "nb", "bn", "id", "hy", "da", "gv", "nl", "pt", "hi", "as", "kw", "ga", "sv", "gu", "wa", "lv", "el", "it", "hr", "ur", "nn", "de", "cs", "ine", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "ca", "es", "os", "ro", "fy", "cy", "sc", "is", "yi", "lb", "an", "sq", "fr", "ht", "rm", "ps", "af", "uk", "sl", "lt", "bg", "be", "gd", "si", "en", "br", "mk", "or", "mr", "ru", "fo", "co", "oc", "pl", "gl", "nb", "bn", "id", "hy", "da", "gv", "nl", "pt", "hi", "as", "kw", "ga", "sv", "gu", "wa", "lv", "el", "it", "hr", "ur", "nn", "de", "cs", "ine" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ca #es #os #ro #fy #cy #sc #is #yi #lb #an #sq #fr #ht #rm #ps #af #uk #sl #lt #bg #be #gd #si #en #br #mk #or #mr #ru #fo #co #oc #pl #gl #nb #bn #id #hy #da #gv #nl #pt #hi #as #kw #ga #sv #gu #wa #lv #el #it #hr #ur #nn #de #cs #ine #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### ine-eng * source group: Indo-European languages * target group: English * OPUS readme: ine-eng * model: transformer * source language(s): afr aln ang\_Latn arg asm ast awa bel bel\_Latn ben bho bos\_Latn bre bul bul\_Latn cat ces cor cos csb\_Latn cym dan deu dsb egl ell enm\_Latn ext fao fra frm\_Latn frr fry gcf\_Latn gla gle glg glv gom gos got\_Goth grc\_Grek gsw guj hat hif\_Latn hin hrv hsb hye ind isl ita jdt\_Cyrl ksh kur\_Arab kur\_Latn lad lad\_Latn lat\_Latn lav lij lit lld\_Latn lmo ltg ltz mai mar max\_Latn mfe min mkd mwl nds nld nno nob nob\_Hebr non\_Latn npi oci ori orv\_Cyrl oss pan\_Guru pap pdc pes pes\_Latn pes\_Thaa pms pnb pol por prg\_Latn pus roh rom ron rue rus san\_Deva scn sco sgs sin slv snd\_Arab spa sqi srp\_Cyrl srp\_Latn stq swe swg tgk\_Cyrl tly\_Latn tmw\_Latn ukr urd vec wln yid zlm\_Latn zsm\_Latn zza * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 11.2, chr-F: 0.375 testset: URL, BLEU: 35.5, chr-F: 0.614 testset: URL, BLEU: 25.1, chr-F: 0.542 testset: URL, BLEU: 16.0, chr-F: 0.420 testset: URL, BLEU: 24.0, chr-F: 0.522 testset: URL, BLEU: 30.1, chr-F: 0.550 testset: URL, BLEU: 33.4, chr-F: 0.572 testset: URL, BLEU: 24.0, chr-F: 0.520 testset: URL, BLEU: 25.7, chr-F: 0.526 testset: URL, BLEU: 27.9, chr-F: 0.550 testset: URL, BLEU: 31.4, chr-F: 0.574 testset: URL, BLEU: 28.3, chr-F: 0.555 testset: URL, BLEU: 24.0, chr-F: 0.515 testset: URL, BLEU: 24.5, chr-F: 0.524 testset: URL, BLEU: 25.5, chr-F: 0.533 testset: URL, BLEU: 23.3, chr-F: 0.516 testset: URL, BLEU: 23.2, chr-F: 0.512 testset: URL, BLEU: 27.3, chr-F: 0.545 testset: URL, BLEU: 30.3, chr-F: 0.567 testset: URL, BLEU: 27.9, chr-F: 0.549 testset: URL, BLEU: 23.8, chr-F: 0.523 testset: URL, BLEU: 26.2, chr-F: 0.545 testset: URL, BLEU: 28.6, chr-F: 0.562 testset: URL, BLEU: 31.4, chr-F: 0.581 testset: URL, BLEU: 24.2, chr-F: 0.521 testset: URL, BLEU: 23.9, chr-F: 0.522 testset: URL, BLEU: 29.5, chr-F: 0.570 testset: URL, BLEU: 30.3, chr-F: 0.570 testset: URL, BLEU: 23.5, chr-F: 0.516 testset: URL, BLEU: 24.9, chr-F: 0.529 testset: URL, BLEU: 30.0, chr-F: 0.568 testset: URL, BLEU: 29.9, chr-F: 0.565 testset: URL, BLEU: 33.3, chr-F: 0.593 testset: URL, BLEU: 25.6, chr-F: 0.531 testset: URL, BLEU: 27.7, chr-F: 0.545 testset: URL, BLEU: 30.0, chr-F: 0.561 testset: URL, BLEU: 24.4, chr-F: 0.514 testset: URL, BLEU: 30.8, chr-F: 0.577 testset: URL, BLEU: 27.7, chr-F: 0.558 testset: URL, BLEU: 27.7, chr-F: 0.545 testset: URL, BLEU: 32.2, chr-F: 0.592 testset: URL, BLEU: 16.7, chr-F: 0.450 testset: URL, BLEU: 27.2, chr-F: 0.552 testset: URL, BLEU: 25.4, chr-F: 0.518 testset: URL, BLEU: 28.8, chr-F: 0.552 testset: URL, BLEU: 25.6, chr-F: 0.527 testset: URL, BLEU: 27.0, chr-F: 0.540 testset: URL, BLEU: 33.5, chr-F: 0.592 testset: URL, BLEU: 32.8, chr-F: 0.591 testset: URL, BLEU: 24.8, chr-F: 0.523 testset: URL, BLEU: 23.7, chr-F: 0.510 testset: URL, BLEU: 29.3, chr-F: 0.556 testset: URL, BLEU: 18.9, chr-F: 0.486 testset: URL, BLEU: 28.0, chr-F: 0.546 testset: URL, BLEU: 24.9, chr-F: 0.521 testset: URL, BLEU: 36.0, chr-F: 0.604 testset: URL, BLEU: 23.8, chr-F: 0.517 testset: URL, BLEU: 31.5, chr-F: 0.570 testset: URL, BLEU: 12.1, chr-F: 0.377 testset: URL, BLEU: 26.6, chr-F: 0.555 testset: URL, BLEU: 27.5, chr-F: 0.541 testset: URL, BLEU: 59.0, chr-F: 0.724 testset: URL, BLEU: 9.9, chr-F: 0.254 testset: URL, BLEU: 41.6, chr-F: 0.487 testset: URL, BLEU: 22.8, chr-F: 0.392 testset: URL, BLEU: 36.1, chr-F: 0.521 testset: URL, BLEU: 11.6, chr-F: 0.280 testset: URL, BLEU: 42.2, chr-F: 0.597 testset: URL, BLEU: 45.8, chr-F: 0.598 testset: URL, BLEU: 34.4, chr-F: 0.518 testset: URL, BLEU: 24.4, chr-F: 0.405 testset: URL, BLEU: 50.8, chr-F: 0.660 testset: URL, BLEU: 51.2, chr-F: 0.677 testset: URL, BLEU: 47.6, chr-F: 0.641 testset: URL, BLEU: 5.4, chr-F: 0.214 testset: URL, BLEU: 61.0, chr-F: 0.675 testset: URL, BLEU: 22.5, chr-F: 0.394 testset: URL, BLEU: 34.7, chr-F: 0.522 testset: URL, BLEU: 56.2, chr-F: 0.708 testset: URL, BLEU: 44.9, chr-F: 0.625 testset: URL, BLEU: 21.0, chr-F: 0.383 testset: URL, BLEU: 6.9, chr-F: 0.221 testset: URL, BLEU: 62.1, chr-F: 0.741 testset: URL, BLEU: 22.6, chr-F: 0.466 testset: URL, BLEU: 33.2, chr-F: 0.496 testset: URL, BLEU: 28.1, chr-F: 0.460 testset: URL, BLEU: 9.6, chr-F: 0.306 testset: URL, BLEU: 50.3, chr-F: 0.661 testset: URL, BLEU: 30.0, chr-F: 0.457 testset: URL, BLEU: 15.2, chr-F: 0.301 testset: URL, BLEU: 34.4, chr-F: 0.525 testset: URL, BLEU: 18.4, chr-F: 0.317 testset: URL, BLEU: 24.1, chr-F: 0.400 testset: URL, BLEU: 52.2, chr-F: 0.671 testset: URL, BLEU: 50.5, chr-F: 0.669 testset: URL, BLEU: 5.7, chr-F: 0.189 testset: URL, BLEU: 19.2, chr-F: 0.378 testset: URL, BLEU: 0.1, chr-F: 0.022 testset: URL, BLEU: 0.9, chr-F: 0.095 testset: URL, BLEU: 23.9, chr-F: 0.390 testset: URL, BLEU: 28.0, chr-F: 0.428 testset: URL, BLEU: 44.2, chr-F: 0.567 testset: URL, BLEU: 51.6, chr-F: 0.666 testset: URL, BLEU: 22.3, chr-F: 0.451 testset: URL, BLEU: 41.7, chr-F: 0.585 testset: URL, BLEU: 46.4, chr-F: 0.590 testset: URL, BLEU: 40.4, chr-F: 0.564 testset: URL, BLEU: 43.8, chr-F: 0.605 testset: URL, BLEU: 60.7, chr-F: 0.735 testset: URL, BLEU: 5.5, chr-F: 0.091 testset: URL, BLEU: 7.8, chr-F: 0.205 testset: URL, BLEU: 15.8, chr-F: 0.284 testset: URL, BLEU: 11.6, chr-F: 0.232 testset: URL, BLEU: 30.7, chr-F: 0.484 testset: URL, BLEU: 11.0, chr-F: 0.286 testset: URL, BLEU: 24.4, chr-F: 0.432 testset: URL, BLEU: 47.2, chr-F: 0.646 testset: URL, BLEU: 9.0, chr-F: 0.287 testset: URL, BLEU: 51.7, chr-F: 0.670 testset: URL, BLEU: 22.4, chr-F: 0.369 testset: URL, BLEU: 26.1, chr-F: 0.381 testset: URL, BLEU: 39.8, chr-F: 0.536 testset: URL, BLEU: 72.3, chr-F: 0.758 testset: URL, BLEU: 32.0, chr-F: 0.554 testset: URL, BLEU: 63.1, chr-F: 0.822 testset: URL, BLEU: 49.5, chr-F: 0.638 testset: URL, BLEU: 38.6, chr-F: 0.566 testset: URL, BLEU: 45.6, chr-F: 0.615 testset: URL, BLEU: 40.4, chr-F: 0.767 testset: URL, BLEU: 35.5, chr-F: 0.538 testset: URL, BLEU: 4.9, chr-F: 0.209 testset: URL, BLEU: 54.2, chr-F: 0.694 testset: URL, BLEU: 39.3, chr-F: 0.573 testset: URL, BLEU: 50.9, chr-F: 0.663 testset: URL, BLEU: 19.6, chr-F: 0.386 testset: URL, BLEU: 16.2, chr-F: 0.364 testset: URL, BLEU: 13.6, chr-F: 0.288 testset: URL, BLEU: 9.4, chr-F: 0.301 testset: URL, BLEU: 17.1, chr-F: 0.389 testset: URL, BLEU: 57.0, chr-F: 0.680 testset: URL, BLEU: 41.6, chr-F: 0.526 testset: URL, BLEU: 13.7, chr-F: 0.333 testset: URL, BLEU: 46.5, chr-F: 0.632 testset: URL, BLEU: 56.4, chr-F: 0.710 testset: URL, BLEU: 2.3, chr-F: 0.193 testset: URL, BLEU: 3.2, chr-F: 0.194 testset: URL, BLEU: 17.5, chr-F: 0.420 testset: URL, BLEU: 5.0, chr-F: 0.237 testset: URL, BLEU: 51.4, chr-F: 0.670 testset: URL, BLEU: 26.0, chr-F: 0.447 testset: URL, BLEU: 47.8, chr-F: 0.634 testset: URL, BLEU: 4.0, chr-F: 0.195 testset: URL, BLEU: 45.1, chr-F: 0.440 testset: URL, BLEU: 41.9, chr-F: 0.582 testset: URL, BLEU: 38.7, chr-F: 0.498 testset: URL, BLEU: 29.7, chr-F: 0.499 testset: URL, BLEU: 38.2, chr-F: 0.564 testset: URL, BLEU: 12.7, chr-F: 0.342 testset: URL, BLEU: 53.2, chr-F: 0.687 testset: URL, BLEU: 51.9, chr-F: 0.679 testset: URL, BLEU: 9.0, chr-F: 0.391 testset: URL, BLEU: 57.4, chr-F: 0.705 testset: URL, BLEU: 18.0, chr-F: 0.338 testset: URL, BLEU: 24.3, chr-F: 0.413 testset: URL, BLEU: 1.1, chr-F: 0.094 testset: URL, BLEU: 48.0, chr-F: 0.639 testset: URL, BLEU: 27.2, chr-F: 0.471 testset: URL, BLEU: 28.0, chr-F: 0.398 testset: URL, BLEU: 17.5, chr-F: 0.320 testset: URL, BLEU: 26.9, chr-F: 0.457 testset: URL, BLEU: 1.7, chr-F: 0.131 ### System Info: * hf\_name: ine-eng * source\_languages: ine * target\_languages: eng * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ca', 'es', 'os', 'ro', 'fy', 'cy', 'sc', 'is', 'yi', 'lb', 'an', 'sq', 'fr', 'ht', 'rm', 'ps', 'af', 'uk', 'sl', 'lt', 'bg', 'be', 'gd', 'si', 'en', 'br', 'mk', 'or', 'mr', 'ru', 'fo', 'co', 'oc', 'pl', 'gl', 'nb', 'bn', 'id', 'hy', 'da', 'gv', 'nl', 'pt', 'hi', 'as', 'kw', 'ga', 'sv', 'gu', 'wa', 'lv', 'el', 'it', 'hr', 'ur', 'nn', 'de', 'cs', 'ine'] * src\_constituents: {'cat', 'spa', 'pap', 'mwl', 'lij', 'bos\_Latn', 'lad\_Latn', 'lat\_Latn', 'pcd', 'oss', 'ron', 'fry', 'cym', 'awa', 'swg', 'zsm\_Latn', 'srd', 'gcf\_Latn', 'isl', 'yid', 'bho', 'ltz', 'kur\_Latn', 'arg', 'pes\_Thaa', 'sqi', 'csb\_Latn', 'fra', 'hat', 'non\_Latn', 'sco', 'pnb', 'roh', 'bul\_Latn', 'pus', 'afr', 'ukr', 'slv', 'lit', 'tmw\_Latn', 'hsb', 'tly\_Latn', 'bul', 'bel', 'got\_Goth', 'lat\_Grek', 'ext', 'gla', 'mai', 'sin', 'hif\_Latn', 'eng', 'bre', 'nob\_Hebr', 'prg\_Latn', 'ang\_Latn', 'aln', 'mkd', 'ori', 'mar', 'afr\_Arab', 'san\_Deva', 'gos', 'rus', 'fao', 'orv\_Cyrl', 'bel\_Latn', 'cos', 'zza', 'grc\_Grek', 'oci', 'mfe', 'gom', 'bjn', 'sgs', 'tgk\_Cyrl', 'hye\_Latn', 'pdc', 'srp\_Cyrl', 'pol', 'ast', 'glg', 'pms', 'nob', 'ben', 'min', 'srp\_Latn', 'zlm\_Latn', 'ind', 'rom', 'hye', 'scn', 'enm\_Latn', 'lmo', 'npi', 'pes', 'dan', 'rus\_Latn', 'jdt\_Cyrl', 'gsw', 'glv', 'nld', 'snd\_Arab', 'kur\_Arab', 'por', 'hin', 'dsb', 'asm', 'lad', 'frm\_Latn', 'ksh', 'pan\_Guru', 'cor', 'gle', 'swe', 'guj', 'wln', 'lav', 'ell', 'frr', 'rue', 'ita', 'hrv', 'urd', 'stq', 'nno', 'deu', 'lld\_Latn', 'ces', 'egl', 'vec', 'max\_Latn', 'pes\_Latn', 'ltg', 'nds'} * tgt\_constituents: {'eng'} * src\_multilingual: True * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: ine * tgt\_alpha3: eng * short\_pair: ine-en * chrF2\_score: 0.615 * bleu: 45.6 * brevity\_penalty: 0.997 * ref\_len: 71872.0 * src\_name: Indo-European languages * tgt\_name: English * train\_date: 2020-08-01 * src\_alpha2: ine * tgt\_alpha2: en * prefer\_old: False * long\_pair: ine-eng * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### ine-eng\n\n\n* source group: Indo-European languages\n* target group: English\n* OPUS readme: ine-eng\n* model: transformer\n* source language(s): afr aln ang\\_Latn arg asm ast awa bel bel\\_Latn ben bho bos\\_Latn bre bul bul\\_Latn cat ces cor cos csb\\_Latn cym dan deu dsb egl ell enm\\_Latn ext fao fra frm\\_Latn frr fry gcf\\_Latn gla gle glg glv gom gos got\\_Goth grc\\_Grek gsw guj hat hif\\_Latn hin hrv hsb hye ind isl ita jdt\\_Cyrl ksh kur\\_Arab kur\\_Latn lad lad\\_Latn lat\\_Latn lav lij lit lld\\_Latn lmo ltg ltz mai mar max\\_Latn mfe min mkd mwl nds nld nno nob nob\\_Hebr non\\_Latn npi oci ori orv\\_Cyrl oss pan\\_Guru pap pdc pes pes\\_Latn pes\\_Thaa pms pnb pol por prg\\_Latn pus roh rom ron rue rus san\\_Deva scn sco sgs sin slv snd\\_Arab spa sqi srp\\_Cyrl srp\\_Latn stq swe swg tgk\\_Cyrl tly\\_Latn tmw\\_Latn ukr urd vec wln yid zlm\\_Latn zsm\\_Latn zza\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 11.2, chr-F: 0.375\ntestset: URL, BLEU: 35.5, chr-F: 0.614\ntestset: URL, BLEU: 25.1, chr-F: 0.542\ntestset: URL, BLEU: 16.0, chr-F: 0.420\ntestset: URL, BLEU: 24.0, chr-F: 0.522\ntestset: URL, BLEU: 30.1, chr-F: 0.550\ntestset: URL, BLEU: 33.4, chr-F: 0.572\ntestset: URL, BLEU: 24.0, chr-F: 0.520\ntestset: URL, BLEU: 25.7, chr-F: 0.526\ntestset: URL, BLEU: 27.9, chr-F: 0.550\ntestset: URL, BLEU: 31.4, chr-F: 0.574\ntestset: URL, BLEU: 28.3, chr-F: 0.555\ntestset: URL, BLEU: 24.0, chr-F: 0.515\ntestset: URL, BLEU: 24.5, chr-F: 0.524\ntestset: URL, BLEU: 25.5, chr-F: 0.533\ntestset: URL, BLEU: 23.3, chr-F: 0.516\ntestset: URL, BLEU: 23.2, chr-F: 0.512\ntestset: URL, BLEU: 27.3, chr-F: 0.545\ntestset: URL, BLEU: 30.3, chr-F: 0.567\ntestset: URL, BLEU: 27.9, chr-F: 0.549\ntestset: URL, BLEU: 23.8, chr-F: 0.523\ntestset: URL, BLEU: 26.2, chr-F: 0.545\ntestset: URL, BLEU: 28.6, chr-F: 0.562\ntestset: URL, BLEU: 31.4, chr-F: 0.581\ntestset: URL, BLEU: 24.2, chr-F: 0.521\ntestset: URL, BLEU: 23.9, chr-F: 0.522\ntestset: URL, BLEU: 29.5, chr-F: 0.570\ntestset: URL, BLEU: 30.3, chr-F: 0.570\ntestset: URL, BLEU: 23.5, chr-F: 0.516\ntestset: URL, BLEU: 24.9, chr-F: 0.529\ntestset: URL, BLEU: 30.0, chr-F: 0.568\ntestset: URL, BLEU: 29.9, chr-F: 0.565\ntestset: URL, BLEU: 33.3, chr-F: 0.593\ntestset: URL, BLEU: 25.6, chr-F: 0.531\ntestset: URL, BLEU: 27.7, chr-F: 0.545\ntestset: URL, BLEU: 30.0, chr-F: 0.561\ntestset: URL, BLEU: 24.4, chr-F: 0.514\ntestset: URL, BLEU: 30.8, chr-F: 0.577\ntestset: URL, BLEU: 27.7, chr-F: 0.558\ntestset: URL, BLEU: 27.7, chr-F: 0.545\ntestset: URL, BLEU: 32.2, chr-F: 0.592\ntestset: URL, BLEU: 16.7, chr-F: 0.450\ntestset: URL, BLEU: 27.2, chr-F: 0.552\ntestset: URL, BLEU: 25.4, chr-F: 0.518\ntestset: URL, BLEU: 28.8, chr-F: 0.552\ntestset: URL, BLEU: 25.6, chr-F: 0.527\ntestset: URL, BLEU: 27.0, chr-F: 0.540\ntestset: URL, BLEU: 33.5, chr-F: 0.592\ntestset: URL, BLEU: 32.8, chr-F: 0.591\ntestset: URL, BLEU: 24.8, chr-F: 0.523\ntestset: URL, BLEU: 23.7, chr-F: 0.510\ntestset: URL, BLEU: 29.3, chr-F: 0.556\ntestset: URL, BLEU: 18.9, chr-F: 0.486\ntestset: URL, BLEU: 28.0, chr-F: 0.546\ntestset: URL, BLEU: 24.9, chr-F: 0.521\ntestset: URL, BLEU: 36.0, chr-F: 0.604\ntestset: URL, BLEU: 23.8, chr-F: 0.517\ntestset: URL, BLEU: 31.5, chr-F: 0.570\ntestset: URL, BLEU: 12.1, chr-F: 0.377\ntestset: URL, BLEU: 26.6, chr-F: 0.555\ntestset: URL, BLEU: 27.5, chr-F: 0.541\ntestset: URL, BLEU: 59.0, chr-F: 0.724\ntestset: URL, BLEU: 9.9, chr-F: 0.254\ntestset: URL, BLEU: 41.6, chr-F: 0.487\ntestset: URL, BLEU: 22.8, chr-F: 0.392\ntestset: URL, BLEU: 36.1, chr-F: 0.521\ntestset: URL, BLEU: 11.6, chr-F: 0.280\ntestset: URL, BLEU: 42.2, chr-F: 0.597\ntestset: URL, BLEU: 45.8, chr-F: 0.598\ntestset: URL, BLEU: 34.4, chr-F: 0.518\ntestset: URL, BLEU: 24.4, chr-F: 0.405\ntestset: URL, BLEU: 50.8, chr-F: 0.660\ntestset: URL, BLEU: 51.2, chr-F: 0.677\ntestset: URL, BLEU: 47.6, chr-F: 0.641\ntestset: URL, BLEU: 5.4, chr-F: 0.214\ntestset: URL, BLEU: 61.0, chr-F: 0.675\ntestset: URL, BLEU: 22.5, chr-F: 0.394\ntestset: URL, BLEU: 34.7, chr-F: 0.522\ntestset: URL, BLEU: 56.2, chr-F: 0.708\ntestset: URL, BLEU: 44.9, chr-F: 0.625\ntestset: URL, BLEU: 21.0, chr-F: 0.383\ntestset: URL, BLEU: 6.9, chr-F: 0.221\ntestset: URL, BLEU: 62.1, chr-F: 0.741\ntestset: URL, BLEU: 22.6, chr-F: 0.466\ntestset: URL, BLEU: 33.2, chr-F: 0.496\ntestset: URL, BLEU: 28.1, chr-F: 0.460\ntestset: URL, BLEU: 9.6, chr-F: 0.306\ntestset: URL, BLEU: 50.3, chr-F: 0.661\ntestset: URL, BLEU: 30.0, chr-F: 0.457\ntestset: URL, BLEU: 15.2, chr-F: 0.301\ntestset: URL, BLEU: 34.4, chr-F: 0.525\ntestset: URL, BLEU: 18.4, chr-F: 0.317\ntestset: URL, BLEU: 24.1, chr-F: 0.400\ntestset: URL, BLEU: 52.2, chr-F: 0.671\ntestset: URL, BLEU: 50.5, chr-F: 0.669\ntestset: URL, BLEU: 5.7, chr-F: 0.189\ntestset: URL, BLEU: 19.2, chr-F: 0.378\ntestset: URL, BLEU: 0.1, chr-F: 0.022\ntestset: URL, BLEU: 0.9, chr-F: 0.095\ntestset: URL, BLEU: 23.9, chr-F: 0.390\ntestset: URL, BLEU: 28.0, chr-F: 0.428\ntestset: URL, BLEU: 44.2, chr-F: 0.567\ntestset: URL, BLEU: 51.6, chr-F: 0.666\ntestset: URL, BLEU: 22.3, chr-F: 0.451\ntestset: URL, BLEU: 41.7, chr-F: 0.585\ntestset: URL, BLEU: 46.4, chr-F: 0.590\ntestset: URL, BLEU: 40.4, chr-F: 0.564\ntestset: URL, BLEU: 43.8, chr-F: 0.605\ntestset: URL, BLEU: 60.7, chr-F: 0.735\ntestset: URL, BLEU: 5.5, chr-F: 0.091\ntestset: URL, BLEU: 7.8, chr-F: 0.205\ntestset: URL, BLEU: 15.8, chr-F: 0.284\ntestset: URL, BLEU: 11.6, chr-F: 0.232\ntestset: URL, BLEU: 30.7, chr-F: 0.484\ntestset: URL, BLEU: 11.0, chr-F: 0.286\ntestset: URL, BLEU: 24.4, chr-F: 0.432\ntestset: URL, BLEU: 47.2, chr-F: 0.646\ntestset: URL, BLEU: 9.0, chr-F: 0.287\ntestset: URL, BLEU: 51.7, chr-F: 0.670\ntestset: URL, BLEU: 22.4, chr-F: 0.369\ntestset: URL, BLEU: 26.1, chr-F: 0.381\ntestset: URL, BLEU: 39.8, chr-F: 0.536\ntestset: URL, BLEU: 72.3, chr-F: 0.758\ntestset: URL, BLEU: 32.0, chr-F: 0.554\ntestset: URL, BLEU: 63.1, chr-F: 0.822\ntestset: URL, BLEU: 49.5, chr-F: 0.638\ntestset: URL, BLEU: 38.6, chr-F: 0.566\ntestset: URL, BLEU: 45.6, chr-F: 0.615\ntestset: URL, BLEU: 40.4, chr-F: 0.767\ntestset: URL, BLEU: 35.5, chr-F: 0.538\ntestset: URL, BLEU: 4.9, chr-F: 0.209\ntestset: URL, BLEU: 54.2, chr-F: 0.694\ntestset: URL, BLEU: 39.3, chr-F: 0.573\ntestset: URL, BLEU: 50.9, chr-F: 0.663\ntestset: URL, BLEU: 19.6, chr-F: 0.386\ntestset: URL, BLEU: 16.2, chr-F: 0.364\ntestset: URL, BLEU: 13.6, chr-F: 0.288\ntestset: URL, BLEU: 9.4, chr-F: 0.301\ntestset: URL, BLEU: 17.1, chr-F: 0.389\ntestset: URL, BLEU: 57.0, chr-F: 0.680\ntestset: URL, BLEU: 41.6, chr-F: 0.526\ntestset: URL, BLEU: 13.7, chr-F: 0.333\ntestset: URL, BLEU: 46.5, chr-F: 0.632\ntestset: URL, BLEU: 56.4, chr-F: 0.710\ntestset: URL, BLEU: 2.3, chr-F: 0.193\ntestset: URL, BLEU: 3.2, chr-F: 0.194\ntestset: URL, BLEU: 17.5, chr-F: 0.420\ntestset: URL, BLEU: 5.0, chr-F: 0.237\ntestset: URL, BLEU: 51.4, chr-F: 0.670\ntestset: URL, BLEU: 26.0, chr-F: 0.447\ntestset: URL, BLEU: 47.8, chr-F: 0.634\ntestset: URL, BLEU: 4.0, chr-F: 0.195\ntestset: URL, BLEU: 45.1, chr-F: 0.440\ntestset: URL, BLEU: 41.9, chr-F: 0.582\ntestset: URL, BLEU: 38.7, chr-F: 0.498\ntestset: URL, BLEU: 29.7, chr-F: 0.499\ntestset: URL, BLEU: 38.2, chr-F: 0.564\ntestset: URL, BLEU: 12.7, chr-F: 0.342\ntestset: URL, BLEU: 53.2, chr-F: 0.687\ntestset: URL, BLEU: 51.9, chr-F: 0.679\ntestset: URL, BLEU: 9.0, chr-F: 0.391\ntestset: URL, BLEU: 57.4, chr-F: 0.705\ntestset: URL, BLEU: 18.0, chr-F: 0.338\ntestset: URL, BLEU: 24.3, chr-F: 0.413\ntestset: URL, BLEU: 1.1, chr-F: 0.094\ntestset: URL, BLEU: 48.0, chr-F: 0.639\ntestset: URL, BLEU: 27.2, chr-F: 0.471\ntestset: URL, BLEU: 28.0, chr-F: 0.398\ntestset: URL, BLEU: 17.5, chr-F: 0.320\ntestset: URL, BLEU: 26.9, chr-F: 0.457\ntestset: URL, BLEU: 1.7, chr-F: 0.131", "### System Info:\n\n\n* hf\\_name: ine-eng\n* source\\_languages: ine\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ca', 'es', 'os', 'ro', 'fy', 'cy', 'sc', 'is', 'yi', 'lb', 'an', 'sq', 'fr', 'ht', 'rm', 'ps', 'af', 'uk', 'sl', 'lt', 'bg', 'be', 'gd', 'si', 'en', 'br', 'mk', 'or', 'mr', 'ru', 'fo', 'co', 'oc', 'pl', 'gl', 'nb', 'bn', 'id', 'hy', 'da', 'gv', 'nl', 'pt', 'hi', 'as', 'kw', 'ga', 'sv', 'gu', 'wa', 'lv', 'el', 'it', 'hr', 'ur', 'nn', 'de', 'cs', 'ine']\n* src\\_constituents: {'cat', 'spa', 'pap', 'mwl', 'lij', 'bos\\_Latn', 'lad\\_Latn', 'lat\\_Latn', 'pcd', 'oss', 'ron', 'fry', 'cym', 'awa', 'swg', 'zsm\\_Latn', 'srd', 'gcf\\_Latn', 'isl', 'yid', 'bho', 'ltz', 'kur\\_Latn', 'arg', 'pes\\_Thaa', 'sqi', 'csb\\_Latn', 'fra', 'hat', 'non\\_Latn', 'sco', 'pnb', 'roh', 'bul\\_Latn', 'pus', 'afr', 'ukr', 'slv', 'lit', 'tmw\\_Latn', 'hsb', 'tly\\_Latn', 'bul', 'bel', 'got\\_Goth', 'lat\\_Grek', 'ext', 'gla', 'mai', 'sin', 'hif\\_Latn', 'eng', 'bre', 'nob\\_Hebr', 'prg\\_Latn', 'ang\\_Latn', 'aln', 'mkd', 'ori', 'mar', 'afr\\_Arab', 'san\\_Deva', 'gos', 'rus', 'fao', 'orv\\_Cyrl', 'bel\\_Latn', 'cos', 'zza', 'grc\\_Grek', 'oci', 'mfe', 'gom', 'bjn', 'sgs', 'tgk\\_Cyrl', 'hye\\_Latn', 'pdc', 'srp\\_Cyrl', 'pol', 'ast', 'glg', 'pms', 'nob', 'ben', 'min', 'srp\\_Latn', 'zlm\\_Latn', 'ind', 'rom', 'hye', 'scn', 'enm\\_Latn', 'lmo', 'npi', 'pes', 'dan', 'rus\\_Latn', 'jdt\\_Cyrl', 'gsw', 'glv', 'nld', 'snd\\_Arab', 'kur\\_Arab', 'por', 'hin', 'dsb', 'asm', 'lad', 'frm\\_Latn', 'ksh', 'pan\\_Guru', 'cor', 'gle', 'swe', 'guj', 'wln', 'lav', 'ell', 'frr', 'rue', 'ita', 'hrv', 'urd', 'stq', 'nno', 'deu', 'lld\\_Latn', 'ces', 'egl', 'vec', 'max\\_Latn', 'pes\\_Latn', 'ltg', 'nds'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ine\n* tgt\\_alpha3: eng\n* short\\_pair: ine-en\n* chrF2\\_score: 0.615\n* bleu: 45.6\n* brevity\\_penalty: 0.997\n* ref\\_len: 71872.0\n* src\\_name: Indo-European languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: ine\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: ine-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ca #es #os #ro #fy #cy #sc #is #yi #lb #an #sq #fr #ht #rm #ps #af #uk #sl #lt #bg #be #gd #si #en #br #mk #or #mr #ru #fo #co #oc #pl #gl #nb #bn #id #hy #da #gv #nl #pt #hi #as #kw #ga #sv #gu #wa #lv #el #it #hr #ur #nn #de #cs #ine #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### ine-eng\n\n\n* source group: Indo-European languages\n* target group: English\n* OPUS readme: ine-eng\n* model: transformer\n* source language(s): afr aln ang\\_Latn arg asm ast awa bel bel\\_Latn ben bho bos\\_Latn bre bul bul\\_Latn cat ces cor cos csb\\_Latn cym dan deu dsb egl ell enm\\_Latn ext fao fra frm\\_Latn frr fry gcf\\_Latn gla gle glg glv gom gos got\\_Goth grc\\_Grek gsw guj hat hif\\_Latn hin hrv hsb hye ind isl ita jdt\\_Cyrl ksh kur\\_Arab kur\\_Latn lad lad\\_Latn lat\\_Latn lav lij lit lld\\_Latn lmo ltg ltz mai mar max\\_Latn mfe min mkd mwl nds nld nno nob nob\\_Hebr non\\_Latn npi oci ori orv\\_Cyrl oss pan\\_Guru pap pdc pes pes\\_Latn pes\\_Thaa pms pnb pol por prg\\_Latn pus roh rom ron rue rus san\\_Deva scn sco sgs sin slv snd\\_Arab spa sqi srp\\_Cyrl srp\\_Latn stq swe swg tgk\\_Cyrl tly\\_Latn tmw\\_Latn ukr urd vec wln yid zlm\\_Latn zsm\\_Latn zza\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 11.2, chr-F: 0.375\ntestset: URL, BLEU: 35.5, chr-F: 0.614\ntestset: URL, BLEU: 25.1, chr-F: 0.542\ntestset: URL, BLEU: 16.0, chr-F: 0.420\ntestset: URL, BLEU: 24.0, chr-F: 0.522\ntestset: URL, BLEU: 30.1, chr-F: 0.550\ntestset: URL, BLEU: 33.4, chr-F: 0.572\ntestset: URL, BLEU: 24.0, chr-F: 0.520\ntestset: URL, BLEU: 25.7, chr-F: 0.526\ntestset: URL, BLEU: 27.9, chr-F: 0.550\ntestset: URL, BLEU: 31.4, chr-F: 0.574\ntestset: URL, BLEU: 28.3, chr-F: 0.555\ntestset: URL, BLEU: 24.0, chr-F: 0.515\ntestset: URL, BLEU: 24.5, chr-F: 0.524\ntestset: URL, BLEU: 25.5, chr-F: 0.533\ntestset: URL, BLEU: 23.3, chr-F: 0.516\ntestset: URL, BLEU: 23.2, chr-F: 0.512\ntestset: URL, BLEU: 27.3, chr-F: 0.545\ntestset: URL, BLEU: 30.3, chr-F: 0.567\ntestset: URL, BLEU: 27.9, chr-F: 0.549\ntestset: URL, BLEU: 23.8, chr-F: 0.523\ntestset: URL, BLEU: 26.2, chr-F: 0.545\ntestset: URL, BLEU: 28.6, chr-F: 0.562\ntestset: URL, BLEU: 31.4, chr-F: 0.581\ntestset: URL, BLEU: 24.2, chr-F: 0.521\ntestset: URL, BLEU: 23.9, chr-F: 0.522\ntestset: URL, BLEU: 29.5, chr-F: 0.570\ntestset: URL, BLEU: 30.3, chr-F: 0.570\ntestset: URL, BLEU: 23.5, chr-F: 0.516\ntestset: URL, BLEU: 24.9, chr-F: 0.529\ntestset: URL, BLEU: 30.0, chr-F: 0.568\ntestset: URL, BLEU: 29.9, chr-F: 0.565\ntestset: URL, BLEU: 33.3, chr-F: 0.593\ntestset: URL, BLEU: 25.6, chr-F: 0.531\ntestset: URL, BLEU: 27.7, chr-F: 0.545\ntestset: URL, BLEU: 30.0, chr-F: 0.561\ntestset: URL, BLEU: 24.4, chr-F: 0.514\ntestset: URL, BLEU: 30.8, chr-F: 0.577\ntestset: URL, BLEU: 27.7, chr-F: 0.558\ntestset: URL, BLEU: 27.7, chr-F: 0.545\ntestset: URL, BLEU: 32.2, chr-F: 0.592\ntestset: URL, BLEU: 16.7, chr-F: 0.450\ntestset: URL, BLEU: 27.2, chr-F: 0.552\ntestset: URL, BLEU: 25.4, chr-F: 0.518\ntestset: URL, BLEU: 28.8, chr-F: 0.552\ntestset: URL, BLEU: 25.6, chr-F: 0.527\ntestset: URL, BLEU: 27.0, chr-F: 0.540\ntestset: URL, BLEU: 33.5, chr-F: 0.592\ntestset: URL, BLEU: 32.8, chr-F: 0.591\ntestset: URL, BLEU: 24.8, chr-F: 0.523\ntestset: URL, BLEU: 23.7, chr-F: 0.510\ntestset: URL, BLEU: 29.3, chr-F: 0.556\ntestset: URL, BLEU: 18.9, chr-F: 0.486\ntestset: URL, BLEU: 28.0, chr-F: 0.546\ntestset: URL, BLEU: 24.9, chr-F: 0.521\ntestset: URL, BLEU: 36.0, chr-F: 0.604\ntestset: URL, BLEU: 23.8, chr-F: 0.517\ntestset: URL, BLEU: 31.5, chr-F: 0.570\ntestset: URL, BLEU: 12.1, chr-F: 0.377\ntestset: URL, BLEU: 26.6, chr-F: 0.555\ntestset: URL, BLEU: 27.5, chr-F: 0.541\ntestset: URL, BLEU: 59.0, chr-F: 0.724\ntestset: URL, BLEU: 9.9, chr-F: 0.254\ntestset: URL, BLEU: 41.6, chr-F: 0.487\ntestset: URL, BLEU: 22.8, chr-F: 0.392\ntestset: URL, BLEU: 36.1, chr-F: 0.521\ntestset: URL, BLEU: 11.6, chr-F: 0.280\ntestset: URL, BLEU: 42.2, chr-F: 0.597\ntestset: URL, BLEU: 45.8, chr-F: 0.598\ntestset: URL, BLEU: 34.4, chr-F: 0.518\ntestset: URL, BLEU: 24.4, chr-F: 0.405\ntestset: URL, BLEU: 50.8, chr-F: 0.660\ntestset: URL, BLEU: 51.2, chr-F: 0.677\ntestset: URL, BLEU: 47.6, chr-F: 0.641\ntestset: URL, BLEU: 5.4, chr-F: 0.214\ntestset: URL, BLEU: 61.0, chr-F: 0.675\ntestset: URL, BLEU: 22.5, chr-F: 0.394\ntestset: URL, BLEU: 34.7, chr-F: 0.522\ntestset: URL, BLEU: 56.2, chr-F: 0.708\ntestset: URL, BLEU: 44.9, chr-F: 0.625\ntestset: URL, BLEU: 21.0, chr-F: 0.383\ntestset: URL, BLEU: 6.9, chr-F: 0.221\ntestset: URL, BLEU: 62.1, chr-F: 0.741\ntestset: URL, BLEU: 22.6, chr-F: 0.466\ntestset: URL, BLEU: 33.2, chr-F: 0.496\ntestset: URL, BLEU: 28.1, chr-F: 0.460\ntestset: URL, BLEU: 9.6, chr-F: 0.306\ntestset: URL, BLEU: 50.3, chr-F: 0.661\ntestset: URL, BLEU: 30.0, chr-F: 0.457\ntestset: URL, BLEU: 15.2, chr-F: 0.301\ntestset: URL, BLEU: 34.4, chr-F: 0.525\ntestset: URL, BLEU: 18.4, chr-F: 0.317\ntestset: URL, BLEU: 24.1, chr-F: 0.400\ntestset: URL, BLEU: 52.2, chr-F: 0.671\ntestset: URL, BLEU: 50.5, chr-F: 0.669\ntestset: URL, BLEU: 5.7, chr-F: 0.189\ntestset: URL, BLEU: 19.2, chr-F: 0.378\ntestset: URL, BLEU: 0.1, chr-F: 0.022\ntestset: URL, BLEU: 0.9, chr-F: 0.095\ntestset: URL, BLEU: 23.9, chr-F: 0.390\ntestset: URL, BLEU: 28.0, chr-F: 0.428\ntestset: URL, BLEU: 44.2, chr-F: 0.567\ntestset: URL, BLEU: 51.6, chr-F: 0.666\ntestset: URL, BLEU: 22.3, chr-F: 0.451\ntestset: URL, BLEU: 41.7, chr-F: 0.585\ntestset: URL, BLEU: 46.4, chr-F: 0.590\ntestset: URL, BLEU: 40.4, chr-F: 0.564\ntestset: URL, BLEU: 43.8, chr-F: 0.605\ntestset: URL, BLEU: 60.7, chr-F: 0.735\ntestset: URL, BLEU: 5.5, chr-F: 0.091\ntestset: URL, BLEU: 7.8, chr-F: 0.205\ntestset: URL, BLEU: 15.8, chr-F: 0.284\ntestset: URL, BLEU: 11.6, chr-F: 0.232\ntestset: URL, BLEU: 30.7, chr-F: 0.484\ntestset: URL, BLEU: 11.0, chr-F: 0.286\ntestset: URL, BLEU: 24.4, chr-F: 0.432\ntestset: URL, BLEU: 47.2, chr-F: 0.646\ntestset: URL, BLEU: 9.0, chr-F: 0.287\ntestset: URL, BLEU: 51.7, chr-F: 0.670\ntestset: URL, BLEU: 22.4, chr-F: 0.369\ntestset: URL, BLEU: 26.1, chr-F: 0.381\ntestset: URL, BLEU: 39.8, chr-F: 0.536\ntestset: URL, BLEU: 72.3, chr-F: 0.758\ntestset: URL, BLEU: 32.0, chr-F: 0.554\ntestset: URL, BLEU: 63.1, chr-F: 0.822\ntestset: URL, BLEU: 49.5, chr-F: 0.638\ntestset: URL, BLEU: 38.6, chr-F: 0.566\ntestset: URL, BLEU: 45.6, chr-F: 0.615\ntestset: URL, BLEU: 40.4, chr-F: 0.767\ntestset: URL, BLEU: 35.5, chr-F: 0.538\ntestset: URL, BLEU: 4.9, chr-F: 0.209\ntestset: URL, BLEU: 54.2, chr-F: 0.694\ntestset: URL, BLEU: 39.3, chr-F: 0.573\ntestset: URL, BLEU: 50.9, chr-F: 0.663\ntestset: URL, BLEU: 19.6, chr-F: 0.386\ntestset: URL, BLEU: 16.2, chr-F: 0.364\ntestset: URL, BLEU: 13.6, chr-F: 0.288\ntestset: URL, BLEU: 9.4, chr-F: 0.301\ntestset: URL, BLEU: 17.1, chr-F: 0.389\ntestset: URL, BLEU: 57.0, chr-F: 0.680\ntestset: URL, BLEU: 41.6, chr-F: 0.526\ntestset: URL, BLEU: 13.7, chr-F: 0.333\ntestset: URL, BLEU: 46.5, chr-F: 0.632\ntestset: URL, BLEU: 56.4, chr-F: 0.710\ntestset: URL, BLEU: 2.3, chr-F: 0.193\ntestset: URL, BLEU: 3.2, chr-F: 0.194\ntestset: URL, BLEU: 17.5, chr-F: 0.420\ntestset: URL, BLEU: 5.0, chr-F: 0.237\ntestset: URL, BLEU: 51.4, chr-F: 0.670\ntestset: URL, BLEU: 26.0, chr-F: 0.447\ntestset: URL, BLEU: 47.8, chr-F: 0.634\ntestset: URL, BLEU: 4.0, chr-F: 0.195\ntestset: URL, BLEU: 45.1, chr-F: 0.440\ntestset: URL, BLEU: 41.9, chr-F: 0.582\ntestset: URL, BLEU: 38.7, chr-F: 0.498\ntestset: URL, BLEU: 29.7, chr-F: 0.499\ntestset: URL, BLEU: 38.2, chr-F: 0.564\ntestset: URL, BLEU: 12.7, chr-F: 0.342\ntestset: URL, BLEU: 53.2, chr-F: 0.687\ntestset: URL, BLEU: 51.9, chr-F: 0.679\ntestset: URL, BLEU: 9.0, chr-F: 0.391\ntestset: URL, BLEU: 57.4, chr-F: 0.705\ntestset: URL, BLEU: 18.0, chr-F: 0.338\ntestset: URL, BLEU: 24.3, chr-F: 0.413\ntestset: URL, BLEU: 1.1, chr-F: 0.094\ntestset: URL, BLEU: 48.0, chr-F: 0.639\ntestset: URL, BLEU: 27.2, chr-F: 0.471\ntestset: URL, BLEU: 28.0, chr-F: 0.398\ntestset: URL, BLEU: 17.5, chr-F: 0.320\ntestset: URL, BLEU: 26.9, chr-F: 0.457\ntestset: URL, BLEU: 1.7, chr-F: 0.131", "### System Info:\n\n\n* hf\\_name: ine-eng\n* source\\_languages: ine\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ca', 'es', 'os', 'ro', 'fy', 'cy', 'sc', 'is', 'yi', 'lb', 'an', 'sq', 'fr', 'ht', 'rm', 'ps', 'af', 'uk', 'sl', 'lt', 'bg', 'be', 'gd', 'si', 'en', 'br', 'mk', 'or', 'mr', 'ru', 'fo', 'co', 'oc', 'pl', 'gl', 'nb', 'bn', 'id', 'hy', 'da', 'gv', 'nl', 'pt', 'hi', 'as', 'kw', 'ga', 'sv', 'gu', 'wa', 'lv', 'el', 'it', 'hr', 'ur', 'nn', 'de', 'cs', 'ine']\n* src\\_constituents: {'cat', 'spa', 'pap', 'mwl', 'lij', 'bos\\_Latn', 'lad\\_Latn', 'lat\\_Latn', 'pcd', 'oss', 'ron', 'fry', 'cym', 'awa', 'swg', 'zsm\\_Latn', 'srd', 'gcf\\_Latn', 'isl', 'yid', 'bho', 'ltz', 'kur\\_Latn', 'arg', 'pes\\_Thaa', 'sqi', 'csb\\_Latn', 'fra', 'hat', 'non\\_Latn', 'sco', 'pnb', 'roh', 'bul\\_Latn', 'pus', 'afr', 'ukr', 'slv', 'lit', 'tmw\\_Latn', 'hsb', 'tly\\_Latn', 'bul', 'bel', 'got\\_Goth', 'lat\\_Grek', 'ext', 'gla', 'mai', 'sin', 'hif\\_Latn', 'eng', 'bre', 'nob\\_Hebr', 'prg\\_Latn', 'ang\\_Latn', 'aln', 'mkd', 'ori', 'mar', 'afr\\_Arab', 'san\\_Deva', 'gos', 'rus', 'fao', 'orv\\_Cyrl', 'bel\\_Latn', 'cos', 'zza', 'grc\\_Grek', 'oci', 'mfe', 'gom', 'bjn', 'sgs', 'tgk\\_Cyrl', 'hye\\_Latn', 'pdc', 'srp\\_Cyrl', 'pol', 'ast', 'glg', 'pms', 'nob', 'ben', 'min', 'srp\\_Latn', 'zlm\\_Latn', 'ind', 'rom', 'hye', 'scn', 'enm\\_Latn', 'lmo', 'npi', 'pes', 'dan', 'rus\\_Latn', 'jdt\\_Cyrl', 'gsw', 'glv', 'nld', 'snd\\_Arab', 'kur\\_Arab', 'por', 'hin', 'dsb', 'asm', 'lad', 'frm\\_Latn', 'ksh', 'pan\\_Guru', 'cor', 'gle', 'swe', 'guj', 'wln', 'lav', 'ell', 'frr', 'rue', 'ita', 'hrv', 'urd', 'stq', 'nno', 'deu', 'lld\\_Latn', 'ces', 'egl', 'vec', 'max\\_Latn', 'pes\\_Latn', 'ltg', 'nds'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ine\n* tgt\\_alpha3: eng\n* short\\_pair: ine-en\n* chrF2\\_score: 0.615\n* bleu: 45.6\n* brevity\\_penalty: 0.997\n* ref\\_len: 71872.0\n* src\\_name: Indo-European languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: ine\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: ine-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 178, 4368, 1459 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ca #es #os #ro #fy #cy #sc #is #yi #lb #an #sq #fr #ht #rm #ps #af #uk #sl #lt #bg #be #gd #si #en #br #mk #or #mr #ru #fo #co #oc #pl #gl #nb #bn #id #hy #da #gv #nl #pt #hi #as #kw #ga #sv #gu #wa #lv #el #it #hr #ur #nn #de #cs #ine #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### ine-eng\n\n\n* source group: Indo-European languages\n* target group: English\n* OPUS readme: ine-eng\n* model: transformer\n* source language(s): afr aln ang\\_Latn arg asm ast awa bel bel\\_Latn ben bho bos\\_Latn bre bul bul\\_Latn cat ces cor cos csb\\_Latn cym dan deu dsb egl ell enm\\_Latn ext fao fra frm\\_Latn frr fry gcf\\_Latn gla gle glg glv gom gos got\\_Goth grc\\_Grek gsw guj hat hif\\_Latn hin hrv hsb hye ind isl ita jdt\\_Cyrl ksh kur\\_Arab kur\\_Latn lad lad\\_Latn lat\\_Latn lav lij lit lld\\_Latn lmo ltg ltz mai mar max\\_Latn mfe min mkd mwl nds nld nno nob nob\\_Hebr non\\_Latn npi oci ori orv\\_Cyrl oss pan\\_Guru pap pdc pes pes\\_Latn pes\\_Thaa pms pnb pol por prg\\_Latn pus roh rom ron rue rus san\\_Deva scn sco sgs sin slv snd\\_Arab spa sqi srp\\_Cyrl srp\\_Latn stq swe swg tgk\\_Cyrl tly\\_Latn tmw\\_Latn ukr urd vec wln yid zlm\\_Latn zsm\\_Latn zza\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 11.2, chr-F: 0.375\ntestset: URL, BLEU: 35.5, chr-F: 0.614\ntestset: URL, BLEU: 25.1, chr-F: 0.542\ntestset: URL, BLEU: 16.0, chr-F: 0.420\ntestset: URL, BLEU: 24.0, chr-F: 0.522\ntestset: URL, BLEU: 30.1, chr-F: 0.550\ntestset: URL, BLEU: 33.4, chr-F: 0.572\ntestset: URL, BLEU: 24.0, chr-F: 0.520\ntestset: URL, BLEU: 25.7, chr-F: 0.526\ntestset: URL, BLEU: 27.9, chr-F: 0.550\ntestset: URL, BLEU: 31.4, chr-F: 0.574\ntestset: URL, BLEU: 28.3, chr-F: 0.555\ntestset: URL, BLEU: 24.0, chr-F: 0.515\ntestset: URL, BLEU: 24.5, chr-F: 0.524\ntestset: URL, BLEU: 25.5, chr-F: 0.533\ntestset: URL, BLEU: 23.3, chr-F: 0.516\ntestset: URL, BLEU: 23.2, chr-F: 0.512\ntestset: URL, BLEU: 27.3, chr-F: 0.545\ntestset: URL, BLEU: 30.3, chr-F: 0.567\ntestset: URL, BLEU: 27.9, chr-F: 0.549\ntestset: URL, BLEU: 23.8, chr-F: 0.523\ntestset: URL, BLEU: 26.2, chr-F: 0.545\ntestset: URL, BLEU: 28.6, chr-F: 0.562\ntestset: URL, BLEU: 31.4, chr-F: 0.581\ntestset: URL, BLEU: 24.2, chr-F: 0.521\ntestset: URL, BLEU: 23.9, chr-F: 0.522\ntestset: URL, BLEU: 29.5, chr-F: 0.570\ntestset: URL, BLEU: 30.3, chr-F: 0.570\ntestset: URL, BLEU: 23.5, chr-F: 0.516\ntestset: URL, BLEU: 24.9, chr-F: 0.529\ntestset: URL, BLEU: 30.0, chr-F: 0.568\ntestset: URL, BLEU: 29.9, chr-F: 0.565\ntestset: URL, BLEU: 33.3, chr-F: 0.593\ntestset: URL, BLEU: 25.6, chr-F: 0.531\ntestset: URL, BLEU: 27.7, chr-F: 0.545\ntestset: URL, BLEU: 30.0, chr-F: 0.561\ntestset: URL, BLEU: 24.4, chr-F: 0.514\ntestset: URL, BLEU: 30.8, chr-F: 0.577\ntestset: URL, BLEU: 27.7, chr-F: 0.558\ntestset: URL, BLEU: 27.7, chr-F: 0.545\ntestset: URL, BLEU: 32.2, chr-F: 0.592\ntestset: URL, BLEU: 16.7, chr-F: 0.450\ntestset: URL, BLEU: 27.2, chr-F: 0.552\ntestset: URL, BLEU: 25.4, chr-F: 0.518\ntestset: URL, BLEU: 28.8, chr-F: 0.552\ntestset: URL, BLEU: 25.6, chr-F: 0.527\ntestset: URL, BLEU: 27.0, chr-F: 0.540\ntestset: URL, BLEU: 33.5, chr-F: 0.592\ntestset: URL, BLEU: 32.8, chr-F: 0.591\ntestset: URL, BLEU: 24.8, chr-F: 0.523\ntestset: URL, BLEU: 23.7, chr-F: 0.510\ntestset: URL, BLEU: 29.3, chr-F: 0.556\ntestset: URL, BLEU: 18.9, chr-F: 0.486\ntestset: URL, BLEU: 28.0, chr-F: 0.546\ntestset: URL, BLEU: 24.9, chr-F: 0.521\ntestset: URL, BLEU: 36.0, chr-F: 0.604\ntestset: URL, BLEU: 23.8, chr-F: 0.517\ntestset: URL, BLEU: 31.5, chr-F: 0.570\ntestset: URL, BLEU: 12.1, chr-F: 0.377\ntestset: URL, BLEU: 26.6, chr-F: 0.555\ntestset: URL, BLEU: 27.5, chr-F: 0.541\ntestset: URL, BLEU: 59.0, chr-F: 0.724\ntestset: URL, BLEU: 9.9, chr-F: 0.254\ntestset: URL, BLEU: 41.6, chr-F: 0.487\ntestset: URL, BLEU: 22.8, chr-F: 0.392\ntestset: URL, BLEU: 36.1, chr-F: 0.521\ntestset: URL, BLEU: 11.6, chr-F: 0.280\ntestset: URL, BLEU: 42.2, chr-F: 0.597\ntestset: URL, BLEU: 45.8, chr-F: 0.598\ntestset: URL, BLEU: 34.4, chr-F: 0.518\ntestset: URL, BLEU: 24.4, chr-F: 0.405\ntestset: URL, BLEU: 50.8, chr-F: 0.660\ntestset: URL, BLEU: 51.2, chr-F: 0.677\ntestset: URL, BLEU: 47.6, chr-F: 0.641\ntestset: URL, BLEU: 5.4, chr-F: 0.214\ntestset: URL, BLEU: 61.0, chr-F: 0.675\ntestset: URL, BLEU: 22.5, chr-F: 0.394\ntestset: URL, BLEU: 34.7, chr-F: 0.522\ntestset: URL, BLEU: 56.2, chr-F: 0.708\ntestset: URL, BLEU: 44.9, chr-F: 0.625\ntestset: URL, BLEU: 21.0, chr-F: 0.383\ntestset: URL, BLEU: 6.9, chr-F: 0.221\ntestset: URL, BLEU: 62.1, chr-F: 0.741\ntestset: URL, BLEU: 22.6, chr-F: 0.466\ntestset: URL, BLEU: 33.2, chr-F: 0.496\ntestset: URL, BLEU: 28.1, chr-F: 0.460\ntestset: URL, BLEU: 9.6, chr-F: 0.306\ntestset: URL, BLEU: 50.3, chr-F: 0.661\ntestset: URL, BLEU: 30.0, chr-F: 0.457\ntestset: URL, BLEU: 15.2, chr-F: 0.301\ntestset: URL, BLEU: 34.4, chr-F: 0.525\ntestset: URL, BLEU: 18.4, chr-F: 0.317\ntestset: URL, BLEU: 24.1, chr-F: 0.400\ntestset: URL, BLEU: 52.2, chr-F: 0.671\ntestset: URL, BLEU: 50.5, chr-F: 0.669\ntestset: URL, BLEU: 5.7, chr-F: 0.189\ntestset: URL, BLEU: 19.2, chr-F: 0.378\ntestset: URL, BLEU: 0.1, chr-F: 0.022\ntestset: URL, BLEU: 0.9, chr-F: 0.095\ntestset: URL, BLEU: 23.9, chr-F: 0.390\ntestset: URL, BLEU: 28.0, chr-F: 0.428\ntestset: URL, BLEU: 44.2, chr-F: 0.567\ntestset: URL, BLEU: 51.6, chr-F: 0.666\ntestset: URL, BLEU: 22.3, chr-F: 0.451\ntestset: URL, BLEU: 41.7, chr-F: 0.585\ntestset: URL, BLEU: 46.4, chr-F: 0.590\ntestset: URL, BLEU: 40.4, chr-F: 0.564\ntestset: URL, BLEU: 43.8, chr-F: 0.605\ntestset: URL, BLEU: 60.7, chr-F: 0.735\ntestset: URL, BLEU: 5.5, chr-F: 0.091\ntestset: URL, BLEU: 7.8, chr-F: 0.205\ntestset: URL, BLEU: 15.8, chr-F: 0.284\ntestset: URL, BLEU: 11.6, chr-F: 0.232\ntestset: URL, BLEU: 30.7, chr-F: 0.484\ntestset: URL, BLEU: 11.0, chr-F: 0.286\ntestset: URL, BLEU: 24.4, chr-F: 0.432\ntestset: URL, BLEU: 47.2, chr-F: 0.646\ntestset: URL, BLEU: 9.0, chr-F: 0.287\ntestset: URL, BLEU: 51.7, chr-F: 0.670\ntestset: URL, BLEU: 22.4, chr-F: 0.369\ntestset: URL, BLEU: 26.1, chr-F: 0.381\ntestset: URL, BLEU: 39.8, chr-F: 0.536\ntestset: URL, BLEU: 72.3, chr-F: 0.758\ntestset: URL, BLEU: 32.0, chr-F: 0.554\ntestset: URL, BLEU: 63.1, chr-F: 0.822\ntestset: URL, BLEU: 49.5, chr-F: 0.638\ntestset: URL, BLEU: 38.6, chr-F: 0.566\ntestset: URL, BLEU: 45.6, chr-F: 0.615\ntestset: URL, BLEU: 40.4, chr-F: 0.767\ntestset: URL, BLEU: 35.5, chr-F: 0.538\ntestset: URL, BLEU: 4.9, chr-F: 0.209\ntestset: URL, BLEU: 54.2, chr-F: 0.694\ntestset: URL, BLEU: 39.3, chr-F: 0.573\ntestset: URL, BLEU: 50.9, chr-F: 0.663\ntestset: URL, BLEU: 19.6, chr-F: 0.386\ntestset: URL, BLEU: 16.2, chr-F: 0.364\ntestset: URL, BLEU: 13.6, chr-F: 0.288\ntestset: URL, BLEU: 9.4, chr-F: 0.301\ntestset: URL, BLEU: 17.1, chr-F: 0.389\ntestset: URL, BLEU: 57.0, chr-F: 0.680\ntestset: URL, BLEU: 41.6, chr-F: 0.526\ntestset: URL, BLEU: 13.7, chr-F: 0.333\ntestset: URL, BLEU: 46.5, chr-F: 0.632\ntestset: URL, BLEU: 56.4, chr-F: 0.710\ntestset: URL, BLEU: 2.3, chr-F: 0.193\ntestset: URL, BLEU: 3.2, chr-F: 0.194\ntestset: URL, BLEU: 17.5, chr-F: 0.420\ntestset: URL, BLEU: 5.0, chr-F: 0.237\ntestset: URL, BLEU: 51.4, chr-F: 0.670\ntestset: URL, BLEU: 26.0, chr-F: 0.447\ntestset: URL, BLEU: 47.8, chr-F: 0.634\ntestset: URL, BLEU: 4.0, chr-F: 0.195\ntestset: URL, BLEU: 45.1, chr-F: 0.440\ntestset: URL, BLEU: 41.9, chr-F: 0.582\ntestset: URL, BLEU: 38.7, chr-F: 0.498\ntestset: URL, BLEU: 29.7, chr-F: 0.499\ntestset: URL, BLEU: 38.2, chr-F: 0.564\ntestset: URL, BLEU: 12.7, chr-F: 0.342\ntestset: URL, BLEU: 53.2, chr-F: 0.687\ntestset: URL, BLEU: 51.9, chr-F: 0.679\ntestset: URL, BLEU: 9.0, chr-F: 0.391\ntestset: URL, BLEU: 57.4, chr-F: 0.705\ntestset: URL, BLEU: 18.0, chr-F: 0.338\ntestset: URL, BLEU: 24.3, chr-F: 0.413\ntestset: URL, BLEU: 1.1, chr-F: 0.094\ntestset: URL, BLEU: 48.0, chr-F: 0.639\ntestset: URL, BLEU: 27.2, chr-F: 0.471\ntestset: URL, BLEU: 28.0, chr-F: 0.398\ntestset: URL, BLEU: 17.5, chr-F: 0.320\ntestset: URL, BLEU: 26.9, chr-F: 0.457\ntestset: URL, BLEU: 1.7, chr-F: 0.131### System Info:\n\n\n* hf\\_name: ine-eng\n* source\\_languages: ine\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ca', 'es', 'os', 'ro', 'fy', 'cy', 'sc', 'is', 'yi', 'lb', 'an', 'sq', 'fr', 'ht', 'rm', 'ps', 'af', 'uk', 'sl', 'lt', 'bg', 'be', 'gd', 'si', 'en', 'br', 'mk', 'or', 'mr', 'ru', 'fo', 'co', 'oc', 'pl', 'gl', 'nb', 'bn', 'id', 'hy', 'da', 'gv', 'nl', 'pt', 'hi', 'as', 'kw', 'ga', 'sv', 'gu', 'wa', 'lv', 'el', 'it', 'hr', 'ur', 'nn', 'de', 'cs', 'ine']\n* src\\_constituents: {'cat', 'spa', 'pap', 'mwl', 'lij', 'bos\\_Latn', 'lad\\_Latn', 'lat\\_Latn', 'pcd', 'oss', 'ron', 'fry', 'cym', 'awa', 'swg', 'zsm\\_Latn', 'srd', 'gcf\\_Latn', 'isl', 'yid', 'bho', 'ltz', 'kur\\_Latn', 'arg', 'pes\\_Thaa', 'sqi', 'csb\\_Latn', 'fra', 'hat', 'non\\_Latn', 'sco', 'pnb', 'roh', 'bul\\_Latn', 'pus', 'afr', 'ukr', 'slv', 'lit', 'tmw\\_Latn', 'hsb', 'tly\\_Latn', 'bul', 'bel', 'got\\_Goth', 'lat\\_Grek', 'ext', 'gla', 'mai', 'sin', 'hif\\_Latn', 'eng', 'bre', 'nob\\_Hebr', 'prg\\_Latn', 'ang\\_Latn', 'aln', 'mkd', 'ori', 'mar', 'afr\\_Arab', 'san\\_Deva', 'gos', 'rus', 'fao', 'orv\\_Cyrl', 'bel\\_Latn', 'cos', 'zza', 'grc\\_Grek', 'oci', 'mfe', 'gom', 'bjn', 'sgs', 'tgk\\_Cyrl', 'hye\\_Latn', 'pdc', 'srp\\_Cyrl', 'pol', 'ast', 'glg', 'pms', 'nob', 'ben', 'min', 'srp\\_Latn', 'zlm\\_Latn', 'ind', 'rom', 'hye', 'scn', 'enm\\_Latn', 'lmo', 'npi', 'pes', 'dan', 'rus\\_Latn', 'jdt\\_Cyrl', 'gsw', 'glv', 'nld', 'snd\\_Arab', 'kur\\_Arab', 'por', 'hin', 'dsb', 'asm', 'lad', 'frm\\_Latn', 'ksh', 'pan\\_Guru', 'cor', 'gle', 'swe', 'guj', 'wln', 'lav', 'ell', 'frr', 'rue', 'ita', 'hrv', 'urd', 'stq', 'nno', 'deu', 'lld\\_Latn', 'ces', 'egl', 'vec', 'max\\_Latn', 'pes\\_Latn', 'ltg', 'nds'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ine\n* tgt\\_alpha3: eng\n* short\\_pair: ine-en\n* chrF2\\_score: 0.615\n* bleu: 45.6\n* brevity\\_penalty: 0.997\n* ref\\_len: 71872.0\n* src\\_name: Indo-European languages\n* tgt\\_name: English\n* train\\_date: 2020-08-01\n* src\\_alpha2: ine\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: ine-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### ine-ine * source group: Indo-European languages * target group: Indo-European languages * OPUS readme: [ine-ine](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ine-ine/README.md) * model: transformer * source language(s): afr afr_Arab aln ang_Latn arg asm ast awa bel bel_Latn ben bho bjn bos_Latn bre bul bul_Latn cat ces cor cos csb_Latn cym dan deu dsb egl ell eng enm_Latn ext fao fra frm_Latn frr fry gcf_Latn gla gle glg glv gom gos got_Goth grc_Grek gsw guj hat hif_Latn hin hrv hsb hye hye_Latn ind isl ita jdt_Cyrl ksh kur_Arab kur_Latn lad lad_Latn lat_Grek lat_Latn lav lij lit lld_Latn lmo ltg ltz mai mar max_Latn mfe min mkd mwl nds nld nno nob nob_Hebr non_Latn npi oci ori orv_Cyrl oss pan_Guru pap pcd pdc pes pes_Latn pes_Thaa pms pnb pol por prg_Latn pus roh rom ron rue rus rus_Latn san_Deva scn sco sgs sin slv snd_Arab spa sqi srd srp_Cyrl srp_Latn stq swe swg tgk_Cyrl tly_Latn tmw_Latn ukr urd vec wln yid zlm_Latn zsm_Latn zza * target language(s): afr afr_Arab aln ang_Latn arg asm ast awa bel bel_Latn ben bho bjn bos_Latn bre bul bul_Latn cat ces cor cos csb_Latn cym dan deu dsb egl ell eng enm_Latn ext fao fra frm_Latn frr fry gcf_Latn gla gle glg glv gom gos got_Goth grc_Grek gsw guj hat hif_Latn hin hrv hsb hye hye_Latn ind isl ita jdt_Cyrl ksh kur_Arab kur_Latn lad lad_Latn lat_Grek lat_Latn lav lij lit lld_Latn lmo ltg ltz mai mar max_Latn mfe min mkd mwl nds nld nno nob nob_Hebr non_Latn npi oci ori orv_Cyrl oss pan_Guru pap pcd pdc pes pes_Latn pes_Thaa pms pnb pol por prg_Latn pus roh rom ron rue rus rus_Latn san_Deva scn sco sgs sin slv snd_Arab spa sqi srd srp_Cyrl srp_Latn stq swe swg tgk_Cyrl tly_Latn tmw_Latn ukr urd vec wln yid zlm_Latn zsm_Latn zza * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID) * download original weights: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ine-ine/opus-2020-07-27.zip) * test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ine-ine/opus-2020-07-27.test.txt) * test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ine-ine/opus-2020-07-27.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| euelections_dev2019.de-fr-deufra.deu.fra \| 19.2 \| 0.482 \| \| euelections_dev2019.fr-de-fradeu.fra.deu \| 15.8 \| 0.470 \| \| newsdev2014-enghin.eng.hin \| 4.0 \| 0.245 \| \| newsdev2014-hineng.hin.eng \| 6.8 \| 0.301 \| \| newsdev2016-enro-engron.eng.ron \| 17.3 \| 0.470 \| \| newsdev2016-enro-roneng.ron.eng \| 26.0 \| 0.534 \| \| newsdev2017-enlv-englav.eng.lav \| 12.1 \| 0.416 \| \| newsdev2017-enlv-laveng.lav.eng \| 15.9 \| 0.443 \| \| newsdev2019-engu-engguj.eng.guj \| 2.5 \| 0.200 \| \| newsdev2019-engu-gujeng.guj.eng \| 7.1 \| 0.302 \| \| newsdev2019-enlt-englit.eng.lit \| 10.6 \| 0.407 \| \| newsdev2019-enlt-liteng.lit.eng \| 14.9 \| 0.428 \| \| newsdiscussdev2015-enfr-engfra.eng.fra \| 22.6 \| 0.507 \| \| newsdiscussdev2015-enfr-fraeng.fra.eng \| 23.5 \| 0.495 \| \| newsdiscusstest2015-enfr-engfra.eng.fra \| 25.1 \| 0.528 \| \| newsdiscusstest2015-enfr-fraeng.fra.eng \| 26.4 \| 0.517 \| \| newssyscomb2009-cesdeu.ces.deu \| 13.1 \| 0.432 \| \| newssyscomb2009-ceseng.ces.eng \| 18.4 \| 0.463 \| \| newssyscomb2009-cesfra.ces.fra \| 15.5 \| 0.452 \| \| newssyscomb2009-cesita.ces.ita \| 14.8 \| 0.458 \| \| newssyscomb2009-cesspa.ces.spa \| 18.4 \| 0.462 \| \| newssyscomb2009-deuces.deu.ces \| 10.5 \| 0.381 \| \| newssyscomb2009-deueng.deu.eng \| 19.5 \| 0.467 \| \| newssyscomb2009-deufra.deu.fra \| 16.4 \| 0.459 \| \| newssyscomb2009-deuita.deu.ita \| 15.5 \| 0.456 \| \| newssyscomb2009-deuspa.deu.spa \| 18.4 \| 0.466 \| \| newssyscomb2009-engces.eng.ces \| 11.9 \| 0.394 \| \| newssyscomb2009-engdeu.eng.deu \| 13.9 \| 0.446 \| \| newssyscomb2009-engfra.eng.fra \| 20.7 \| 0.502 \| \| newssyscomb2009-engita.eng.ita \| 21.3 \| 0.516 \| \| newssyscomb2009-engspa.eng.spa \| 22.3 \| 0.506 \| \| newssyscomb2009-fraces.fra.ces \| 11.5 \| 0.390 \| \| newssyscomb2009-fradeu.fra.deu \| 13.4 \| 0.437 \| \| newssyscomb2009-fraeng.fra.eng \| 22.8 \| 0.499 \| \| newssyscomb2009-fraita.fra.ita \| 22.2 \| 0.533 \| \| newssyscomb2009-fraspa.fra.spa \| 26.2 \| 0.539 \| \| newssyscomb2009-itaces.ita.ces \| 12.3 \| 0.397 \| \| newssyscomb2009-itadeu.ita.deu \| 13.3 \| 0.436 \| \| newssyscomb2009-itaeng.ita.eng \| 24.7 \| 0.517 \| \| newssyscomb2009-itafra.ita.fra \| 24.0 \| 0.528 \| \| newssyscomb2009-itaspa.ita.spa \| 26.3 \| 0.537 \| \| newssyscomb2009-spaces.spa.ces \| 12.0 \| 0.400 \| \| newssyscomb2009-spadeu.spa.deu \| 13.9 \| 0.440 \| \| newssyscomb2009-spaeng.spa.eng \| 22.9 \| 0.509 \| \| newssyscomb2009-spafra.spa.fra \| 24.2 \| 0.538 \| \| newssyscomb2009-spaita.spa.ita \| 24.5 \| 0.547 \| \| news-test2008-cesdeu.ces.deu \| 12.0 \| 0.422 \| \| news-test2008-cesfra.ces.fra \| 15.1 \| 0.444 \| \| news-test2008-cesspa.ces.spa \| 16.4 \| 0.451 \| \| news-test2008-deuces.deu.ces \| 9.9 \| 0.369 \| \| news-test2008-deueng.deu.eng \| 18.0 \| 0.456 \| \| news-test2008-deufra.deu.fra \| 16.4 \| 0.453 \| \| news-test2008-deuspa.deu.spa \| 17.0 \| 0.452 \| \| news-test2008-engces.eng.ces \| 10.5 \| 0.375 \| \| news-test2008-engdeu.eng.deu \| 14.5 \| 0.439 \| \| news-test2008-engfra.eng.fra \| 18.9 \| 0.481 \| \| news-test2008-engspa.eng.spa \| 20.9 \| 0.491 \| \| news-test2008-fraces.fra.ces \| 10.7 \| 0.380 \| \| news-test2008-fradeu.fra.deu \| 13.8 \| 0.435 \| \| news-test2008-fraeng.fra.eng \| 19.8 \| 0.479 \| \| news-test2008-fraspa.fra.spa \| 24.8 \| 0.522 \| \| news-test2008-spaces.spa.ces \| 11.0 \| 0.380 \| \| news-test2008-spadeu.spa.deu \| 14.0 \| 0.433 \| \| news-test2008-spaeng.spa.eng \| 20.6 \| 0.488 \| \| news-test2008-spafra.spa.fra \| 23.3 \| 0.518 \| \| newstest2009-cesdeu.ces.deu \| 12.9 \| 0.427 \| \| newstest2009-ceseng.ces.eng \| 17.0 \| 0.456 \| \| newstest2009-cesfra.ces.fra \| 15.4 \| 0.447 \| \| newstest2009-cesita.ces.ita \| 14.9 \| 0.454 \| \| newstest2009-cesspa.ces.spa \| 17.1 \| 0.458 \| \| newstest2009-deuces.deu.ces \| 10.3 \| 0.370 \| \| newstest2009-deueng.deu.eng \| 17.7 \| 0.458 \| \| newstest2009-deufra.deu.fra \| 15.9 \| 0.447 \| \| newstest2009-deuita.deu.ita \| 14.7 \| 0.446 \| \| newstest2009-deuspa.deu.spa \| 17.2 \| 0.453 \| \| newstest2009-engces.eng.ces \| 11.0 \| 0.387 \| \| newstest2009-engdeu.eng.deu \| 13.6 \| 0.440 \| \| newstest2009-engfra.eng.fra \| 20.3 \| 0.496 \| \| newstest2009-engita.eng.ita \| 20.8 \| 0.509 \| \| newstest2009-engspa.eng.spa \| 21.9 \| 0.503 \| \| newstest2009-fraces.fra.ces \| 11.3 \| 0.385 \| \| newstest2009-fradeu.fra.deu \| 14.0 \| 0.436 \| \| newstest2009-fraeng.fra.eng \| 21.8 \| 0.496 \| \| newstest2009-fraita.fra.ita \| 22.1 \| 0.526 \| \| newstest2009-fraspa.fra.spa \| 24.8 \| 0.525 \| \| newstest2009-itaces.ita.ces \| 11.5 \| 0.382 \| \| newstest2009-itadeu.ita.deu \| 13.3 \| 0.430 \| \| newstest2009-itaeng.ita.eng \| 23.6 \| 0.508 \| \| newstest2009-itafra.ita.fra \| 22.9 \| 0.516 \| \| newstest2009-itaspa.ita.spa \| 25.4 \| 0.529 \| \| newstest2009-spaces.spa.ces \| 11.3 \| 0.386 \| \| newstest2009-spadeu.spa.deu \| 13.5 \| 0.434 \| \| newstest2009-spaeng.spa.eng \| 22.4 \| 0.500 \| \| newstest2009-spafra.spa.fra \| 23.2 \| 0.520 \| \| newstest2009-spaita.spa.ita \| 24.0 \| 0.538 \| \| newstest2010-cesdeu.ces.deu \| 13.1 \| 0.431 \| \| newstest2010-ceseng.ces.eng \| 16.9 \| 0.459 \| \| newstest2010-cesfra.ces.fra \| 15.6 \| 0.450 \| \| newstest2010-cesspa.ces.spa \| 18.5 \| 0.467 \| \| newstest2010-deuces.deu.ces \| 11.4 \| 0.387 \| \| newstest2010-deueng.deu.eng \| 19.6 \| 0.481 \| \| newstest2010-deufra.deu.fra \| 17.7 \| 0.471 \| \| newstest2010-deuspa.deu.spa \| 20.0 \| 0.478 \| \| newstest2010-engces.eng.ces \| 11.4 \| 0.393 \| \| newstest2010-engdeu.eng.deu \| 15.1 \| 0.448 \| \| newstest2010-engfra.eng.fra \| 21.4 \| 0.506 \| \| newstest2010-engspa.eng.spa \| 25.0 \| 0.525 \| \| newstest2010-fraces.fra.ces \| 11.1 \| 0.386 \| \| newstest2010-fradeu.fra.deu \| 14.2 \| 0.442 \| \| newstest2010-fraeng.fra.eng \| 22.6 \| 0.507 \| \| newstest2010-fraspa.fra.spa \| 26.6 \| 0.542 \| \| newstest2010-spaces.spa.ces \| 12.2 \| 0.396 \| \| newstest2010-spadeu.spa.deu \| 15.1 \| 0.445 \| \| newstest2010-spaeng.spa.eng \| 24.3 \| 0.521 \| \| newstest2010-spafra.spa.fra \| 24.8 \| 0.536 \| \| newstest2011-cesdeu.ces.deu \| 13.1 \| 0.423 \| \| newstest2011-ceseng.ces.eng \| 18.2 \| 0.463 \| \| newstest2011-cesfra.ces.fra \| 17.4 \| 0.458 \| \| newstest2011-cesspa.ces.spa \| 18.9 \| 0.464 \| \| newstest2011-deuces.deu.ces \| 11.2 \| 0.376 \| \| newstest2011-deueng.deu.eng \| 18.3 \| 0.464 \| \| newstest2011-deufra.deu.fra \| 17.0 \| 0.457 \| \| newstest2011-deuspa.deu.spa \| 19.2 \| 0.464 \| \| newstest2011-engces.eng.ces \| 12.4 \| 0.395 \| \| newstest2011-engdeu.eng.deu \| 14.5 \| 0.437 \| \| newstest2011-engfra.eng.fra \| 23.6 \| 0.522 \| \| newstest2011-engspa.eng.spa \| 26.6 \| 0.530 \| \| newstest2011-fraces.fra.ces \| 12.5 \| 0.394 \| \| newstest2011-fradeu.fra.deu \| 14.2 \| 0.433 \| \| newstest2011-fraeng.fra.eng \| 24.3 \| 0.521 \| \| newstest2011-fraspa.fra.spa \| 29.1 \| 0.551 \| \| newstest2011-spaces.spa.ces \| 12.3 \| 0.390 \| \| newstest2011-spadeu.spa.deu \| 14.4 \| 0.435 \| \| newstest2011-spaeng.spa.eng \| 25.0 \| 0.521 \| \| newstest2011-spafra.spa.fra \| 25.6 \| 0.537 \| \| newstest2012-cesdeu.ces.deu \| 13.1 \| 0.420 \| \| newstest2012-ceseng.ces.eng \| 17.5 \| 0.457 \| \| newstest2012-cesfra.ces.fra \| 16.8 \| 0.452 \| \| newstest2012-cesrus.ces.rus \| 11.2 \| 0.379 \| \| newstest2012-cesspa.ces.spa \| 18.1 \| 0.457 \| \| newstest2012-deuces.deu.ces \| 11.2 \| 0.368 \| \| newstest2012-deueng.deu.eng \| 19.4 \| 0.472 \| \| newstest2012-deufra.deu.fra \| 17.7 \| 0.464 \| \| newstest2012-deurus.deu.rus \| 10.3 \| 0.370 \| \| newstest2012-deuspa.deu.spa \| 19.6 \| 0.467 \| \| newstest2012-engces.eng.ces \| 11.1 \| 0.375 \| \| newstest2012-engdeu.eng.deu \| 14.6 \| 0.440 \| \| newstest2012-engfra.eng.fra \| 22.4 \| 0.512 \| \| newstest2012-engrus.eng.rus \| 17.6 \| 0.452 \| \| newstest2012-engspa.eng.spa \| 26.5 \| 0.527 \| \| newstest2012-fraces.fra.ces \| 11.9 \| 0.383 \| \| newstest2012-fradeu.fra.deu \| 14.6 \| 0.437 \| \| newstest2012-fraeng.fra.eng \| 24.3 \| 0.516 \| \| newstest2012-frarus.fra.rus \| 11.9 \| 0.393 \| \| newstest2012-fraspa.fra.spa \| 28.3 \| 0.545 \| \| newstest2012-rusces.rus.ces \| 9.0 \| 0.340 \| \| newstest2012-rusdeu.rus.deu \| 10.0 \| 0.383 \| \| newstest2012-ruseng.rus.eng \| 22.4 \| 0.492 \| \| newstest2012-rusfra.rus.fra \| 13.3 \| 0.427 \| \| newstest2012-russpa.rus.spa \| 16.6 \| 0.437 \| \| newstest2012-spaces.spa.ces \| 11.9 \| 0.381 \| \| newstest2012-spadeu.spa.deu \| 14.8 \| 0.440 \| \| newstest2012-spaeng.spa.eng \| 26.5 \| 0.534 \| \| newstest2012-spafra.spa.fra \| 25.0 \| 0.539 \| \| newstest2012-sparus.spa.rus \| 12.4 \| 0.401 \| \| newstest2013-cesdeu.ces.deu \| 14.3 \| 0.434 \| \| newstest2013-ceseng.ces.eng \| 18.5 \| 0.463 \| \| newstest2013-cesfra.ces.fra \| 16.6 \| 0.444 \| \| newstest2013-cesrus.ces.rus \| 13.6 \| 0.406 \| \| newstest2013-cesspa.ces.spa \| 18.2 \| 0.455 \| \| newstest2013-deuces.deu.ces \| 11.7 \| 0.380 \| \| newstest2013-deueng.deu.eng \| 20.9 \| 0.481 \| \| newstest2013-deufra.deu.fra \| 18.1 \| 0.460 \| \| newstest2013-deurus.deu.rus \| 11.7 \| 0.384 \| \| newstest2013-deuspa.deu.spa \| 19.4 \| 0.463 \| \| newstest2013-engces.eng.ces \| 12.7 \| 0.394 \| \| newstest2013-engdeu.eng.deu \| 16.7 \| 0.455 \| \| newstest2013-engfra.eng.fra \| 22.7 \| 0.499 \| \| newstest2013-engrus.eng.rus \| 13.3 \| 0.408 \| \| newstest2013-engspa.eng.spa \| 23.6 \| 0.506 \| \| newstest2013-fraces.fra.ces \| 11.8 \| 0.379 \| \| newstest2013-fradeu.fra.deu \| 15.6 \| 0.446 \| \| newstest2013-fraeng.fra.eng \| 23.6 \| 0.506 \| \| newstest2013-frarus.fra.rus \| 12.9 \| 0.399 \| \| newstest2013-fraspa.fra.spa \| 25.3 \| 0.519 \| \| newstest2013-rusces.rus.ces \| 11.6 \| 0.376 \| \| newstest2013-rusdeu.rus.deu \| 12.4 \| 0.410 \| \| newstest2013-ruseng.rus.eng \| 17.8 \| 0.448 \| \| newstest2013-rusfra.rus.fra \| 14.8 \| 0.434 \| \| newstest2013-russpa.rus.spa \| 17.9 \| 0.446 \| \| newstest2013-spaces.spa.ces \| 12.5 \| 0.391 \| \| newstest2013-spadeu.spa.deu \| 15.9 \| 0.449 \| \| newstest2013-spaeng.spa.eng \| 24.0 \| 0.518 \| \| newstest2013-spafra.spa.fra \| 24.3 \| 0.522 \| \| newstest2013-sparus.spa.rus \| 13.9 \| 0.411 \| \| newstest2014-csen-ceseng.ces.eng \| 19.0 \| 0.475 \| \| newstest2014-deen-deueng.deu.eng \| 19.2 \| 0.468 \| \| newstest2014-fren-fraeng.fra.eng \| 23.9 \| 0.521 \| \| newstest2014-hien-enghin.eng.hin \| 5.9 \| 0.268 \| \| newstest2014-hien-hineng.hin.eng \| 8.8 \| 0.348 \| \| newstest2014-ruen-ruseng.rus.eng \| 19.1 \| 0.475 \| \| newstest2015-encs-ceseng.ces.eng \| 17.9 \| 0.450 \| \| newstest2015-encs-engces.eng.ces \| 12.1 \| 0.392 \| \| newstest2015-ende-deueng.deu.eng \| 21.1 \| 0.480 \| \| newstest2015-ende-engdeu.eng.deu \| 18.7 \| 0.475 \| \| newstest2015-enru-engrus.eng.rus \| 15.4 \| 0.431 \| \| newstest2015-enru-ruseng.rus.eng \| 18.1 \| 0.454 \| \| newstest2016-encs-ceseng.ces.eng \| 18.6 \| 0.465 \| \| newstest2016-encs-engces.eng.ces \| 13.3 \| 0.403 \| \| newstest2016-ende-deueng.deu.eng \| 24.0 \| 0.508 \| \| newstest2016-ende-engdeu.eng.deu \| 21.4 \| 0.494 \| \| newstest2016-enro-engron.eng.ron \| 16.8 \| 0.457 \| \| newstest2016-enro-roneng.ron.eng \| 24.9 \| 0.522 \| \| newstest2016-enru-engrus.eng.rus \| 13.7 \| 0.417 \| \| newstest2016-enru-ruseng.rus.eng \| 17.3 \| 0.453 \| \| newstest2017-encs-ceseng.ces.eng \| 16.7 \| 0.444 \| \| newstest2017-encs-engces.eng.ces \| 10.9 \| 0.375 \| \| newstest2017-ende-deueng.deu.eng \| 21.5 \| 0.484 \| \| newstest2017-ende-engdeu.eng.deu \| 17.5 \| 0.464 \| \| newstest2017-enlv-englav.eng.lav \| 9.1 \| 0.388 \| \| newstest2017-enlv-laveng.lav.eng \| 11.5 \| 0.404 \| \| newstest2017-enru-engrus.eng.rus \| 14.8 \| 0.432 \| \| newstest2017-enru-ruseng.rus.eng \| 19.3 \| 0.467 \| \| newstest2018-encs-ceseng.ces.eng \| 17.1 \| 0.450 \| \| newstest2018-encs-engces.eng.ces \| 10.9 \| 0.380 \| \| newstest2018-ende-deueng.deu.eng \| 26.0 \| 0.518 \| \| newstest2018-ende-engdeu.eng.deu \| 24.3 \| 0.514 \| \| newstest2018-enru-engrus.eng.rus \| 12.5 \| 0.417 \| \| newstest2018-enru-ruseng.rus.eng \| 16.4 \| 0.443 \| \| newstest2019-csde-cesdeu.ces.deu \| 13.9 \| 0.432 \| \| newstest2019-decs-deuces.deu.ces \| 11.7 \| 0.383 \| \| newstest2019-deen-deueng.deu.eng \| 22.2 \| 0.483 \| \| newstest2019-defr-deufra.deu.fra \| 20.1 \| 0.496 \| \| newstest2019-encs-engces.eng.ces \| 12.3 \| 0.389 \| \| newstest2019-ende-engdeu.eng.deu \| 22.0 \| 0.497 \| \| newstest2019-engu-engguj.eng.guj \| 3.1 \| 0.208 \| \| newstest2019-enlt-englit.eng.lit \| 7.8 \| 0.369 \| \| newstest2019-enru-engrus.eng.rus \| 14.6 \| 0.408 \| \| newstest2019-frde-fradeu.fra.deu \| 16.4 \| 0.483 \| \| newstest2019-guen-gujeng.guj.eng \| 6.1 \| 0.288 \| \| newstest2019-lten-liteng.lit.eng \| 16.9 \| 0.456 \| \| newstest2019-ruen-ruseng.rus.eng \| 20.2 \| 0.468 \| \| Tatoeba-test.afr-ang.afr.ang \| 16.0 \| 0.152 \| \| Tatoeba-test.afr-ces.afr.ces \| 10.2 \| 0.333 \| \| Tatoeba-test.afr-dan.afr.dan \| 32.6 \| 0.651 \| \| Tatoeba-test.afr-deu.afr.deu \| 34.5 \| 0.556 \| \| Tatoeba-test.afr-eng.afr.eng \| 48.1 \| 0.638 \| \| Tatoeba-test.afr-enm.afr.enm \| 10.2 \| 0.416 \| \| Tatoeba-test.afr-fra.afr.fra \| 41.9 \| 0.612 \| \| Tatoeba-test.afr-fry.afr.fry \| 0.0 \| 0.112 \| \| Tatoeba-test.afr-gos.afr.gos \| 0.3 \| 0.068 \| \| Tatoeba-test.afr-isl.afr.isl \| 12.2 \| 0.419 \| \| Tatoeba-test.afr-ita.afr.ita \| 48.7 \| 0.637 \| \| Tatoeba-test.afr-lat.afr.lat \| 8.4 \| 0.407 \| \| Tatoeba-test.afr-ltz.afr.ltz \| 19.0 \| 0.357 \| \| Tatoeba-test.afr-mkd.afr.mkd \| 0.0 \| 0.238 \| \| Tatoeba-test.afr-msa.afr.msa \| 1.4 \| 0.080 \| \| Tatoeba-test.afr-nld.afr.nld \| 45.7 \| 0.643 \| \| Tatoeba-test.afr-nor.afr.nor \| 55.3 \| 0.687 \| \| Tatoeba-test.afr-pol.afr.pol \| 39.3 \| 0.563 \| \| Tatoeba-test.afr-por.afr.por \| 33.9 \| 0.586 \| \| Tatoeba-test.afr-ron.afr.ron \| 22.6 \| 0.475 \| \| Tatoeba-test.afr-rus.afr.rus \| 32.1 \| 0.525 \| \| Tatoeba-test.afr-spa.afr.spa \| 44.1 \| 0.611 \| \| Tatoeba-test.afr-swe.afr.swe \| 71.6 \| 0.814 \| \| Tatoeba-test.afr-ukr.afr.ukr \| 31.0 \| 0.481 \| \| Tatoeba-test.afr-yid.afr.yid \| 100.0 \| 1.000 \| \| Tatoeba-test.ang-afr.ang.afr \| 0.0 \| 0.133 \| \| Tatoeba-test.ang-ces.ang.ces \| 5.5 \| 0.129 \| \| Tatoeba-test.ang-dan.ang.dan \| 22.2 \| 0.345 \| \| Tatoeba-test.ang-deu.ang.deu \| 6.3 \| 0.251 \| \| Tatoeba-test.ang-eng.ang.eng \| 7.9 \| 0.255 \| \| Tatoeba-test.ang-enm.ang.enm \| 0.8 \| 0.133 \| \| Tatoeba-test.ang-fao.ang.fao \| 16.0 \| 0.086 \| \| Tatoeba-test.ang-fra.ang.fra \| 6.0 \| 0.185 \| \| Tatoeba-test.ang-gos.ang.gos \| 0.6 \| 0.000 \| \| Tatoeba-test.ang-isl.ang.isl \| 16.0 \| 0.102 \| \| Tatoeba-test.ang-ita.ang.ita \| 13.2 \| 0.301 \| \| Tatoeba-test.ang-kur.ang.kur \| 7.6 \| 0.062 \| \| Tatoeba-test.ang-lad.ang.lad \| 0.2 \| 0.025 \| \| Tatoeba-test.ang-lat.ang.lat \| 6.6 \| 0.198 \| \| Tatoeba-test.ang-ltz.ang.ltz \| 5.5 \| 0.121 \| \| Tatoeba-test.ang-por.ang.por \| 11.4 \| 0.498 \| \| Tatoeba-test.ang-rus.ang.rus \| 2.4 \| 0.103 \| \| Tatoeba-test.ang-spa.ang.spa \| 8.1 \| 0.249 \| \| Tatoeba-test.ang-ukr.ang.ukr \| 16.4 \| 0.195 \| \| Tatoeba-test.ang-yid.ang.yid \| 1.1 \| 0.117 \| \| Tatoeba-test.arg-eng.arg.eng \| 28.2 \| 0.394 \| \| Tatoeba-test.arg-fra.arg.fra \| 39.8 \| 0.445 \| \| Tatoeba-test.arg-spa.arg.spa \| 52.3 \| 0.608 \| \| Tatoeba-test.asm-dan.asm.dan \| 8.6 \| 0.261 \| \| Tatoeba-test.asm-deu.asm.deu \| 19.2 \| 0.629 \| \| Tatoeba-test.asm-eng.asm.eng \| 18.2 \| 0.369 \| \| Tatoeba-test.asm-fra.asm.fra \| 4.3 \| 0.145 \| \| Tatoeba-test.asm-hin.asm.hin \| 4.5 \| 0.366 \| \| Tatoeba-test.asm-ita.asm.ita \| 12.1 \| 0.310 \| \| Tatoeba-test.asm-zza.asm.zza \| 8.1 \| 0.050 \| \| Tatoeba-test.ast-deu.ast.deu \| 30.1 \| 0.463 \| \| Tatoeba-test.ast-eng.ast.eng \| 27.6 \| 0.441 \| \| Tatoeba-test.ast-fra.ast.fra \| 29.4 \| 0.501 \| \| Tatoeba-test.ast-gos.ast.gos \| 2.6 \| 0.030 \| \| Tatoeba-test.ast-nds.ast.nds \| 10.0 \| 0.280 \| \| Tatoeba-test.ast-nld.ast.nld \| 100.0 \| 1.000 \| \| Tatoeba-test.ast-por.ast.por \| 100.0 \| 1.000 \| \| Tatoeba-test.ast-rus.ast.rus \| 35.9 \| 0.682 \| \| Tatoeba-test.ast-spa.ast.spa \| 41.7 \| 0.601 \| \| Tatoeba-test.awa-eng.awa.eng \| 2.4 \| 0.201 \| \| Tatoeba-test.bel-bul.bel.bul \| 53.7 \| 0.808 \| \| Tatoeba-test.bel-ces.bel.ces \| 27.6 \| 0.483 \| \| Tatoeba-test.bel-cym.bel.cym \| 32.6 \| 0.449 \| \| Tatoeba-test.bel-dan.bel.dan \| 29.1 \| 0.506 \| \| Tatoeba-test.bel-deu.bel.deu \| 29.5 \| 0.522 \| \| Tatoeba-test.bel-eng.bel.eng \| 31.8 \| 0.512 \| \| Tatoeba-test.bel-fra.bel.fra \| 30.9 \| 0.527 \| \| Tatoeba-test.bel-hbs.bel.hbs \| 39.3 \| 0.608 \| \| Tatoeba-test.bel-ita.bel.ita \| 32.8 \| 0.540 \| \| Tatoeba-test.bel-kur.bel.kur \| 12.7 \| 0.178 \| \| Tatoeba-test.bel-lad.bel.lad \| 4.5 \| 0.185 \| \| Tatoeba-test.bel-lat.bel.lat \| 3.7 \| 0.251 \| \| Tatoeba-test.bel-mkd.bel.mkd \| 19.3 \| 0.531 \| \| Tatoeba-test.bel-msa.bel.msa \| 1.0 \| 0.147 \| \| Tatoeba-test.bel-nld.bel.nld \| 27.1 \| 0.481 \| \| Tatoeba-test.bel-nor.bel.nor \| 37.0 \| 0.494 \| \| Tatoeba-test.bel-pol.bel.pol \| 34.8 \| 0.565 \| \| Tatoeba-test.bel-por.bel.por \| 21.7 \| 0.401 \| \| Tatoeba-test.bel-rus.bel.rus \| 42.3 \| 0.643 \| \| Tatoeba-test.bel-spa.bel.spa \| 28.2 \| 0.534 \| \| Tatoeba-test.bel-ukr.bel.ukr \| 41.6 \| 0.643 \| \| Tatoeba-test.bel-yid.bel.yid \| 2.9 \| 0.254 \| \| Tatoeba-test.ben-deu.ben.deu \| 34.6 \| 0.408 \| \| Tatoeba-test.ben-eng.ben.eng \| 26.5 \| 0.430 \| \| Tatoeba-test.ben-fra.ben.fra \| 21.6 \| 0.466 \| \| Tatoeba-test.ben-ita.ben.ita \| 26.8 \| 0.424 \| \| Tatoeba-test.ben-spa.ben.spa \| 28.9 \| 0.473 \| \| Tatoeba-test.bho-eng.bho.eng \| 21.0 \| 0.384 \| \| Tatoeba-test.bho-fra.bho.fra \| 100.0 \| 1.000 \| \| Tatoeba-test.bre-ces.bre.ces \| 2.2 \| 0.178 \| \| Tatoeba-test.bre-deu.bre.deu \| 7.7 \| 0.296 \| \| Tatoeba-test.bre-eng.bre.eng \| 13.6 \| 0.309 \| \| Tatoeba-test.bre-fra.bre.fra \| 8.6 \| 0.251 \| \| Tatoeba-test.bre-ita.bre.ita \| 12.2 \| 0.272 \| \| Tatoeba-test.bre-msa.bre.msa \| 0.9 \| 0.081 \| \| Tatoeba-test.bre-nld.bre.nld \| 3.0 \| 0.217 \| \| Tatoeba-test.bre-nor.bre.nor \| 1.4 \| 0.158 \| \| Tatoeba-test.bul-bel.bul.bel \| 14.1 \| 0.582 \| \| Tatoeba-test.bul-ces.bul.ces \| 52.8 \| 0.725 \| \| Tatoeba-test.bul-dan.bul.dan \| 66.9 \| 0.951 \| \| Tatoeba-test.bul-deu.bul.deu \| 31.2 \| 0.530 \| \| Tatoeba-test.bul-ell.bul.ell \| 29.1 \| 0.497 \| \| Tatoeba-test.bul-eng.bul.eng \| 36.5 \| 0.547 \| \| Tatoeba-test.bul-enm.bul.enm \| 5.3 \| 0.299 \| \| Tatoeba-test.bul-fas.bul.fas \| 8.9 \| 0.511 \| \| Tatoeba-test.bul-fra.bul.fra \| 36.1 \| 0.558 \| \| Tatoeba-test.bul-hbs.bul.hbs \| 100.0 \| 1.000 \| \| Tatoeba-test.bul-ita.bul.ita \| 24.5 \| 0.479 \| \| Tatoeba-test.bul-lad.bul.lad \| 8.1 \| 0.302 \| \| Tatoeba-test.bul-lat.bul.lat \| 13.4 \| 0.337 \| \| Tatoeba-test.bul-mkd.bul.mkd \| 38.2 \| 0.811 \| \| Tatoeba-test.bul-msa.bul.msa \| 15.0 \| 0.431 \| \| Tatoeba-test.bul-nld.bul.nld \| 31.8 \| 0.505 \| \| Tatoeba-test.bul-nor.bul.nor \| 66.9 \| 0.951 \| \| Tatoeba-test.bul-pol.bul.pol \| 24.4 \| 0.461 \| \| Tatoeba-test.bul-por.bul.por \| 29.2 \| 0.484 \| \| Tatoeba-test.bul-ron.bul.ron \| 42.7 \| 0.776 \| \| Tatoeba-test.bul-rus.bul.rus \| 28.7 \| 0.522 \| \| Tatoeba-test.bul-spa.bul.spa \| 32.1 \| 0.520 \| \| Tatoeba-test.bul-swe.bul.swe \| 66.9 \| 0.611 \| \| Tatoeba-test.bul-ukr.bul.ukr \| 34.3 \| 0.567 \| \| Tatoeba-test.bul-yid.bul.yid \| 13.7 \| 0.163 \| \| Tatoeba-test.cat-deu.cat.deu \| 31.0 \| 0.523 \| \| Tatoeba-test.cat-ell.cat.ell \| 17.0 \| 0.423 \| \| Tatoeba-test.cat-eng.cat.eng \| 39.4 \| 0.582 \| \| Tatoeba-test.cat-enm.cat.enm \| 5.3 \| 0.370 \| \| Tatoeba-test.cat-fao.cat.fao \| 16.0 \| 0.301 \| \| Tatoeba-test.cat-fra.cat.fra \| 41.0 \| 0.606 \| \| Tatoeba-test.cat-ita.cat.ita \| 39.8 \| 0.626 \| \| Tatoeba-test.cat-nld.cat.nld \| 35.9 \| 0.555 \| \| Tatoeba-test.cat-pol.cat.pol \| 23.0 \| 0.456 \| \| Tatoeba-test.cat-por.cat.por \| 38.9 \| 0.618 \| \| Tatoeba-test.cat-ron.cat.ron \| 16.0 \| 0.311 \| \| Tatoeba-test.cat-rus.cat.rus \| 28.8 \| 0.507 \| \| Tatoeba-test.cat-spa.cat.spa \| 55.2 \| 0.731 \| \| Tatoeba-test.cat-swe.cat.swe \| 100.0 \| 1.000 \| \| Tatoeba-test.cat-ukr.cat.ukr \| 30.8 \| 0.512 \| \| Tatoeba-test.cat-yid.cat.yid \| 100.0 \| 1.000 \| \| Tatoeba-test.ces-afr.ces.afr \| 17.0 \| 0.426 \| \| Tatoeba-test.ces-ang.ces.ang \| 3.3 \| 0.165 \| \| Tatoeba-test.ces-bel.ces.bel \| 23.3 \| 0.466 \| \| Tatoeba-test.ces-bre.ces.bre \| 0.7 \| 0.126 \| \| Tatoeba-test.ces-bul.ces.bul \| 45.2 \| 0.690 \| \| Tatoeba-test.ces-cor.ces.cor \| 3.4 \| 0.072 \| \| Tatoeba-test.ces-dan.ces.dan \| 12.7 \| 0.706 \| \| Tatoeba-test.ces-deu.ces.deu \| 32.2 \| 0.526 \| \| Tatoeba-test.ces-ell.ces.ell \| 24.4 \| 0.422 \| \| Tatoeba-test.ces-eng.ces.eng \| 33.8 \| 0.529 \| \| Tatoeba-test.ces-enm.ces.enm \| 1.7 \| 0.157 \| \| Tatoeba-test.ces-fao.ces.fao \| 3.7 \| 0.252 \| \| Tatoeba-test.ces-fas.ces.fas \| 20.1 \| 0.229 \| \| Tatoeba-test.ces-fra.ces.fra \| 36.9 \| 0.564 \| \| Tatoeba-test.ces-fry.ces.fry \| 7.7 \| 0.338 \| \| Tatoeba-test.ces-grc.ces.grc \| 0.6 \| 0.011 \| \| Tatoeba-test.ces-hbs.ces.hbs \| 39.7 \| 0.580 \| \| Tatoeba-test.ces-hsb.ces.hsb \| 7.0 \| 0.230 \| \| Tatoeba-test.ces-ita.ces.ita \| 28.2 \| 0.516 \| \| Tatoeba-test.ces-lad.ces.lad \| 1.7 \| 0.303 \| \| Tatoeba-test.ces-lat.ces.lat \| 6.5 \| 0.304 \| \| Tatoeba-test.ces-ltz.ces.ltz \| 6.6 \| 0.202 \| \| Tatoeba-test.ces-mkd.ces.mkd \| 31.4 \| 0.586 \| \| Tatoeba-test.ces-msa.ces.msa \| 6.4 \| 0.312 \| \| Tatoeba-test.ces-nds.ces.nds \| 19.9 \| 0.468 \| \| Tatoeba-test.ces-nld.ces.nld \| 35.1 \| 0.535 \| \| Tatoeba-test.ces-nor.ces.nor \| 41.7 \| 0.610 \| \| Tatoeba-test.ces-pol.ces.pol \| 30.5 \| 0.530 \| \| Tatoeba-test.ces-por.ces.por \| 33.0 \| 0.533 \| \| Tatoeba-test.ces-ron.ces.ron \| 9.9 \| 0.406 \| \| Tatoeba-test.ces-rus.ces.rus \| 36.9 \| 0.564 \| \| Tatoeba-test.ces-slv.ces.slv \| 4.1 \| 0.236 \| \| Tatoeba-test.ces-spa.ces.spa \| 33.3 \| 0.531 \| \| Tatoeba-test.ces-swe.ces.swe \| 51.4 \| 0.586 \| \| Tatoeba-test.ces-swg.ces.swg \| 4.8 \| 0.118 \| \| Tatoeba-test.ces-ukr.ces.ukr \| 34.6 \| 0.522 \| \| Tatoeba-test.ces-yid.ces.yid \| 2.1 \| 0.252 \| \| Tatoeba-test.cor-ces.cor.ces \| 8.9 \| 0.233 \| \| Tatoeba-test.cor-cym.cor.cym \| 6.7 \| 0.205 \| \| Tatoeba-test.cor-deu.cor.deu \| 4.8 \| 0.211 \| \| Tatoeba-test.cor-ell.cor.ell \| 3.4 \| 0.182 \| \| Tatoeba-test.cor-eng.cor.eng \| 4.4 \| 0.193 \| \| Tatoeba-test.cor-fra.cor.fra \| 5.0 \| 0.221 \| \| Tatoeba-test.cor-ita.cor.ita \| 6.6 \| 0.211 \| \| Tatoeba-test.cor-nld.cor.nld \| 9.3 \| 0.221 \| \| Tatoeba-test.cor-nor.cor.nor \| 19.6 \| 0.282 \| \| Tatoeba-test.cor-pol.cor.pol \| 2.9 \| 0.171 \| \| Tatoeba-test.cor-por.cor.por \| 4.3 \| 0.187 \| \| Tatoeba-test.cor-rus.cor.rus \| 2.4 \| 0.154 \| \| Tatoeba-test.cor-spa.cor.spa \| 3.6 \| 0.187 \| \| Tatoeba-test.cos-deu.cos.deu \| 0.0 \| 0.877 \| \| Tatoeba-test.cos-eng.cos.eng \| 39.2 \| 0.473 \| \| Tatoeba-test.cos-fra.cos.fra \| 19.0 \| 0.352 \| \| Tatoeba-test.cos-pms.cos.pms \| 1.6 \| 0.066 \| \| Tatoeba-test.csb-deu.csb.deu \| 17.5 \| 0.336 \| \| Tatoeba-test.csb-eng.csb.eng \| 14.0 \| 0.347 \| \| Tatoeba-test.csb-spa.csb.spa \| 3.8 \| 0.278 \| \| Tatoeba-test.cym-bel.cym.bel \| 100.0 \| 1.000 \| \| Tatoeba-test.cym-cor.cym.cor \| 0.0 \| 0.014 \| \| Tatoeba-test.cym-deu.cym.deu \| 32.6 \| 0.507 \| \| Tatoeba-test.cym-eng.cym.eng \| 33.1 \| 0.496 \| \| Tatoeba-test.cym-fra.cym.fra \| 27.0 \| 0.447 \| \| Tatoeba-test.cym-gla.cym.gla \| 5.7 \| 0.223 \| \| Tatoeba-test.cym-gle.cym.gle \| 13.1 \| 0.380 \| \| Tatoeba-test.cym-glv.cym.glv \| 5.3 \| 0.186 \| \| Tatoeba-test.cym-ita.cym.ita \| 28.3 \| 0.498 \| \| Tatoeba-test.cym-lat.cym.lat \| 3.7 \| 0.185 \| \| Tatoeba-test.cym-msa.cym.msa \| 8.0 \| 0.067 \| \| Tatoeba-test.cym-nor.cym.nor \| 37.5 \| 0.603 \| \| Tatoeba-test.cym-pol.cym.pol \| 37.8 \| 0.488 \| \| Tatoeba-test.cym-rus.cym.rus \| 32.1 \| 0.480 \| \| Tatoeba-test.cym-spa.cym.spa \| 31.6 \| 0.523 \| \| Tatoeba-test.cym-yid.cym.yid \| 4.8 \| 0.072 \| \| Tatoeba-test.dan-afr.dan.afr \| 40.5 \| 0.774 \| \| Tatoeba-test.dan-ang.dan.ang \| 1.2 \| 0.066 \| \| Tatoeba-test.dan-asm.dan.asm \| 13.1 \| 0.156 \| \| Tatoeba-test.dan-bel.dan.bel \| 27.2 \| 0.746 \| \| Tatoeba-test.dan-bul.dan.bul \| 35.4 \| 0.529 \| \| Tatoeba-test.dan-ces.dan.ces \| 19.0 \| 0.349 \| \| Tatoeba-test.dan-deu.dan.deu \| 35.8 \| 0.582 \| \| Tatoeba-test.dan-ell.dan.ell \| 19.0 \| 0.337 \| \| Tatoeba-test.dan-eng.dan.eng \| 43.4 \| 0.609 \| \| Tatoeba-test.dan-enm.dan.enm \| 18.1 \| 0.515 \| \| Tatoeba-test.dan-fao.dan.fao \| 9.7 \| 0.162 \| \| Tatoeba-test.dan-fas.dan.fas \| 14.1 \| 0.410 \| \| Tatoeba-test.dan-fra.dan.fra \| 47.0 \| 0.640 \| \| Tatoeba-test.dan-gos.dan.gos \| 2.6 \| 0.195 \| \| Tatoeba-test.dan-isl.dan.isl \| 12.2 \| 0.344 \| \| Tatoeba-test.dan-ita.dan.ita \| 36.3 \| 0.589 \| \| Tatoeba-test.dan-kur.dan.kur \| 3.5 \| 0.270 \| \| Tatoeba-test.dan-lad.dan.lad \| 0.4 \| 0.096 \| \| Tatoeba-test.dan-lat.dan.lat \| 3.9 \| 0.376 \| \| Tatoeba-test.dan-lav.dan.lav \| 68.7 \| 0.786 \| \| Tatoeba-test.dan-ltz.dan.ltz \| 71.4 \| 0.554 \| \| Tatoeba-test.dan-mar.dan.mar \| 3.7 \| 0.220 \| \| Tatoeba-test.dan-nds.dan.nds \| 4.9 \| 0.219 \| \| Tatoeba-test.dan-nld.dan.nld \| 47.2 \| 0.650 \| \| Tatoeba-test.dan-nor.dan.nor \| 58.8 \| 0.749 \| \| Tatoeba-test.dan-pol.dan.pol \| 27.1 \| 0.527 \| \| Tatoeba-test.dan-por.dan.por \| 41.5 \| 0.616 \| \| Tatoeba-test.dan-ron.dan.ron \| 100.0 \| 1.000 \| \| Tatoeba-test.dan-rus.dan.rus \| 30.8 \| 0.518 \| \| Tatoeba-test.dan-spa.dan.spa \| 36.6 \| 0.578 \| \| Tatoeba-test.dan-swe.dan.swe \| 53.8 \| 0.696 \| \| Tatoeba-test.dan-swg.dan.swg \| 4.8 \| 0.184 \| \| Tatoeba-test.dan-ukr.dan.ukr \| 15.9 \| 0.489 \| \| Tatoeba-test.dan-urd.dan.urd \| 21.7 \| 0.544 \| \| Tatoeba-test.dan-yid.dan.yid \| 13.0 \| 0.252 \| \| Tatoeba-test.deu-afr.deu.afr \| 37.5 \| 0.566 \| \| Tatoeba-test.deu-ang.deu.ang \| 0.6 \| 0.131 \| \| Tatoeba-test.deu-asm.deu.asm \| 20.0 \| 0.580 \| \| Tatoeba-test.deu-ast.deu.ast \| 16.5 \| 0.389 \| \| Tatoeba-test.deu-bel.deu.bel \| 19.6 \| 0.450 \| \| Tatoeba-test.deu-ben.deu.ben \| 34.5 \| 0.319 \| \| Tatoeba-test.deu-bre.deu.bre \| 3.2 \| 0.196 \| \| Tatoeba-test.deu-bul.deu.bul \| 32.6 \| 0.517 \| \| Tatoeba-test.deu-cat.deu.cat \| 28.4 \| 0.503 \| \| Tatoeba-test.deu-ces.deu.ces \| 24.3 \| 0.465 \| \| Tatoeba-test.deu-cor.deu.cor \| 0.2 \| 0.043 \| \| Tatoeba-test.deu-cos.deu.cos \| 2.4 \| 0.020 \| \| Tatoeba-test.deu-csb.deu.csb \| 4.4 \| 0.178 \| \| Tatoeba-test.deu-cym.deu.cym \| 11.3 \| 0.378 \| \| Tatoeba-test.deu-dan.deu.dan \| 37.8 \| 0.579 \| \| Tatoeba-test.deu-dsb.deu.dsb \| 0.1 \| 0.082 \| \| Tatoeba-test.deu-egl.deu.egl \| 3.3 \| 0.050 \| \| Tatoeba-test.deu-ell.deu.ell \| 27.1 \| 0.485 \| \| Tatoeba-test.deu-eng.deu.eng \| 34.7 \| 0.539 \| \| Tatoeba-test.deu-enm.deu.enm \| 6.7 \| 0.331 \| \| Tatoeba-test.deu-fas.deu.fas \| 4.5 \| 0.235 \| \| Tatoeba-test.deu-fra.deu.fra \| 31.9 \| 0.527 \| \| Tatoeba-test.deu-frr.deu.frr \| 0.2 \| 0.101 \| \| Tatoeba-test.deu-fry.deu.fry \| 13.7 \| 0.358 \| \| Tatoeba-test.deu-gla.deu.gla \| 7.2 \| 0.304 \| \| Tatoeba-test.deu-gle.deu.gle \| 8.9 \| 0.349 \| \| Tatoeba-test.deu-glg.deu.glg \| 28.9 \| 0.513 \| \| Tatoeba-test.deu-gos.deu.gos \| 0.7 \| 0.157 \| \| Tatoeba-test.deu-got.deu.got \| 0.2 \| 0.010 \| \| Tatoeba-test.deu-grc.deu.grc \| 0.1 \| 0.005 \| \| Tatoeba-test.deu-gsw.deu.gsw \| 0.2 \| 0.073 \| \| Tatoeba-test.deu-hbs.deu.hbs \| 23.2 \| 0.470 \| \| Tatoeba-test.deu-hin.deu.hin \| 12.5 \| 0.367 \| \| Tatoeba-test.deu-hsb.deu.hsb \| 5.4 \| 0.249 \| \| Tatoeba-test.deu-hye.deu.hye \| 12.9 \| 0.263 \| \| Tatoeba-test.deu-isl.deu.isl \| 16.5 \| 0.395 \| \| Tatoeba-test.deu-ita.deu.ita \| 29.2 \| 0.536 \| \| Tatoeba-test.deu-ksh.deu.ksh \| 0.6 \| 0.092 \| \| Tatoeba-test.deu-kur.deu.kur \| 11.2 \| 0.183 \| \| Tatoeba-test.deu-lad.deu.lad \| 0.3 \| 0.112 \| \| Tatoeba-test.deu-lat.deu.lat \| 6.4 \| 0.301 \| \| Tatoeba-test.deu-lav.deu.lav \| 29.6 \| 0.502 \| \| Tatoeba-test.deu-lit.deu.lit \| 17.4 \| 0.445 \| \| Tatoeba-test.deu-ltz.deu.ltz \| 18.5 \| 0.380 \| \| Tatoeba-test.deu-mar.deu.mar \| 7.9 \| 0.245 \| \| Tatoeba-test.deu-mkd.deu.mkd \| 21.9 \| 0.449 \| \| Tatoeba-test.deu-msa.deu.msa \| 21.9 \| 0.478 \| \| Tatoeba-test.deu-nds.deu.nds \| 13.6 \| 0.391 \| \| Tatoeba-test.deu-nld.deu.nld \| 37.2 \| 0.574 \| \| Tatoeba-test.deu-nor.deu.nor \| 34.5 \| 0.562 \| \| Tatoeba-test.deu-oci.deu.oci \| 4.7 \| 0.261 \| \| Tatoeba-test.deu-orv.deu.orv \| 0.2 \| 0.006 \| \| Tatoeba-test.deu-pdc.deu.pdc \| 0.6 \| 0.064 \| \| Tatoeba-test.deu-pms.deu.pms \| 0.2 \| 0.064 \| \| Tatoeba-test.deu-pol.deu.pol \| 23.6 \| 0.477 \| \| Tatoeba-test.deu-por.deu.por \| 25.1 \| 0.480 \| \| Tatoeba-test.deu-prg.deu.prg \| 0.2 \| 0.070 \| \| Tatoeba-test.deu-roh.deu.roh \| 0.2 \| 0.059 \| \| Tatoeba-test.deu-rom.deu.rom \| 5.2 \| 0.179 \| \| Tatoeba-test.deu-ron.deu.ron \| 25.7 \| 0.484 \| \| Tatoeba-test.deu-rus.deu.rus \| 27.1 \| 0.494 \| \| Tatoeba-test.deu-scn.deu.scn \| 1.6 \| 0.076 \| \| Tatoeba-test.deu-sco.deu.sco \| 10.8 \| 0.281 \| \| Tatoeba-test.deu-slv.deu.slv \| 8.1 \| 0.251 \| \| Tatoeba-test.deu-spa.deu.spa \| 31.5 \| 0.534 \| \| Tatoeba-test.deu-stq.deu.stq \| 0.6 \| 0.144 \| \| Tatoeba-test.deu-swe.deu.swe \| 39.1 \| 0.572 \| \| Tatoeba-test.deu-swg.deu.swg \| 0.1 \| 0.088 \| \| Tatoeba-test.deu-tgk.deu.tgk \| 13.1 \| 0.406 \| \| Tatoeba-test.deu-ukr.deu.ukr \| 27.2 \| 0.489 \| \| Tatoeba-test.deu-urd.deu.urd \| 13.4 \| 0.350 \| \| Tatoeba-test.deu-yid.deu.yid \| 6.0 \| 0.262 \| \| Tatoeba-test.dsb-deu.dsb.deu \| 14.1 \| 0.366 \| \| Tatoeba-test.dsb-eng.dsb.eng \| 19.0 \| 0.424 \| \| Tatoeba-test.dsb-nld.dsb.nld \| 15.4 \| 0.342 \| \| Tatoeba-test.dsb-pol.dsb.pol \| 15.2 \| 0.315 \| \| Tatoeba-test.dsb-rus.dsb.rus \| 35.4 \| 0.394 \| \| Tatoeba-test.dsb-spa.dsb.spa \| 12.6 \| 0.401 \| \| Tatoeba-test.egl-deu.egl.deu \| 2.9 \| 0.168 \| \| Tatoeba-test.egl-eng.egl.eng \| 5.2 \| 0.207 \| \| Tatoeba-test.egl-fra.egl.fra \| 6.4 \| 0.215 \| \| Tatoeba-test.egl-ita.egl.ita \| 1.6 \| 0.180 \| \| Tatoeba-test.egl-spa.egl.spa \| 3.9 \| 0.199 \| \| Tatoeba-test.ell-bul.ell.bul \| 26.6 \| 0.483 \| \| Tatoeba-test.ell-cat.ell.cat \| 20.2 \| 0.398 \| \| Tatoeba-test.ell-ces.ell.ces \| 12.1 \| 0.380 \| \| Tatoeba-test.ell-cor.ell.cor \| 0.7 \| 0.039 \| \| Tatoeba-test.ell-dan.ell.dan \| 53.7 \| 0.513 \| \| Tatoeba-test.ell-deu.ell.deu \| 30.5 \| 0.503 \| \| Tatoeba-test.ell-eng.ell.eng \| 43.1 \| 0.589 \| \| Tatoeba-test.ell-enm.ell.enm \| 12.7 \| 0.541 \| \| Tatoeba-test.ell-fas.ell.fas \| 5.3 \| 0.210 \| \| Tatoeba-test.ell-fra.ell.fra \| 39.5 \| 0.563 \| \| Tatoeba-test.ell-glg.ell.glg \| 11.6 \| 0.343 \| \| Tatoeba-test.ell-ita.ell.ita \| 30.9 \| 0.524 \| \| Tatoeba-test.ell-msa.ell.msa \| 57.6 \| 0.572 \| \| Tatoeba-test.ell-nds.ell.nds \| 4.9 \| 0.244 \| \| Tatoeba-test.ell-nld.ell.nld \| 38.0 \| 0.562 \| \| Tatoeba-test.ell-nor.ell.nor \| 40.8 \| 0.615 \| \| Tatoeba-test.ell-pap.ell.pap \| 72.6 \| 0.846 \| \| Tatoeba-test.ell-pol.ell.pol \| 26.8 \| 0.514 \| \| Tatoeba-test.ell-por.ell.por \| 27.1 \| 0.493 \| \| Tatoeba-test.ell-rus.ell.rus \| 30.8 \| 0.512 \| \| Tatoeba-test.ell-spa.ell.spa \| 30.8 \| 0.475 \| \| Tatoeba-test.ell-swe.ell.swe \| 36.0 \| 0.521 \| \| Tatoeba-test.ell-ukr.ell.ukr \| 12.6 \| 0.364 \| \| Tatoeba-test.ell-yid.ell.yid \| 100.0 \| 1.000 \| \| Tatoeba-test.eng-afr.eng.afr \| 46.1 \| 0.633 \| \| Tatoeba-test.eng-ang.eng.ang \| 5.1 \| 0.136 \| \| Tatoeba-test.eng-arg.eng.arg \| 5.1 \| 0.199 \| \| Tatoeba-test.eng-asm.eng.asm \| 0.8 \| 0.208 \| \| Tatoeba-test.eng-ast.eng.ast \| 16.8 \| 0.380 \| \| Tatoeba-test.eng-awa.eng.awa \| 0.2 \| 0.002 \| \| Tatoeba-test.eng-bel.eng.bel \| 16.6 \| 0.415 \| \| Tatoeba-test.eng-ben.eng.ben \| 7.0 \| 0.321 \| \| Tatoeba-test.eng-bho.eng.bho \| 0.2 \| 0.003 \| \| Tatoeba-test.eng-bre.eng.bre \| 6.6 \| 0.251 \| \| Tatoeba-test.eng-bul.eng.bul \| 31.5 \| 0.513 \| \| Tatoeba-test.eng-cat.eng.cat \| 33.5 \| 0.550 \| \| Tatoeba-test.eng-ces.eng.ces \| 25.6 \| 0.466 \| \| Tatoeba-test.eng-cor.eng.cor \| 0.1 \| 0.035 \| \| Tatoeba-test.eng-cos.eng.cos \| 0.8 \| 0.135 \| \| Tatoeba-test.eng-csb.eng.csb \| 1.4 \| 0.194 \| \| Tatoeba-test.eng-cym.eng.cym \| 18.8 \| 0.422 \| \| Tatoeba-test.eng-dan.eng.dan \| 41.2 \| 0.591 \| \| Tatoeba-test.eng-deu.eng.deu \| 27.9 \| 0.503 \| \| Tatoeba-test.eng-dsb.eng.dsb \| 0.7 \| 0.125 \| \| Tatoeba-test.eng-egl.eng.egl \| 0.1 \| 0.062 \| \| Tatoeba-test.eng-ell.eng.ell \| 30.7 \| 0.540 \| \| Tatoeba-test.eng-enm.eng.enm \| 4.9 \| 0.283 \| \| Tatoeba-test.eng-ext.eng.ext \| 3.9 \| 0.217 \| \| Tatoeba-test.eng-fao.eng.fao \| 5.9 \| 0.276 \| \| Tatoeba-test.eng-fas.eng.fas \| 4.8 \| 0.239 \| \| Tatoeba-test.eng-fra.eng.fra \| 34.6 \| 0.551 \| \| Tatoeba-test.eng-frm.eng.frm \| 0.2 \| 0.099 \| \| Tatoeba-test.eng-frr.eng.frr \| 5.5 \| 0.040 \| \| Tatoeba-test.eng-fry.eng.fry \| 13.1 \| 0.357 \| \| Tatoeba-test.eng-gcf.eng.gcf \| 0.4 \| 0.085 \| \| Tatoeba-test.eng-gla.eng.gla \| 7.4 \| 0.293 \| \| Tatoeba-test.eng-gle.eng.gle \| 20.0 \| 0.415 \| \| Tatoeba-test.eng-glg.eng.glg \| 29.9 \| 0.528 \| \| Tatoeba-test.eng-glv.eng.glv \| 5.9 \| 0.220 \| \| Tatoeba-test.eng-gos.eng.gos \| 0.5 \| 0.137 \| \| Tatoeba-test.eng-got.eng.got \| 0.1 \| 0.009 \| \| Tatoeba-test.eng-grc.eng.grc \| 0.0 \| 0.005 \| \| Tatoeba-test.eng-gsw.eng.gsw \| 0.5 \| 0.103 \| \| Tatoeba-test.eng-guj.eng.guj \| 6.4 \| 0.241 \| \| Tatoeba-test.eng-hat.eng.hat \| 28.2 \| 0.460 \| \| Tatoeba-test.eng-hbs.eng.hbs \| 26.0 \| 0.485 \| \| Tatoeba-test.eng-hif.eng.hif \| 0.8 \| 0.228 \| \| Tatoeba-test.eng-hin.eng.hin \| 11.2 \| 0.364 \| \| Tatoeba-test.eng-hsb.eng.hsb \| 10.6 \| 0.277 \| \| Tatoeba-test.eng-hye.eng.hye \| 10.9 \| 0.307 \| \| Tatoeba-test.eng-isl.eng.isl \| 13.8 \| 0.368 \| \| Tatoeba-test.eng-ita.eng.ita \| 33.8 \| 0.571 \| \| Tatoeba-test.eng-jdt.eng.jdt \| 3.0 \| 0.007 \| \| Tatoeba-test.eng-kok.eng.kok \| 4.8 \| 0.005 \| \| Tatoeba-test.eng-ksh.eng.ksh \| 0.4 \| 0.092 \| \| Tatoeba-test.eng-kur.eng.kur \| 9.0 \| 0.174 \| \| Tatoeba-test.eng-lad.eng.lad \| 0.5 \| 0.144 \| \| Tatoeba-test.eng-lah.eng.lah \| 0.1 \| 0.000 \| \| Tatoeba-test.eng-lat.eng.lat \| 7.7 \| 0.333 \| \| Tatoeba-test.eng-lav.eng.lav \| 25.1 \| 0.480 \| \| Tatoeba-test.eng-lij.eng.lij \| 0.4 \| 0.101 \| \| Tatoeba-test.eng-lit.eng.lit \| 21.0 \| 0.492 \| \| Tatoeba-test.eng-lld.eng.lld \| 0.5 \| 0.143 \| \| Tatoeba-test.eng-lmo.eng.lmo \| 0.5 \| 0.135 \| \| Tatoeba-test.eng-ltz.eng.ltz \| 15.6 \| 0.345 \| \| Tatoeba-test.eng-mai.eng.mai \| 9.3 \| 0.251 \| \| Tatoeba-test.eng-mar.eng.mar \| 9.5 \| 0.326 \| \| Tatoeba-test.eng-mfe.eng.mfe \| 54.1 \| 0.747 \| \| Tatoeba-test.eng-mkd.eng.mkd \| 29.8 \| 0.503 \| \| Tatoeba-test.eng-msa.eng.msa \| 20.0 \| 0.449 \| \| Tatoeba-test.eng-mwl.eng.mwl \| 9.3 \| 0.231 \| \| Tatoeba-test.eng-nds.eng.nds \| 12.2 \| 0.357 \| \| Tatoeba-test.eng-nep.eng.nep \| 0.2 \| 0.003 \| \| Tatoeba-test.eng-nld.eng.nld \| 37.1 \| 0.570 \| \| Tatoeba-test.eng-non.eng.non \| 0.5 \| 0.078 \| \| Tatoeba-test.eng-nor.eng.nor \| 38.4 \| 0.575 \| \| Tatoeba-test.eng-oci.eng.oci \| 4.8 \| 0.249 \| \| Tatoeba-test.eng-ori.eng.ori \| 2.8 \| 0.185 \| \| Tatoeba-test.eng-orv.eng.orv \| 0.1 \| 0.011 \| \| Tatoeba-test.eng-oss.eng.oss \| 2.6 \| 0.166 \| \| Tatoeba-test.eng-pan.eng.pan \| 2.6 \| 0.214 \| \| Tatoeba-test.eng-pap.eng.pap \| 39.8 \| 0.566 \| \| Tatoeba-test.eng-pdc.eng.pdc \| 1.0 \| 0.131 \| \| Tatoeba-test.eng-pms.eng.pms \| 0.9 \| 0.124 \| \| Tatoeba-test.eng-pol.eng.pol \| 26.2 \| 0.500 \| \| Tatoeba-test.eng-por.eng.por \| 31.5 \| 0.545 \| \| Tatoeba-test.eng-prg.eng.prg \| 0.2 \| 0.088 \| \| Tatoeba-test.eng-pus.eng.pus \| 0.4 \| 0.108 \| \| Tatoeba-test.eng-roh.eng.roh \| 1.8 \| 0.192 \| \| Tatoeba-test.eng-rom.eng.rom \| 7.6 \| 0.313 \| \| Tatoeba-test.eng-ron.eng.ron \| 27.6 \| 0.508 \| \| Tatoeba-test.eng-rue.eng.rue \| 0.1 \| 0.011 \| \| Tatoeba-test.eng-rus.eng.rus \| 28.6 \| 0.496 \| \| Tatoeba-test.eng-san.eng.san \| 2.0 \| 0.098 \| \| Tatoeba-test.eng-scn.eng.scn \| 0.9 \| 0.080 \| \| Tatoeba-test.eng-sco.eng.sco \| 24.5 \| 0.501 \| \| Tatoeba-test.eng-sgs.eng.sgs \| 1.3 \| 0.105 \| \| Tatoeba-test.eng-sin.eng.sin \| 3.0 \| 0.178 \| \| Tatoeba-test.eng-slv.eng.slv \| 12.5 \| 0.298 \| \| Tatoeba-test.eng-snd.eng.snd \| 1.7 \| 0.214 \| \| Tatoeba-test.eng-spa.eng.spa \| 36.3 \| 0.575 \| \| Tatoeba-test.eng-sqi.eng.sqi \| 22.1 \| 0.459 \| \| Tatoeba-test.eng-stq.eng.stq \| 5.2 \| 0.316 \| \| Tatoeba-test.eng-swe.eng.swe \| 42.4 \| 0.591 \| \| Tatoeba-test.eng-swg.eng.swg \| 0.6 \| 0.145 \| \| Tatoeba-test.eng-tgk.eng.tgk \| 1.9 \| 0.255 \| \| Tatoeba-test.eng-tly.eng.tly \| 0.3 \| 0.054 \| \| Tatoeba-test.eng-ukr.eng.ukr \| 27.3 \| 0.478 \| \| Tatoeba-test.eng-urd.eng.urd \| 7.0 \| 0.310 \| \| Tatoeba-test.eng-vec.eng.vec \| 0.9 \| 0.116 \| \| Tatoeba-test.eng-wln.eng.wln \| 4.0 \| 0.164 \| \| Tatoeba-test.eng-yid.eng.yid \| 5.9 \| 0.260 \| \| Tatoeba-test.eng-zza.eng.zza \| 0.4 \| 0.071 \| \| Tatoeba-test.enm-afr.enm.afr \| 20.1 \| 0.420 \| \| Tatoeba-test.enm-ang.enm.ang \| 0.6 \| 0.057 \| \| Tatoeba-test.enm-bul.enm.bul \| 22.8 \| 0.278 \| \| Tatoeba-test.enm-cat.enm.cat \| 9.0 \| 0.360 \| \| Tatoeba-test.enm-ces.enm.ces \| 19.0 \| 0.324 \| \| Tatoeba-test.enm-dan.enm.dan \| 35.8 \| 0.523 \| \| Tatoeba-test.enm-deu.enm.deu \| 35.7 \| 0.495 \| \| Tatoeba-test.enm-ell.enm.ell \| 42.7 \| 0.644 \| \| Tatoeba-test.enm-eng.enm.eng \| 22.4 \| 0.477 \| \| Tatoeba-test.enm-fas.enm.fas \| 4.3 \| 0.141 \| \| Tatoeba-test.enm-fra.enm.fra \| 9.0 \| 0.345 \| \| Tatoeba-test.enm-fry.enm.fry \| 16.0 \| 0.289 \| \| Tatoeba-test.enm-gle.enm.gle \| 4.1 \| 0.143 \| \| Tatoeba-test.enm-gos.enm.gos \| 3.0 \| 0.247 \| \| Tatoeba-test.enm-hbs.enm.hbs \| 11.6 \| 0.294 \| \| Tatoeba-test.enm-isl.enm.isl \| 19.0 \| 0.220 \| \| Tatoeba-test.enm-ita.enm.ita \| 4.8 \| 0.188 \| \| Tatoeba-test.enm-ksh.enm.ksh \| 6.1 \| 0.136 \| \| Tatoeba-test.enm-kur.enm.kur \| 16.0 \| 0.054 \| \| Tatoeba-test.enm-lad.enm.lad \| 0.7 \| 0.124 \| \| Tatoeba-test.enm-lat.enm.lat \| 5.4 \| 0.238 \| \| Tatoeba-test.enm-mwl.enm.mwl \| 10.5 \| 0.155 \| \| Tatoeba-test.enm-nds.enm.nds \| 18.6 \| 0.427 \| \| Tatoeba-test.enm-nld.enm.nld \| 38.9 \| 0.611 \| \| Tatoeba-test.enm-nor.enm.nor \| 6.8 \| 0.276 \| \| Tatoeba-test.enm-oci.enm.oci \| 10.5 \| 0.138 \| \| Tatoeba-test.enm-por.enm.por \| 12.7 \| 0.088 \| \| Tatoeba-test.enm-ron.enm.ron \| 7.6 \| 0.109 \| \| Tatoeba-test.enm-rus.enm.rus \| 18.8 \| 0.254 \| \| Tatoeba-test.enm-spa.enm.spa \| 21.4 \| 0.339 \| \| Tatoeba-test.enm-ukr.enm.ukr \| 4.0 \| 0.440 \| \| Tatoeba-test.enm-yid.enm.yid \| 5.3 \| 0.231 \| \| Tatoeba-test.ext-eng.ext.eng \| 24.9 \| 0.420 \| \| Tatoeba-test.fao-ang.fao.ang \| 0.0 \| 0.056 \| \| Tatoeba-test.fao-cat.fao.cat \| 16.0 \| 0.171 \| \| Tatoeba-test.fao-ces.fao.ces \| 2.1 \| 0.258 \| \| Tatoeba-test.fao-dan.fao.dan \| 43.5 \| 0.557 \| \| Tatoeba-test.fao-eng.fao.eng \| 21.3 \| 0.402 \| \| Tatoeba-test.fao-fra.fao.fra \| 3.0 \| 0.164 \| \| Tatoeba-test.fao-gos.fao.gos \| 12.7 \| 0.142 \| \| Tatoeba-test.fao-isl.fao.isl \| 10.5 \| 0.131 \| \| Tatoeba-test.fao-msa.fao.msa \| 0.6 \| 0.087 \| \| Tatoeba-test.fao-nor.fao.nor \| 26.2 \| 0.443 \| \| Tatoeba-test.fao-pol.fao.pol \| 3.6 \| 0.176 \| \| Tatoeba-test.fao-swe.fao.swe \| 0.0 \| 0.632 \| \| Tatoeba-test.fas-bul.fas.bul \| 5.8 \| 0.163 \| \| Tatoeba-test.fas-ces.fas.ces \| 14.5 \| 0.104 \| \| Tatoeba-test.fas-dan.fas.dan \| 53.7 \| 0.504 \| \| Tatoeba-test.fas-deu.fas.deu \| 8.5 \| 0.311 \| \| Tatoeba-test.fas-ell.fas.ell \| 8.7 \| 0.259 \| \| Tatoeba-test.fas-eng.fas.eng \| 10.3 \| 0.303 \| \| Tatoeba-test.fas-enm.fas.enm \| 1.3 \| 0.006 \| \| Tatoeba-test.fas-fra.fas.fra \| 8.6 \| 0.331 \| \| Tatoeba-test.fas-ita.fas.ita \| 7.2 \| 0.301 \| \| Tatoeba-test.fas-lad.fas.lad \| 0.4 \| 0.074 \| \| Tatoeba-test.fas-lat.fas.lat \| 14.4 \| 0.256 \| \| Tatoeba-test.fas-msa.fas.msa \| 9.8 \| 0.325 \| \| Tatoeba-test.fas-nds.fas.nds \| 6.6 \| 0.127 \| \| Tatoeba-test.fas-nld.fas.nld \| 50.0 \| 0.657 \| \| Tatoeba-test.fas-pol.fas.pol \| 4.5 \| 0.223 \| \| Tatoeba-test.fas-por.fas.por \| 8.6 \| 0.316 \| \| Tatoeba-test.fas-ron.fas.ron \| 19.1 \| 0.445 \| \| Tatoeba-test.fas-rus.fas.rus \| 9.8 \| 0.313 \| \| Tatoeba-test.fas-spa.fas.spa \| 9.1 \| 0.318 \| \| Tatoeba-test.fas-ukr.fas.ukr \| 4.8 \| 0.213 \| \| Tatoeba-test.fas-yid.fas.yid \| 2.0 \| 0.138 \| \| Tatoeba-test.fra-afr.fra.afr \| 49.7 \| 0.630 \| \| Tatoeba-test.fra-ang.fra.ang \| 1.0 \| 0.105 \| \| Tatoeba-test.fra-arg.fra.arg \| 0.0 \| 0.011 \| \| Tatoeba-test.fra-asm.fra.asm \| 4.1 \| 0.194 \| \| Tatoeba-test.fra-ast.fra.ast \| 23.0 \| 0.410 \| \| Tatoeba-test.fra-bel.fra.bel \| 22.2 \| 0.448 \| \| Tatoeba-test.fra-ben.fra.ben \| 6.4 \| 0.341 \| \| Tatoeba-test.fra-bho.fra.bho \| 1.2 \| 0.035 \| \| Tatoeba-test.fra-bre.fra.bre \| 3.4 \| 0.204 \| \| Tatoeba-test.fra-bul.fra.bul \| 31.2 \| 0.528 \| \| Tatoeba-test.fra-cat.fra.cat \| 33.9 \| 0.570 \| \| Tatoeba-test.fra-ces.fra.ces \| 26.9 \| 0.490 \| \| Tatoeba-test.fra-cor.fra.cor \| 0.2 \| 0.039 \| \| Tatoeba-test.fra-cos.fra.cos \| 0.3 \| 0.061 \| \| Tatoeba-test.fra-cym.fra.cym \| 17.3 \| 0.455 \| \| Tatoeba-test.fra-dan.fra.dan \| 47.1 \| 0.634 \| \| Tatoeba-test.fra-deu.fra.deu \| 31.1 \| 0.530 \| \| Tatoeba-test.fra-egl.fra.egl \| 0.7 \| 0.061 \| \| Tatoeba-test.fra-ell.fra.ell \| 32.4 \| 0.544 \| \| Tatoeba-test.fra-eng.fra.eng \| 40.1 \| 0.583 \| \| Tatoeba-test.fra-enm.fra.enm \| 5.1 \| 0.207 \| \| Tatoeba-test.fra-fao.fra.fao \| 1.8 \| 0.304 \| \| Tatoeba-test.fra-fas.fra.fas \| 5.6 \| 0.233 \| \| Tatoeba-test.fra-frm.fra.frm \| 0.3 \| 0.149 \| \| Tatoeba-test.fra-frr.fra.frr \| 6.4 \| 0.412 \| \| Tatoeba-test.fra-fry.fra.fry \| 11.4 \| 0.357 \| \| Tatoeba-test.fra-gcf.fra.gcf \| 0.1 \| 0.067 \| \| Tatoeba-test.fra-gla.fra.gla \| 9.1 \| 0.316 \| \| Tatoeba-test.fra-gle.fra.gle \| 16.8 \| 0.416 \| \| Tatoeba-test.fra-glg.fra.glg \| 34.5 \| 0.562 \| \| Tatoeba-test.fra-gos.fra.gos \| 5.5 \| 0.204 \| \| Tatoeba-test.fra-got.fra.got \| 0.2 \| 0.001 \| \| Tatoeba-test.fra-grc.fra.grc \| 0.1 \| 0.006 \| \| Tatoeba-test.fra-hat.fra.hat \| 20.8 \| 0.424 \| \| Tatoeba-test.fra-hbs.fra.hbs \| 28.9 \| 0.511 \| \| Tatoeba-test.fra-hin.fra.hin \| 5.1 \| 0.336 \| \| Tatoeba-test.fra-hye.fra.hye \| 11.5 \| 0.401 \| \| Tatoeba-test.fra-isl.fra.isl \| 17.2 \| 0.362 \| \| Tatoeba-test.fra-ita.fra.ita \| 37.7 \| 0.606 \| \| Tatoeba-test.fra-ksh.fra.ksh \| 2.8 \| 0.148 \| \| Tatoeba-test.fra-kur.fra.kur \| 14.3 \| 0.188 \| \| Tatoeba-test.fra-lad.fra.lad \| 0.4 \| 0.129 \| \| Tatoeba-test.fra-lat.fra.lat \| 2.8 \| 0.258 \| \| Tatoeba-test.fra-lav.fra.lav \| 30.3 \| 0.490 \| \| Tatoeba-test.fra-lij.fra.lij \| 0.3 \| 0.099 \| \| Tatoeba-test.fra-lit.fra.lit \| 18.3 \| 0.461 \| \| Tatoeba-test.fra-lld.fra.lld \| 0.6 \| 0.185 \| \| Tatoeba-test.fra-lmo.fra.lmo \| 1.2 \| 0.163 \| \| Tatoeba-test.fra-ltz.fra.ltz \| 15.3 \| 0.385 \| \| Tatoeba-test.fra-mar.fra.mar \| 45.7 \| 0.393 \| \| Tatoeba-test.fra-mkd.fra.mkd \| 29.5 \| 0.498 \| \| Tatoeba-test.fra-msa.fra.msa \| 19.4 \| 0.456 \| \| Tatoeba-test.fra-nds.fra.nds \| 12.9 \| 0.356 \| \| Tatoeba-test.fra-nld.fra.nld \| 33.0 \| 0.532 \| \| Tatoeba-test.fra-non.fra.non \| 1.2 \| 0.072 \| \| Tatoeba-test.fra-nor.fra.nor \| 35.1 \| 0.553 \| \| Tatoeba-test.fra-oci.fra.oci \| 6.8 \| 0.313 \| \| Tatoeba-test.fra-orv.fra.orv \| 0.2 \| 0.004 \| \| Tatoeba-test.fra-oss.fra.oss \| 3.6 \| 0.112 \| \| Tatoeba-test.fra-pap.fra.pap \| 78.3 \| 0.917 \| \| Tatoeba-test.fra-pcd.fra.pcd \| 0.1 \| 0.084 \| \| Tatoeba-test.fra-pms.fra.pms \| 0.3 \| 0.117 \| \| Tatoeba-test.fra-pol.fra.pol \| 22.4 \| 0.468 \| \| Tatoeba-test.fra-por.fra.por \| 33.0 \| 0.559 \| \| Tatoeba-test.fra-prg.fra.prg \| 0.6 \| 0.084 \| \| Tatoeba-test.fra-roh.fra.roh \| 5.9 \| 0.278 \| \| Tatoeba-test.fra-rom.fra.rom \| 4.2 \| 0.257 \| \| Tatoeba-test.fra-ron.fra.ron \| 29.7 \| 0.531 \| \| Tatoeba-test.fra-rus.fra.rus \| 28.8 \| 0.498 \| \| Tatoeba-test.fra-scn.fra.scn \| 0.4 \| 0.056 \| \| Tatoeba-test.fra-sco.fra.sco \| 1.7 \| 0.222 \| \| Tatoeba-test.fra-slv.fra.slv \| 2.4 \| 0.207 \| \| Tatoeba-test.fra-spa.fra.spa \| 38.6 \| 0.598 \| \| Tatoeba-test.fra-sqi.fra.sqi \| 23.9 \| 0.455 \| \| Tatoeba-test.fra-srd.fra.srd \| 1.2 \| 0.159 \| \| Tatoeba-test.fra-swe.fra.swe \| 44.2 \| 0.609 \| \| Tatoeba-test.fra-swg.fra.swg \| 2.4 \| 0.123 \| \| Tatoeba-test.fra-tgk.fra.tgk \| 2.8 \| 0.244 \| \| Tatoeba-test.fra-tly.fra.tly \| 0.5 \| 0.034 \| \| Tatoeba-test.fra-ukr.fra.ukr \| 26.7 \| 0.474 \| \| Tatoeba-test.fra-urd.fra.urd \| 2.3 \| 0.333 \| \| Tatoeba-test.fra-vec.fra.vec \| 0.6 \| 0.088 \| \| Tatoeba-test.fra-wln.fra.wln \| 5.3 \| 0.178 \| \| Tatoeba-test.fra-yid.fra.yid \| 8.7 \| 0.271 \| \| Tatoeba-test.frm-eng.frm.eng \| 19.2 \| 0.394 \| \| Tatoeba-test.frm-fra.frm.fra \| 12.3 \| 0.482 \| \| Tatoeba-test.frr-deu.frr.deu \| 8.3 \| 0.286 \| \| Tatoeba-test.frr-eng.frr.eng \| 6.1 \| 0.181 \| \| Tatoeba-test.frr-fra.frr.fra \| 12.7 \| 0.535 \| \| Tatoeba-test.frr-fry.frr.fry \| 4.1 \| 0.144 \| \| Tatoeba-test.frr-gos.frr.gos \| 0.5 \| 0.033 \| \| Tatoeba-test.frr-nds.frr.nds \| 12.4 \| 0.127 \| \| Tatoeba-test.frr-nld.frr.nld \| 6.9 \| 0.233 \| \| Tatoeba-test.frr-stq.frr.stq \| 0.5 \| 0.045 \| \| Tatoeba-test.fry-afr.fry.afr \| 0.0 \| 0.244 \| \| Tatoeba-test.fry-ces.fry.ces \| 4.2 \| 0.280 \| \| Tatoeba-test.fry-deu.fry.deu \| 21.7 \| 0.448 \| \| Tatoeba-test.fry-eng.fry.eng \| 22.9 \| 0.431 \| \| Tatoeba-test.fry-enm.fry.enm \| 10.7 \| 0.140 \| \| Tatoeba-test.fry-fra.fry.fra \| 31.8 \| 0.455 \| \| Tatoeba-test.fry-frr.fry.frr \| 0.5 \| 0.040 \| \| Tatoeba-test.fry-gos.fry.gos \| 0.7 \| 0.204 \| \| Tatoeba-test.fry-ita.fry.ita \| 34.8 \| 0.528 \| \| Tatoeba-test.fry-lat.fry.lat \| 8.1 \| 0.318 \| \| Tatoeba-test.fry-ltz.fry.ltz \| 21.4 \| 0.324 \| \| Tatoeba-test.fry-msa.fry.msa \| 0.1 \| 0.000 \| \| Tatoeba-test.fry-nds.fry.nds \| 6.6 \| 0.127 \| \| Tatoeba-test.fry-nld.fry.nld \| 35.7 \| 0.576 \| \| Tatoeba-test.fry-nor.fry.nor \| 32.6 \| 0.511 \| \| Tatoeba-test.fry-pol.fry.pol \| 17.7 \| 0.342 \| \| Tatoeba-test.fry-por.fry.por \| 12.1 \| 0.304 \| \| Tatoeba-test.fry-rus.fry.rus \| 31.7 \| 0.438 \| \| Tatoeba-test.fry-spa.fry.spa \| 30.6 \| 0.479 \| \| Tatoeba-test.fry-stq.fry.stq \| 0.5 \| 0.156 \| \| Tatoeba-test.fry-swe.fry.swe \| 27.5 \| 0.247 \| \| Tatoeba-test.fry-ukr.fry.ukr \| 16.1 \| 0.330 \| \| Tatoeba-test.fry-yid.fry.yid \| 4.0 \| 0.167 \| \| Tatoeba-test.gcf-eng.gcf.eng \| 13.2 \| 0.257 \| \| Tatoeba-test.gcf-fra.gcf.fra \| 6.0 \| 0.241 \| \| Tatoeba-test.gcf-lad.gcf.lad \| 0.0 \| 0.170 \| \| Tatoeba-test.gcf-por.gcf.por \| 0.0 \| 0.427 \| \| Tatoeba-test.gcf-rus.gcf.rus \| 0.0 \| 1.000 \| \| Tatoeba-test.gcf-spa.gcf.spa \| 31.8 \| 0.374 \| \| Tatoeba-test.gla-cym.gla.cym \| 11.5 \| 0.416 \| \| Tatoeba-test.gla-deu.gla.deu \| 15.1 \| 0.348 \| \| Tatoeba-test.gla-eng.gla.eng \| 17.5 \| 0.329 \| \| Tatoeba-test.gla-fra.gla.fra \| 13.1 \| 0.346 \| \| Tatoeba-test.gla-ita.gla.ita \| 12.1 \| 0.306 \| \| Tatoeba-test.gla-ksh.gla.ksh \| 8.0 \| 0.035 \| \| Tatoeba-test.gla-pol.gla.pol \| 20.8 \| 0.299 \| \| Tatoeba-test.gla-por.gla.por \| 13.7 \| 0.355 \| \| Tatoeba-test.gla-rus.gla.rus \| 24.7 \| 0.423 \| \| Tatoeba-test.gla-spa.gla.spa \| 12.7 \| 0.322 \| \| Tatoeba-test.gle-cym.gle.cym \| 7.8 \| 0.288 \| \| Tatoeba-test.gle-deu.gle.deu \| 13.5 \| 0.390 \| \| Tatoeba-test.gle-eng.gle.eng \| 32.0 \| 0.490 \| \| Tatoeba-test.gle-enm.gle.enm \| 5.0 \| 0.135 \| \| Tatoeba-test.gle-fra.gle.fra \| 18.0 \| 0.403 \| \| Tatoeba-test.gle-glv.gle.glv \| 16.9 \| 0.377 \| \| Tatoeba-test.gle-kur.gle.kur \| 0.0 \| 0.077 \| \| Tatoeba-test.gle-lad.gle.lad \| 2.4 \| 0.328 \| \| Tatoeba-test.gle-ron.gle.ron \| 0.0 \| 0.673 \| \| Tatoeba-test.gle-rus.gle.rus \| 2.5 \| 0.139 \| \| Tatoeba-test.gle-spa.gle.spa \| 24.5 \| 0.458 \| \| Tatoeba-test.gle-yid.gle.yid \| 13.3 \| 0.324 \| \| Tatoeba-test.glg-deu.glg.deu \| 30.4 \| 0.539 \| \| Tatoeba-test.glg-ell.glg.ell \| 30.2 \| 0.448 \| \| Tatoeba-test.glg-eng.glg.eng \| 37.9 \| 0.571 \| \| Tatoeba-test.glg-fra.glg.fra \| 45.8 \| 0.627 \| \| Tatoeba-test.glg-ita.glg.ita \| 31.1 \| 0.561 \| \| Tatoeba-test.glg-nld.glg.nld \| 36.2 \| 0.573 \| \| Tatoeba-test.glg-pol.glg.pol \| 22.7 \| 0.524 \| \| Tatoeba-test.glg-por.glg.por \| 47.4 \| 0.674 \| \| Tatoeba-test.glg-rus.glg.rus \| 28.4 \| 0.465 \| \| Tatoeba-test.glg-spa.glg.spa \| 53.2 \| 0.704 \| \| Tatoeba-test.glv-cym.glv.cym \| 1.4 \| 0.140 \| \| Tatoeba-test.glv-eng.glv.eng \| 3.2 \| 0.104 \| \| Tatoeba-test.glv-gle.glv.gle \| 9.9 \| 0.243 \| \| Tatoeba-test.gos-afr.gos.afr \| 6.2 \| 0.269 \| \| Tatoeba-test.gos-ang.gos.ang \| 0.0 \| 0.056 \| \| Tatoeba-test.gos-ast.gos.ast \| 6.6 \| 0.107 \| \| Tatoeba-test.gos-dan.gos.dan \| 12.0 \| 0.356 \| \| Tatoeba-test.gos-deu.gos.deu \| 15.7 \| 0.384 \| \| Tatoeba-test.gos-eng.gos.eng \| 14.8 \| 0.320 \| \| Tatoeba-test.gos-enm.gos.enm \| 4.1 \| 0.292 \| \| Tatoeba-test.gos-fao.gos.fao \| 19.0 \| 0.111 \| \| Tatoeba-test.gos-fra.gos.fra \| 8.4 \| 0.321 \| \| Tatoeba-test.gos-frr.gos.frr \| 0.9 \| 0.064 \| \| Tatoeba-test.gos-fry.gos.fry \| 13.5 \| 0.361 \| \| Tatoeba-test.gos-isl.gos.isl \| 8.2 \| 0.228 \| \| Tatoeba-test.gos-ita.gos.ita \| 31.9 \| 0.610 \| \| Tatoeba-test.gos-kur.gos.kur \| 0.0 \| 0.050 \| \| Tatoeba-test.gos-lad.gos.lad \| 0.5 \| 0.010 \| \| Tatoeba-test.gos-lat.gos.lat \| 4.5 \| 0.206 \| \| Tatoeba-test.gos-ltz.gos.ltz \| 4.2 \| 0.220 \| \| Tatoeba-test.gos-nds.gos.nds \| 3.9 \| 0.202 \| \| Tatoeba-test.gos-nld.gos.nld \| 16.8 \| 0.389 \| \| Tatoeba-test.gos-rus.gos.rus \| 5.2 \| 0.298 \| \| Tatoeba-test.gos-spa.gos.spa \| 24.7 \| 0.406 \| \| Tatoeba-test.gos-stq.gos.stq \| 0.4 \| 0.137 \| \| Tatoeba-test.gos-swe.gos.swe \| 16.8 \| 0.310 \| \| Tatoeba-test.gos-ukr.gos.ukr \| 5.4 \| 0.370 \| \| Tatoeba-test.gos-yid.gos.yid \| 4.3 \| 0.170 \| \| Tatoeba-test.got-deu.got.deu \| 0.6 \| 0.044 \| \| Tatoeba-test.got-eng.got.eng \| 0.1 \| 0.050 \| \| Tatoeba-test.got-fra.got.fra \| 0.2 \| 0.064 \| \| Tatoeba-test.got-nor.got.nor \| 3.1 \| 0.013 \| \| Tatoeba-test.got-spa.got.spa \| 0.2 \| 0.050 \| \| Tatoeba-test.grc-ces.grc.ces \| 2.7 \| 0.155 \| \| Tatoeba-test.grc-deu.grc.deu \| 4.7 \| 0.198 \| \| Tatoeba-test.grc-eng.grc.eng \| 1.9 \| 0.146 \| \| Tatoeba-test.grc-fra.grc.fra \| 12.8 \| 0.234 \| \| Tatoeba-test.grc-lat.grc.lat \| 0.5 \| 0.114 \| \| Tatoeba-test.grc-por.grc.por \| 0.8 \| 0.163 \| \| Tatoeba-test.grc-spa.grc.spa \| 2.4 \| 0.141 \| \| Tatoeba-test.gsw-deu.gsw.deu \| 12.6 \| 0.393 \| \| Tatoeba-test.gsw-eng.gsw.eng \| 15.9 \| 0.322 \| \| Tatoeba-test.gsw-spa.gsw.spa \| 19.0 \| 0.308 \| \| Tatoeba-test.guj-eng.guj.eng \| 15.9 \| 0.301 \| \| Tatoeba-test.guj-spa.guj.spa \| 14.7 \| 0.250 \| \| Tatoeba-test.hat-eng.hat.eng \| 38.5 \| 0.522 \| \| Tatoeba-test.hat-fra.hat.fra \| 17.6 \| 0.424 \| \| Tatoeba-test.hat-nld.hat.nld \| 32.0 \| 0.472 \| \| Tatoeba-test.hat-spa.hat.spa \| 31.2 \| 0.496 \| \| Tatoeba-test.hbs-bel.hbs.bel \| 40.1 \| 0.579 \| \| Tatoeba-test.hbs-bul.hbs.bul \| 100.0 \| 1.000 \| \| Tatoeba-test.hbs-ces.hbs.ces \| 27.8 \| 0.543 \| \| Tatoeba-test.hbs-deu.hbs.deu \| 32.9 \| 0.545 \| \| Tatoeba-test.hbs-eng.hbs.eng \| 38.6 \| 0.563 \| \| Tatoeba-test.hbs-enm.hbs.enm \| 2.3 \| 0.299 \| \| Tatoeba-test.hbs-fra.hbs.fra \| 33.3 \| 0.548 \| \| Tatoeba-test.hbs-ita.hbs.ita \| 37.9 \| 0.602 \| \| Tatoeba-test.hbs-lat.hbs.lat \| 9.8 \| 0.289 \| \| Tatoeba-test.hbs-mkd.hbs.mkd \| 38.0 \| 0.718 \| \| Tatoeba-test.hbs-nor.hbs.nor \| 31.8 \| 0.528 \| \| Tatoeba-test.hbs-pol.hbs.pol \| 31.7 \| 0.548 \| \| Tatoeba-test.hbs-por.hbs.por \| 28.1 \| 0.484 \| \| Tatoeba-test.hbs-rus.hbs.rus \| 38.9 \| 0.596 \| \| Tatoeba-test.hbs-spa.hbs.spa \| 38.6 \| 0.589 \| \| Tatoeba-test.hbs-swe.hbs.swe \| 100.0 \| 1.000 \| \| Tatoeba-test.hbs-ukr.hbs.ukr \| 36.0 \| 0.557 \| \| Tatoeba-test.hbs-urd.hbs.urd \| 8.1 \| 0.441 \| \| Tatoeba-test.hif-eng.hif.eng \| 8.9 \| 0.439 \| \| Tatoeba-test.hin-asm.hin.asm \| 8.8 \| 0.288 \| \| Tatoeba-test.hin-deu.hin.deu \| 26.1 \| 0.414 \| \| Tatoeba-test.hin-eng.hin.eng \| 25.5 \| 0.440 \| \| Tatoeba-test.hin-fra.hin.fra \| 30.1 \| 0.449 \| \| Tatoeba-test.hin-mar.hin.mar \| 12.6 \| 0.412 \| \| Tatoeba-test.hin-nor.hin.nor \| 9.9 \| 0.416 \| \| Tatoeba-test.hin-pol.hin.pol \| 8.4 \| 0.289 \| \| Tatoeba-test.hin-rus.hin.rus \| 21.2 \| 0.395 \| \| Tatoeba-test.hin-spa.hin.spa \| 25.9 \| 0.384 \| \| Tatoeba-test.hin-swe.hin.swe \| 100.0 \| 1.000 \| \| Tatoeba-test.hin-urd.hin.urd \| 10.4 \| 0.376 \| \| Tatoeba-test.hsb-ces.hsb.ces \| 18.1 \| 0.373 \| \| Tatoeba-test.hsb-deu.hsb.deu \| 24.4 \| 0.467 \| \| Tatoeba-test.hsb-eng.hsb.eng \| 42.9 \| 0.583 \| \| Tatoeba-test.hsb-spa.hsb.spa \| 19.5 \| 0.444 \| \| Tatoeba-test.hye-deu.hye.deu \| 11.6 \| 0.323 \| \| Tatoeba-test.hye-eng.hye.eng \| 22.1 \| 0.398 \| \| Tatoeba-test.hye-fra.hye.fra \| 32.1 \| 0.386 \| \| Tatoeba-test.hye-rus.hye.rus \| 21.9 \| 0.407 \| \| Tatoeba-test.hye-spa.hye.spa \| 29.3 \| 0.476 \| \| Tatoeba-test.isl-afr.isl.afr \| 40.5 \| 0.708 \| \| Tatoeba-test.isl-ang.isl.ang \| 0.0 \| 0.034 \| \| Tatoeba-test.isl-dan.isl.dan \| 38.1 \| 0.582 \| \| Tatoeba-test.isl-deu.isl.deu \| 31.8 \| 0.511 \| \| Tatoeba-test.isl-eng.isl.eng \| 29.8 \| 0.483 \| \| Tatoeba-test.isl-enm.isl.enm \| 39.8 \| 0.336 \| \| Tatoeba-test.isl-fao.isl.fao \| 26.3 \| 0.441 \| \| Tatoeba-test.isl-fra.isl.fra \| 27.3 \| 0.469 \| \| Tatoeba-test.isl-gos.isl.gos \| 1.9 \| 0.047 \| \| Tatoeba-test.isl-ita.isl.ita \| 28.9 \| 0.501 \| \| Tatoeba-test.isl-lat.isl.lat \| 2.6 \| 0.135 \| \| Tatoeba-test.isl-lav.isl.lav \| 59.6 \| 0.740 \| \| Tatoeba-test.isl-msa.isl.msa \| 0.1 \| 0.012 \| \| Tatoeba-test.isl-nor.isl.nor \| 40.2 \| 0.566 \| \| Tatoeba-test.isl-pol.isl.pol \| 19.7 \| 0.358 \| \| Tatoeba-test.isl-por.isl.por \| 17.4 \| 0.465 \| \| Tatoeba-test.isl-rus.isl.rus \| 18.0 \| 0.386 \| \| Tatoeba-test.isl-spa.isl.spa \| 30.7 \| 0.496 \| \| Tatoeba-test.isl-stq.isl.stq \| 10.7 \| 0.133 \| \| Tatoeba-test.isl-swe.isl.swe \| 38.1 \| 0.539 \| \| Tatoeba-test.ita-afr.ita.afr \| 53.2 \| 0.676 \| \| Tatoeba-test.ita-ang.ita.ang \| 3.8 \| 0.125 \| \| Tatoeba-test.ita-asm.ita.asm \| 3.4 \| 0.252 \| \| Tatoeba-test.ita-bel.ita.bel \| 24.2 \| 0.460 \| \| Tatoeba-test.ita-ben.ita.ben \| 12.1 \| 0.427 \| \| Tatoeba-test.ita-bre.ita.bre \| 4.7 \| 0.287 \| \| Tatoeba-test.ita-bul.ita.bul \| 27.8 \| 0.482 \| \| Tatoeba-test.ita-cat.ita.cat \| 40.6 \| 0.608 \| \| Tatoeba-test.ita-ces.ita.ces \| 23.1 \| 0.450 \| \| Tatoeba-test.ita-cor.ita.cor \| 0.8 \| 0.060 \| \| Tatoeba-test.ita-cym.ita.cym \| 10.1 \| 0.375 \| \| Tatoeba-test.ita-dan.ita.dan \| 38.9 \| 0.577 \| \| Tatoeba-test.ita-deu.ita.deu \| 31.7 \| 0.539 \| \| Tatoeba-test.ita-egl.ita.egl \| 0.2 \| 0.061 \| \| Tatoeba-test.ita-ell.ita.ell \| 31.5 \| 0.539 \| \| Tatoeba-test.ita-eng.ita.eng \| 47.4 \| 0.633 \| \| Tatoeba-test.ita-enm.ita.enm \| 6.4 \| 0.247 \| \| Tatoeba-test.ita-fas.ita.fas \| 4.2 \| 0.236 \| \| Tatoeba-test.ita-fra.ita.fra \| 46.6 \| 0.642 \| \| Tatoeba-test.ita-fry.ita.fry \| 20.0 \| 0.409 \| \| Tatoeba-test.ita-gla.ita.gla \| 7.8 \| 0.312 \| \| Tatoeba-test.ita-glg.ita.glg \| 36.3 \| 0.577 \| \| Tatoeba-test.ita-gos.ita.gos \| 1.1 \| 0.030 \| \| Tatoeba-test.ita-hbs.ita.hbs \| 39.4 \| 0.595 \| \| Tatoeba-test.ita-isl.ita.isl \| 18.5 \| 0.408 \| \| Tatoeba-test.ita-kur.ita.kur \| 1.9 \| 0.160 \| \| Tatoeba-test.ita-lad.ita.lad \| 1.0 \| 0.178 \| \| Tatoeba-test.ita-lat.ita.lat \| 7.1 \| 0.320 \| \| Tatoeba-test.ita-lav.ita.lav \| 29.0 \| 0.511 \| \| Tatoeba-test.ita-lij.ita.lij \| 0.2 \| 0.107 \| \| Tatoeba-test.ita-lit.ita.lit \| 20.7 \| 0.475 \| \| Tatoeba-test.ita-ltz.ita.ltz \| 20.6 \| 0.373 \| \| Tatoeba-test.ita-msa.ita.msa \| 14.3 \| 0.409 \| \| Tatoeba-test.ita-nds.ita.nds \| 13.3 \| 0.378 \| \| Tatoeba-test.ita-nld.ita.nld \| 37.8 \| 0.578 \| \| Tatoeba-test.ita-nor.ita.nor \| 35.7 \| 0.578 \| \| Tatoeba-test.ita-oci.ita.oci \| 11.0 \| 0.369 \| \| Tatoeba-test.ita-orv.ita.orv \| 1.2 \| 0.010 \| \| Tatoeba-test.ita-pms.ita.pms \| 0.2 \| 0.110 \| \| Tatoeba-test.ita-pol.ita.pol \| 25.9 \| 0.507 \| \| Tatoeba-test.ita-por.ita.por \| 36.8 \| 0.597 \| \| Tatoeba-test.ita-ron.ita.ron \| 34.3 \| 0.574 \| \| Tatoeba-test.ita-rus.ita.rus \| 28.5 \| 0.494 \| \| Tatoeba-test.ita-slv.ita.slv \| 11.7 \| 0.364 \| \| Tatoeba-test.ita-spa.ita.spa \| 46.3 \| 0.653 \| \| Tatoeba-test.ita-sqi.ita.sqi \| 21.9 \| 0.418 \| \| Tatoeba-test.ita-swe.ita.swe \| 37.7 \| 0.562 \| \| Tatoeba-test.ita-ukr.ita.ukr \| 33.1 \| 0.538 \| \| Tatoeba-test.ita-vec.ita.vec \| 0.8 \| 0.095 \| \| Tatoeba-test.ita-yid.ita.yid \| 10.3 \| 0.280 \| \| Tatoeba-test.jdt-eng.jdt.eng \| 3.9 \| 0.098 \| \| Tatoeba-test.kok-eng.kok.eng \| 5.0 \| 0.217 \| \| Tatoeba-test.ksh-deu.ksh.deu \| 12.2 \| 0.357 \| \| Tatoeba-test.ksh-eng.ksh.eng \| 4.1 \| 0.237 \| \| Tatoeba-test.ksh-enm.ksh.enm \| 5.3 \| 0.299 \| \| Tatoeba-test.ksh-fra.ksh.fra \| 15.3 \| 0.322 \| \| Tatoeba-test.ksh-gla.ksh.gla \| 0.0 \| 0.095 \| \| Tatoeba-test.ksh-spa.ksh.spa \| 11.3 \| 0.272 \| \| Tatoeba-test.kur-ang.kur.ang \| 0.0 \| 0.069 \| \| Tatoeba-test.kur-bel.kur.bel \| 35.4 \| 0.540 \| \| Tatoeba-test.kur-dan.kur.dan \| 24.3 \| 0.509 \| \| Tatoeba-test.kur-deu.kur.deu \| 12.0 \| 0.226 \| \| Tatoeba-test.kur-eng.kur.eng \| 10.0 \| 0.205 \| \| Tatoeba-test.kur-enm.kur.enm \| 5.5 \| 0.048 \| \| Tatoeba-test.kur-fra.kur.fra \| 16.5 \| 0.236 \| \| Tatoeba-test.kur-gle.kur.gle \| 7.6 \| 0.081 \| \| Tatoeba-test.kur-gos.kur.gos \| 1.6 \| 0.013 \| \| Tatoeba-test.kur-ita.kur.ita \| 11.4 \| 0.362 \| \| Tatoeba-test.kur-lad.kur.lad \| 0.2 \| 0.067 \| \| Tatoeba-test.kur-lat.kur.lat \| 6.1 \| 0.240 \| \| Tatoeba-test.kur-lld.kur.lld \| 1.9 \| 0.161 \| \| Tatoeba-test.kur-nld.kur.nld \| 3.3 \| 0.155 \| \| Tatoeba-test.kur-nor.kur.nor \| 31.9 \| 0.184 \| \| Tatoeba-test.kur-pol.kur.pol \| 5.0 \| 0.230 \| \| Tatoeba-test.kur-por.kur.por \| 37.0 \| 0.295 \| \| Tatoeba-test.kur-rus.kur.rus \| 1.3 \| 0.184 \| \| Tatoeba-test.kur-spa.kur.spa \| 39.1 \| 0.426 \| \| Tatoeba-test.kur-swe.kur.swe \| 4.3 \| 0.206 \| \| Tatoeba-test.kur-yid.kur.yid \| 2.1 \| 0.164 \| \| Tatoeba-test.lad-ang.lad.ang \| 1.4 \| 0.046 \| \| Tatoeba-test.lad-bel.lad.bel \| 9.7 \| 0.330 \| \| Tatoeba-test.lad-bul.lad.bul \| 35.4 \| 0.529 \| \| Tatoeba-test.lad-ces.lad.ces \| 33.1 \| 0.604 \| \| Tatoeba-test.lad-dan.lad.dan \| 15.4 \| 0.325 \| \| Tatoeba-test.lad-deu.lad.deu \| 19.3 \| 0.405 \| \| Tatoeba-test.lad-eng.lad.eng \| 23.1 \| 0.421 \| \| Tatoeba-test.lad-enm.lad.enm \| 2.2 \| 0.173 \| \| Tatoeba-test.lad-fas.lad.fas \| 5.2 \| 0.194 \| \| Tatoeba-test.lad-fra.lad.fra \| 26.3 \| 0.405 \| \| Tatoeba-test.lad-gcf.lad.gcf \| 0.0 \| 0.170 \| \| Tatoeba-test.lad-gle.lad.gle \| 21.4 \| 0.347 \| \| Tatoeba-test.lad-gos.lad.gos \| 1.2 \| 0.058 \| \| Tatoeba-test.lad-ita.lad.ita \| 22.7 \| 0.479 \| \| Tatoeba-test.lad-kur.lad.kur \| 2.4 \| 0.190 \| \| Tatoeba-test.lad-lat.lad.lat \| 3.4 \| 0.239 \| \| Tatoeba-test.lad-ltz.lad.ltz \| 45.5 \| 0.580 \| \| Tatoeba-test.lad-nds.lad.nds \| 23.0 \| 0.690 \| \| Tatoeba-test.lad-nld.lad.nld \| 33.5 \| 0.449 \| \| Tatoeba-test.lad-nor.lad.nor \| 66.9 \| 0.951 \| \| Tatoeba-test.lad-pol.lad.pol \| 0.0 \| 0.076 \| \| Tatoeba-test.lad-por.lad.por \| 27.5 \| 0.448 \| \| Tatoeba-test.lad-ron.lad.ron \| 78.3 \| 0.693 \| \| Tatoeba-test.lad-rus.lad.rus \| 6.5 \| 0.308 \| \| Tatoeba-test.lad-sco.lad.sco \| 0.0 \| 0.179 \| \| Tatoeba-test.lad-slv.lad.slv \| 59.5 \| 0.602 \| \| Tatoeba-test.lad-spa.lad.spa \| 37.0 \| 0.553 \| \| Tatoeba-test.lad-swe.lad.swe \| 66.9 \| 0.783 \| \| Tatoeba-test.lad-ukr.lad.ukr \| 8.1 \| 0.282 \| \| Tatoeba-test.lad-yid.lad.yid \| 4.8 \| 0.212 \| \| Tatoeba-test.lah-eng.lah.eng \| 5.0 \| 0.237 \| \| Tatoeba-test.lat-afr.lat.afr \| 100.0 \| 1.000 \| \| Tatoeba-test.lat-ang.lat.ang \| 0.9 \| 0.068 \| \| Tatoeba-test.lat-bel.lat.bel \| 10.6 \| 0.284 \| \| Tatoeba-test.lat-bul.lat.bul \| 27.5 \| 0.481 \| \| Tatoeba-test.lat-ces.lat.ces \| 15.6 \| 0.331 \| \| Tatoeba-test.lat-cym.lat.cym \| 2.9 \| 0.203 \| \| Tatoeba-test.lat-dan.lat.dan \| 29.4 \| 0.479 \| \| Tatoeba-test.lat-deu.lat.deu \| 19.9 \| 0.391 \| \| Tatoeba-test.lat-eng.lat.eng \| 20.5 \| 0.396 \| \| Tatoeba-test.lat-enm.lat.enm \| 1.0 \| 0.082 \| \| Tatoeba-test.lat-fas.lat.fas \| 7.9 \| 0.407 \| \| Tatoeba-test.lat-fra.lat.fra \| 9.3 \| 0.286 \| \| Tatoeba-test.lat-fry.lat.fry \| 7.1 \| 0.192 \| \| Tatoeba-test.lat-gos.lat.gos \| 3.6 \| 0.150 \| \| Tatoeba-test.lat-grc.lat.grc \| 0.2 \| 0.001 \| \| Tatoeba-test.lat-hbs.lat.hbs \| 15.1 \| 0.322 \| \| Tatoeba-test.lat-isl.lat.isl \| 8.3 \| 0.108 \| \| Tatoeba-test.lat-ita.lat.ita \| 20.7 \| 0.415 \| \| Tatoeba-test.lat-kur.lat.kur \| 7.9 \| 0.260 \| \| Tatoeba-test.lat-lad.lat.lad \| 0.2 \| 0.087 \| \| Tatoeba-test.lat-lit.lat.lit \| 5.6 \| 0.301 \| \| Tatoeba-test.lat-ltz.lat.ltz \| 10.2 \| 0.352 \| \| Tatoeba-test.lat-nld.lat.nld \| 24.3 \| 0.444 \| \| Tatoeba-test.lat-nor.lat.nor \| 14.5 \| 0.338 \| \| Tatoeba-test.lat-orv.lat.orv \| 0.1 \| 0.006 \| \| Tatoeba-test.lat-pol.lat.pol \| 21.8 \| 0.412 \| \| Tatoeba-test.lat-por.lat.por \| 12.2 \| 0.336 \| \| Tatoeba-test.lat-ron.lat.ron \| 12.7 \| 0.343 \| \| Tatoeba-test.lat-rus.lat.rus \| 16.6 \| 0.362 \| \| Tatoeba-test.lat-sco.lat.sco \| 3.2 \| 0.215 \| \| Tatoeba-test.lat-spa.lat.spa \| 18.9 \| 0.414 \| \| Tatoeba-test.lat-swe.lat.swe \| 53.4 \| 0.708 \| \| Tatoeba-test.lat-ukr.lat.ukr \| 14.0 \| 0.343 \| \| Tatoeba-test.lat-yid.lat.yid \| 2.1 \| 0.182 \| \| Tatoeba-test.lav-dan.lav.dan \| 100.0 \| 1.000 \| \| Tatoeba-test.lav-deu.lav.deu \| 34.5 \| 0.540 \| \| Tatoeba-test.lav-eng.lav.eng \| 33.6 \| 0.520 \| \| Tatoeba-test.lav-fra.lav.fra \| 40.5 \| 0.598 \| \| Tatoeba-test.lav-isl.lav.isl \| 72.7 \| 0.770 \| \| Tatoeba-test.lav-ita.lav.ita \| 30.5 \| 0.570 \| \| Tatoeba-test.lav-lav.lav.lav \| 5.7 \| 0.362 \| \| Tatoeba-test.lav-lit.lav.lit \| 23.5 \| 0.504 \| \| Tatoeba-test.lav-mkd.lav.mkd \| 13.7 \| 0.550 \| \| Tatoeba-test.lav-pol.lav.pol \| 37.6 \| 0.551 \| \| Tatoeba-test.lav-rus.lav.rus \| 32.5 \| 0.517 \| \| Tatoeba-test.lav-slv.lav.slv \| 8.6 \| 0.483 \| \| Tatoeba-test.lav-spa.lav.spa \| 26.6 \| 0.511 \| \| Tatoeba-test.lav-swe.lav.swe \| 95.1 \| 0.958 \| \| Tatoeba-test.lav-ukr.lav.ukr \| 9.0 \| 0.488 \| \| Tatoeba-test.lij-eng.lij.eng \| 6.8 \| 0.251 \| \| Tatoeba-test.lij-fra.lij.fra \| 12.2 \| 0.329 \| \| Tatoeba-test.lij-ita.lij.ita \| 10.4 \| 0.366 \| \| Tatoeba-test.lit-deu.lit.deu \| 25.7 \| 0.472 \| \| Tatoeba-test.lit-eng.lit.eng \| 37.5 \| 0.551 \| \| Tatoeba-test.lit-fra.lit.fra \| 32.1 \| 0.489 \| \| Tatoeba-test.lit-ita.lit.ita \| 22.3 \| 0.460 \| \| Tatoeba-test.lit-lat.lit.lat \| 7.4 \| 0.195 \| \| Tatoeba-test.lit-lav.lit.lav \| 22.6 \| 0.378 \| \| Tatoeba-test.lit-mkd.lit.mkd \| 9.7 \| 0.282 \| \| Tatoeba-test.lit-msa.lit.msa \| 7.2 \| 0.374 \| \| Tatoeba-test.lit-pol.lit.pol \| 30.9 \| 0.529 \| \| Tatoeba-test.lit-por.lit.por \| 25.0 \| 0.439 \| \| Tatoeba-test.lit-rus.lit.rus \| 30.6 \| 0.504 \| \| Tatoeba-test.lit-slv.lit.slv \| 8.6 \| 0.331 \| \| Tatoeba-test.lit-spa.lit.spa \| 32.9 \| 0.516 \| \| Tatoeba-test.lit-ukr.lit.ukr \| 19.6 \| 0.371 \| \| Tatoeba-test.lit-yid.lit.yid \| 6.5 \| 0.360 \| \| Tatoeba-test.lld-eng.lld.eng \| 13.7 \| 0.310 \| \| Tatoeba-test.lld-fra.lld.fra \| 13.1 \| 0.368 \| \| Tatoeba-test.lld-kur.lld.kur \| 3.4 \| 0.064 \| \| Tatoeba-test.lld-spa.lld.spa \| 9.3 \| 0.351 \| \| Tatoeba-test.lmo-eng.lmo.eng \| 22.3 \| 0.323 \| \| Tatoeba-test.lmo-fra.lmo.fra \| 10.9 \| 0.333 \| \| Tatoeba-test.ltz-afr.ltz.afr \| 49.5 \| 0.589 \| \| Tatoeba-test.ltz-ang.ltz.ang \| 0.0 \| 0.051 \| \| Tatoeba-test.ltz-ces.ltz.ces \| 9.7 \| 0.353 \| \| Tatoeba-test.ltz-dan.ltz.dan \| 65.1 \| 0.463 \| \| Tatoeba-test.ltz-deu.ltz.deu \| 35.6 \| 0.533 \| \| Tatoeba-test.ltz-eng.ltz.eng \| 33.7 \| 0.448 \| \| Tatoeba-test.ltz-fra.ltz.fra \| 24.3 \| 0.451 \| \| Tatoeba-test.ltz-fry.ltz.fry \| 23.4 \| 0.621 \| \| Tatoeba-test.ltz-gos.ltz.gos \| 0.5 \| 0.104 \| \| Tatoeba-test.ltz-ita.ltz.ita \| 14.2 \| 0.412 \| \| Tatoeba-test.ltz-lad.ltz.lad \| 7.8 \| 0.179 \| \| Tatoeba-test.ltz-lat.ltz.lat \| 7.6 \| 0.106 \| \| Tatoeba-test.ltz-nld.ltz.nld \| 32.4 \| 0.488 \| \| Tatoeba-test.ltz-nor.ltz.nor \| 27.8 \| 0.599 \| \| Tatoeba-test.ltz-por.ltz.por \| 12.7 \| 0.319 \| \| Tatoeba-test.ltz-rus.ltz.rus \| 18.0 \| 0.392 \| \| Tatoeba-test.ltz-spa.ltz.spa \| 15.6 \| 0.458 \| \| Tatoeba-test.ltz-stq.ltz.stq \| 0.6 \| 0.065 \| \| Tatoeba-test.ltz-swe.ltz.swe \| 32.5 \| 0.403 \| \| Tatoeba-test.ltz-yid.ltz.yid \| 1.4 \| 0.236 \| \| Tatoeba-test.mai-eng.mai.eng \| 49.8 \| 0.429 \| \| Tatoeba-test.mai-spa.mai.spa \| 18.6 \| 0.460 \| \| Tatoeba-test.mar-dan.mar.dan \| 5.1 \| 0.230 \| \| Tatoeba-test.mar-deu.mar.deu \| 14.2 \| 0.379 \| \| Tatoeba-test.mar-eng.mar.eng \| 20.0 \| 0.422 \| \| Tatoeba-test.mar-fra.mar.fra \| 40.7 \| 0.470 \| \| Tatoeba-test.mar-hin.mar.hin \| 7.3 \| 0.407 \| \| Tatoeba-test.mar-rus.mar.rus \| 35.4 \| 0.638 \| \| Tatoeba-test.mfe-eng.mfe.eng \| 49.0 \| 0.615 \| \| Tatoeba-test.mkd-afr.mkd.afr \| 42.7 \| 0.655 \| \| Tatoeba-test.mkd-bel.mkd.bel \| 9.7 \| 0.362 \| \| Tatoeba-test.mkd-bul.mkd.bul \| 61.6 \| 0.819 \| \| Tatoeba-test.mkd-ces.mkd.ces \| 15.0 \| 0.506 \| \| Tatoeba-test.mkd-deu.mkd.deu \| 31.0 \| 0.548 \| \| Tatoeba-test.mkd-eng.mkd.eng \| 35.8 \| 0.524 \| \| Tatoeba-test.mkd-fra.mkd.fra \| 30.2 \| 0.486 \| \| Tatoeba-test.mkd-hbs.mkd.hbs \| 32.5 \| 0.589 \| \| Tatoeba-test.mkd-lav.mkd.lav \| 16.6 \| 0.557 \| \| Tatoeba-test.mkd-lit.mkd.lit \| 11.6 \| 0.395 \| \| Tatoeba-test.mkd-nld.mkd.nld \| 42.7 \| 0.680 \| \| Tatoeba-test.mkd-pol.mkd.pol \| 53.7 \| 0.833 \| \| Tatoeba-test.mkd-por.mkd.por \| 10.1 \| 0.492 \| \| Tatoeba-test.mkd-ron.mkd.ron \| 9.7 \| 0.196 \| \| Tatoeba-test.mkd-rus.mkd.rus \| 24.7 \| 0.727 \| \| Tatoeba-test.mkd-spa.mkd.spa \| 43.2 \| 0.601 \| \| Tatoeba-test.mkd-swe.mkd.swe \| 23.6 \| 0.361 \| \| Tatoeba-test.mkd-ukr.mkd.ukr \| 42.7 \| 0.864 \| \| Tatoeba-test.msa-afr.msa.afr \| 3.4 \| 0.323 \| \| Tatoeba-test.msa-bel.msa.bel \| 17.1 \| 0.418 \| \| Tatoeba-test.msa-bre.msa.bre \| 1.8 \| 0.199 \| \| Tatoeba-test.msa-bul.msa.bul \| 11.9 \| 0.258 \| \| Tatoeba-test.msa-ces.msa.ces \| 3.4 \| 0.115 \| \| Tatoeba-test.msa-cym.msa.cym \| 0.0 \| 0.000 \| \| Tatoeba-test.msa-deu.msa.deu \| 23.5 \| 0.470 \| \| Tatoeba-test.msa-ell.msa.ell \| 19.7 \| 0.490 \| \| Tatoeba-test.msa-eng.msa.eng \| 27.8 \| 0.472 \| \| Tatoeba-test.msa-fao.msa.fao \| 2.0 \| 0.232 \| \| Tatoeba-test.msa-fas.msa.fas \| 5.9 \| 0.241 \| \| Tatoeba-test.msa-fra.msa.fra \| 25.9 \| 0.465 \| \| Tatoeba-test.msa-fry.msa.fry \| 1.7 \| 0.195 \| \| Tatoeba-test.msa-isl.msa.isl \| 3.4 \| 0.228 \| \| Tatoeba-test.msa-ita.msa.ita \| 23.4 \| 0.481 \| \| Tatoeba-test.msa-lit.msa.lit \| 11.5 \| 0.304 \| \| Tatoeba-test.msa-msa.msa.msa \| 5.8 \| 0.243 \| \| Tatoeba-test.msa-nld.msa.nld \| 20.9 \| 0.442 \| \| Tatoeba-test.msa-nor.msa.nor \| 14.8 \| 0.431 \| \| Tatoeba-test.msa-pap.msa.pap \| 83.8 \| 0.946 \| \| Tatoeba-test.msa-pol.msa.pol \| 9.1 \| 0.349 \| \| Tatoeba-test.msa-por.msa.por \| 15.4 \| 0.385 \| \| Tatoeba-test.msa-ron.msa.ron \| 3.4 \| 0.195 \| \| Tatoeba-test.msa-rus.msa.rus \| 18.8 \| 0.401 \| \| Tatoeba-test.msa-san.msa.san \| 0.0 \| 0.056 \| \| Tatoeba-test.msa-spa.msa.spa \| 22.6 \| 0.451 \| \| Tatoeba-test.msa-ukr.msa.ukr \| 5.7 \| 0.267 \| \| Tatoeba-test.msa-urd.msa.urd \| 8.0 \| 0.102 \| \| Tatoeba-test.multi.multi \| 30.8 \| 0.509 \| \| Tatoeba-test.mwl-eng.mwl.eng \| 22.8 \| 0.416 \| \| Tatoeba-test.mwl-enm.mwl.enm \| 7.0 \| 0.321 \| \| Tatoeba-test.mwl-por.mwl.por \| 35.4 \| 0.561 \| \| Tatoeba-test.nds-ast.nds.ast \| 42.7 \| 0.835 \| \| Tatoeba-test.nds-ces.nds.ces \| 38.3 \| 0.491 \| \| Tatoeba-test.nds-dan.nds.dan \| 18.5 \| 0.399 \| \| Tatoeba-test.nds-deu.nds.deu \| 32.6 \| 0.552 \| \| Tatoeba-test.nds-ell.nds.ell \| 18.1 \| 0.426 \| \| Tatoeba-test.nds-eng.nds.eng \| 28.9 \| 0.480 \| \| Tatoeba-test.nds-enm.nds.enm \| 6.9 \| 0.198 \| \| Tatoeba-test.nds-fas.nds.fas \| 6.6 \| 0.187 \| \| Tatoeba-test.nds-fra.nds.fra \| 31.9 \| 0.498 \| \| Tatoeba-test.nds-frr.nds.frr \| 0.5 \| 0.000 \| \| Tatoeba-test.nds-fry.nds.fry \| 0.0 \| 0.023 \| \| Tatoeba-test.nds-gos.nds.gos \| 1.2 \| 0.148 \| \| Tatoeba-test.nds-ita.nds.ita \| 28.5 \| 0.505 \| \| Tatoeba-test.nds-lad.nds.lad \| 7.8 \| 0.164 \| \| Tatoeba-test.nds-nld.nds.nld \| 38.2 \| 0.584 \| \| Tatoeba-test.nds-nor.nds.nor \| 42.8 \| 0.612 \| \| Tatoeba-test.nds-pol.nds.pol \| 15.3 \| 0.405 \| \| Tatoeba-test.nds-por.nds.por \| 26.0 \| 0.447 \| \| Tatoeba-test.nds-ron.nds.ron \| 0.0 \| 0.353 \| \| Tatoeba-test.nds-rus.nds.rus \| 24.3 \| 0.440 \| \| Tatoeba-test.nds-spa.nds.spa \| 31.7 \| 0.527 \| \| Tatoeba-test.nds-swg.nds.swg \| 0.1 \| 0.080 \| \| Tatoeba-test.nds-ukr.nds.ukr \| 20.1 \| 0.464 \| \| Tatoeba-test.nds-yid.nds.yid \| 42.8 \| 0.365 \| \| Tatoeba-test.nep-eng.nep.eng \| 2.1 \| 0.161 \| \| Tatoeba-test.nld-afr.nld.afr \| 50.1 \| 0.670 \| \| Tatoeba-test.nld-ast.nld.ast \| 42.7 \| 0.835 \| \| Tatoeba-test.nld-bel.nld.bel \| 17.5 \| 0.410 \| \| Tatoeba-test.nld-bre.nld.bre \| 3.2 \| 0.189 \| \| Tatoeba-test.nld-bul.nld.bul \| 28.7 \| 0.468 \| \| Tatoeba-test.nld-cat.nld.cat \| 31.9 \| 0.546 \| \| Tatoeba-test.nld-ces.nld.ces \| 24.4 \| 0.504 \| \| Tatoeba-test.nld-cor.nld.cor \| 0.6 \| 0.048 \| \| Tatoeba-test.nld-dan.nld.dan \| 49.1 \| 0.660 \| \| Tatoeba-test.nld-deu.nld.deu \| 38.3 \| 0.589 \| \| Tatoeba-test.nld-dsb.nld.dsb \| 0.2 \| 0.084 \| \| Tatoeba-test.nld-ell.nld.ell \| 35.3 \| 0.528 \| \| Tatoeba-test.nld-eng.nld.eng \| 42.4 \| 0.602 \| \| Tatoeba-test.nld-enm.nld.enm \| 6.1 \| 0.269 \| \| Tatoeba-test.nld-fas.nld.fas \| 18.6 \| 0.459 \| \| Tatoeba-test.nld-fra.nld.fra \| 35.7 \| 0.549 \| \| Tatoeba-test.nld-frr.nld.frr \| 2.8 \| 0.099 \| \| Tatoeba-test.nld-fry.nld.fry \| 19.2 \| 0.438 \| \| Tatoeba-test.nld-glg.nld.glg \| 35.0 \| 0.576 \| \| Tatoeba-test.nld-gos.nld.gos \| 0.5 \| 0.129 \| \| Tatoeba-test.nld-hat.nld.hat \| 26.8 \| 0.418 \| \| Tatoeba-test.nld-ita.nld.ita \| 35.3 \| 0.580 \| \| Tatoeba-test.nld-kur.nld.kur \| 4.2 \| 0.147 \| \| Tatoeba-test.nld-lad.nld.lad \| 0.7 \| 0.101 \| \| Tatoeba-test.nld-lat.nld.lat \| 6.7 \| 0.314 \| \| Tatoeba-test.nld-ltz.nld.ltz \| 17.6 \| 0.384 \| \| Tatoeba-test.nld-mkd.nld.mkd \| 0.0 \| 0.238 \| \| Tatoeba-test.nld-msa.nld.msa \| 3.6 \| 0.210 \| \| Tatoeba-test.nld-nds.nld.nds \| 15.9 \| 0.405 \| \| Tatoeba-test.nld-nor.nld.nor \| 42.4 \| 0.618 \| \| Tatoeba-test.nld-oci.nld.oci \| 9.0 \| 0.306 \| \| Tatoeba-test.nld-pap.nld.pap \| 38.9 \| 0.531 \| \| Tatoeba-test.nld-pol.nld.pol \| 25.8 \| 0.498 \| \| Tatoeba-test.nld-por.nld.por \| 31.7 \| 0.535 \| \| Tatoeba-test.nld-ron.nld.ron \| 26.6 \| 0.495 \| \| Tatoeba-test.nld-rus.nld.rus \| 30.0 \| 0.512 \| \| Tatoeba-test.nld-sco.nld.sco \| 4.3 \| 0.299 \| \| Tatoeba-test.nld-spa.nld.spa \| 35.0 \| 0.560 \| \| Tatoeba-test.nld-stq.nld.stq \| 1.6 \| 0.201 \| \| Tatoeba-test.nld-swe.nld.swe \| 72.2 \| 0.801 \| \| Tatoeba-test.nld-swg.nld.swg \| 5.0 \| 0.129 \| \| Tatoeba-test.nld-ukr.nld.ukr \| 26.2 \| 0.481 \| \| Tatoeba-test.nld-wln.nld.wln \| 3.5 \| 0.133 \| \| Tatoeba-test.nld-yid.nld.yid \| 11.5 \| 0.293 \| \| Tatoeba-test.non-eng.non.eng \| 30.3 \| 0.471 \| \| Tatoeba-test.non-fra.non.fra \| 90.1 \| 0.839 \| \| Tatoeba-test.nor-afr.nor.afr \| 50.0 \| 0.638 \| \| Tatoeba-test.nor-bel.nor.bel \| 42.2 \| 0.467 \| \| Tatoeba-test.nor-bre.nor.bre \| 3.2 \| 0.188 \| \| Tatoeba-test.nor-bul.nor.bul \| 35.4 \| 0.529 \| \| Tatoeba-test.nor-ces.nor.ces \| 38.0 \| 0.627 \| \| Tatoeba-test.nor-cor.nor.cor \| 3.2 \| 0.072 \| \| Tatoeba-test.nor-cym.nor.cym \| 14.7 \| 0.465 \| \| Tatoeba-test.nor-dan.nor.dan \| 59.0 \| 0.757 \| \| Tatoeba-test.nor-deu.nor.deu \| 32.4 \| 0.560 \| \| Tatoeba-test.nor-ell.nor.ell \| 29.9 \| 0.507 \| \| Tatoeba-test.nor-eng.nor.eng \| 40.8 \| 0.585 \| \| Tatoeba-test.nor-enm.nor.enm \| 4.2 \| 0.303 \| \| Tatoeba-test.nor-fao.nor.fao \| 10.0 \| 0.345 \| \| Tatoeba-test.nor-fra.nor.fra \| 38.4 \| 0.572 \| \| Tatoeba-test.nor-fry.nor.fry \| 18.7 \| 0.375 \| \| Tatoeba-test.nor-got.nor.got \| 10.7 \| 0.015 \| \| Tatoeba-test.nor-hbs.nor.hbs \| 21.7 \| 0.465 \| \| Tatoeba-test.nor-hin.nor.hin \| 14.8 \| 0.307 \| \| Tatoeba-test.nor-isl.nor.isl \| 23.2 \| 0.445 \| \| Tatoeba-test.nor-ita.nor.ita \| 35.2 \| 0.594 \| \| Tatoeba-test.nor-kur.nor.kur \| 10.7 \| 0.037 \| \| Tatoeba-test.nor-lad.nor.lad \| 6.6 \| 0.370 \| \| Tatoeba-test.nor-lat.nor.lat \| 3.6 \| 0.261 \| \| Tatoeba-test.nor-ltz.nor.ltz \| 12.2 \| 0.404 \| \| Tatoeba-test.nor-msa.nor.msa \| 8.0 \| 0.442 \| \| Tatoeba-test.nor-nds.nor.nds \| 20.3 \| 0.466 \| \| Tatoeba-test.nor-nld.nor.nld \| 39.1 \| 0.598 \| \| Tatoeba-test.nor-nor.nor.nor \| 49.0 \| 0.698 \| \| Tatoeba-test.nor-pol.nor.pol \| 26.3 \| 0.515 \| \| Tatoeba-test.nor-por.nor.por \| 31.0 \| 0.543 \| \| Tatoeba-test.nor-ron.nor.ron \| 28.0 \| 0.475 \| \| Tatoeba-test.nor-rus.nor.rus \| 28.1 \| 0.513 \| \| Tatoeba-test.nor-slv.nor.slv \| 1.2 \| 0.193 \| \| Tatoeba-test.nor-spa.nor.spa \| 38.2 \| 0.598 \| \| Tatoeba-test.nor-swe.nor.swe \| 58.8 \| 0.741 \| \| Tatoeba-test.nor-ukr.nor.ukr \| 29.1 \| 0.515 \| \| Tatoeba-test.nor-yid.nor.yid \| 42.6 \| 0.473 \| \| Tatoeba-test.oci-deu.oci.deu \| 11.2 \| 0.346 \| \| Tatoeba-test.oci-eng.oci.eng \| 13.4 \| 0.331 \| \| Tatoeba-test.oci-enm.oci.enm \| 5.3 \| 0.206 \| \| Tatoeba-test.oci-fra.oci.fra \| 19.6 \| 0.423 \| \| Tatoeba-test.oci-ita.oci.ita \| 24.5 \| 0.493 \| \| Tatoeba-test.oci-nld.oci.nld \| 22.5 \| 0.408 \| \| Tatoeba-test.oci-pol.oci.pol \| 8.8 \| 0.322 \| \| Tatoeba-test.oci-rus.oci.rus \| 16.4 \| 0.387 \| \| Tatoeba-test.oci-spa.oci.spa \| 20.4 \| 0.442 \| \| Tatoeba-test.oci-yid.oci.yid \| 66.9 \| 0.968 \| \| Tatoeba-test.ori-eng.ori.eng \| 3.9 \| 0.168 \| \| Tatoeba-test.ori-rus.ori.rus \| 9.1 \| 0.175 \| \| Tatoeba-test.orv-deu.orv.deu \| 5.8 \| 0.256 \| \| Tatoeba-test.orv-eng.orv.eng \| 8.4 \| 0.243 \| \| Tatoeba-test.orv-fra.orv.fra \| 8.9 \| 0.244 \| \| Tatoeba-test.orv-ita.orv.ita \| 8.1 \| 0.297 \| \| Tatoeba-test.orv-lat.orv.lat \| 1.2 \| 0.207 \| \| Tatoeba-test.orv-pol.orv.pol \| 11.6 \| 0.338 \| \| Tatoeba-test.orv-rus.orv.rus \| 8.2 \| 0.234 \| \| Tatoeba-test.orv-spa.orv.spa \| 7.8 \| 0.331 \| \| Tatoeba-test.orv-ukr.orv.ukr \| 6.4 \| 0.217 \| \| Tatoeba-test.oss-eng.oss.eng \| 5.8 \| 0.230 \| \| Tatoeba-test.oss-fra.oss.fra \| 10.8 \| 0.279 \| \| Tatoeba-test.oss-rus.oss.rus \| 6.0 \| 0.225 \| \| Tatoeba-test.pan-eng.pan.eng \| 6.1 \| 0.256 \| \| Tatoeba-test.pap-ell.pap.ell \| 0.0 \| 0.626 \| \| Tatoeba-test.pap-eng.pap.eng \| 45.7 \| 0.586 \| \| Tatoeba-test.pap-fra.pap.fra \| 43.9 \| 0.589 \| \| Tatoeba-test.pap-msa.pap.msa \| 0.0 \| 0.347 \| \| Tatoeba-test.pap-nld.pap.nld \| 41.9 \| 0.587 \| \| Tatoeba-test.pcd-fra.pcd.fra \| 14.4 \| 0.365 \| \| Tatoeba-test.pcd-spa.pcd.spa \| 5.8 \| 0.274 \| \| Tatoeba-test.pdc-deu.pdc.deu \| 33.0 \| 0.474 \| \| Tatoeba-test.pdc-eng.pdc.eng \| 36.1 \| 0.479 \| \| Tatoeba-test.pms-cos.pms.cos \| 0.7 \| 0.026 \| \| Tatoeba-test.pms-deu.pms.deu \| 13.1 \| 0.310 \| \| Tatoeba-test.pms-eng.pms.eng \| 8.8 \| 0.296 \| \| Tatoeba-test.pms-fra.pms.fra \| 13.0 \| 0.309 \| \| Tatoeba-test.pms-ita.pms.ita \| 10.0 \| 0.327 \| \| Tatoeba-test.pms-pol.pms.pol \| 15.2 \| 0.304 \| \| Tatoeba-test.pms-spa.pms.spa \| 10.4 \| 0.352 \| \| Tatoeba-test.pol-afr.pol.afr \| 40.2 \| 0.589 \| \| Tatoeba-test.pol-bel.pol.bel \| 24.8 \| 0.503 \| \| Tatoeba-test.pol-bul.pol.bul \| 29.4 \| 0.508 \| \| Tatoeba-test.pol-cat.pol.cat \| 20.3 \| 0.416 \| \| Tatoeba-test.pol-ces.pol.ces \| 28.0 \| 0.489 \| \| Tatoeba-test.pol-cor.pol.cor \| 1.3 \| 0.052 \| \| Tatoeba-test.pol-cym.pol.cym \| 7.0 \| 0.347 \| \| Tatoeba-test.pol-dan.pol.dan \| 37.0 \| 0.551 \| \| Tatoeba-test.pol-deu.pol.deu \| 29.1 \| 0.508 \| \| Tatoeba-test.pol-dsb.pol.dsb \| 0.8 \| 0.070 \| \| Tatoeba-test.pol-ell.pol.ell \| 32.3 \| 0.519 \| \| Tatoeba-test.pol-eng.pol.eng \| 34.1 \| 0.531 \| \| Tatoeba-test.pol-fao.pol.fao \| 1.2 \| 0.234 \| \| Tatoeba-test.pol-fas.pol.fas \| 6.5 \| 0.208 \| \| Tatoeba-test.pol-fra.pol.fra \| 30.8 \| 0.510 \| \| Tatoeba-test.pol-fry.pol.fry \| 7.2 \| 0.287 \| \| Tatoeba-test.pol-gla.pol.gla \| 14.6 \| 0.301 \| \| Tatoeba-test.pol-glg.pol.glg \| 18.4 \| 0.498 \| \| Tatoeba-test.pol-hbs.pol.hbs \| 31.8 \| 0.546 \| \| Tatoeba-test.pol-hin.pol.hin \| 3.5 \| 0.193 \| \| Tatoeba-test.pol-isl.pol.isl \| 11.4 \| 0.336 \| \| Tatoeba-test.pol-ita.pol.ita \| 28.5 \| 0.522 \| \| Tatoeba-test.pol-kur.pol.kur \| 2.6 \| 0.134 \| \| Tatoeba-test.pol-lad.pol.lad \| 16.0 \| 0.265 \| \| Tatoeba-test.pol-lat.pol.lat \| 7.2 \| 0.311 \| \| Tatoeba-test.pol-lav.pol.lav \| 22.9 \| 0.450 \| \| Tatoeba-test.pol-lit.pol.lit \| 21.2 \| 0.493 \| \| Tatoeba-test.pol-mkd.pol.mkd \| 38.0 \| 0.718 \| \| Tatoeba-test.pol-msa.pol.msa \| 2.2 \| 0.173 \| \| Tatoeba-test.pol-nds.pol.nds \| 14.4 \| 0.370 \| \| Tatoeba-test.pol-nld.pol.nld \| 30.6 \| 0.501 \| \| Tatoeba-test.pol-nor.pol.nor \| 33.3 \| 0.536 \| \| Tatoeba-test.pol-oci.pol.oci \| 4.0 \| 0.282 \| \| Tatoeba-test.pol-orv.pol.orv \| 0.4 \| 0.005 \| \| Tatoeba-test.pol-pms.pol.pms \| 1.3 \| 0.032 \| \| Tatoeba-test.pol-por.pol.por \| 25.9 \| 0.491 \| \| Tatoeba-test.pol-prg.pol.prg \| 0.0 \| 0.083 \| \| Tatoeba-test.pol-ron.pol.ron \| 26.5 \| 0.487 \| \| Tatoeba-test.pol-rus.pol.rus \| 34.7 \| 0.550 \| \| Tatoeba-test.pol-slv.pol.slv \| 7.4 \| 0.256 \| \| Tatoeba-test.pol-spa.pol.spa \| 30.7 \| 0.516 \| \| Tatoeba-test.pol-swe.pol.swe \| 35.0 \| 0.530 \| \| Tatoeba-test.pol-ukr.pol.ukr \| 32.8 \| 0.538 \| \| Tatoeba-test.pol-urd.pol.urd \| 5.6 \| 0.381 \| \| Tatoeba-test.pol-yid.pol.yid \| 4.8 \| 0.146 \| \| Tatoeba-test.por-afr.por.afr \| 48.1 \| 0.653 \| \| Tatoeba-test.por-ang.por.ang \| 8.4 \| 0.213 \| \| Tatoeba-test.por-ast.por.ast \| 42.7 \| 0.835 \| \| Tatoeba-test.por-bel.por.bel \| 9.7 \| 0.539 \| \| Tatoeba-test.por-bul.por.bul \| 41.5 \| 0.569 \| \| Tatoeba-test.por-cat.por.cat \| 36.9 \| 0.612 \| \| Tatoeba-test.por-ces.por.ces \| 29.0 \| 0.526 \| \| Tatoeba-test.por-cor.por.cor \| 0.8 \| 0.049 \| \| Tatoeba-test.por-dan.por.dan \| 51.4 \| 0.668 \| \| Tatoeba-test.por-deu.por.deu \| 30.8 \| 0.532 \| \| Tatoeba-test.por-ell.por.ell \| 33.8 \| 0.556 \| \| Tatoeba-test.por-eng.por.eng \| 44.5 \| 0.622 \| \| Tatoeba-test.por-enm.por.enm \| 10.7 \| 0.190 \| \| Tatoeba-test.por-fas.por.fas \| 4.5 \| 0.273 \| \| Tatoeba-test.por-fra.por.fra \| 43.0 \| 0.625 \| \| Tatoeba-test.por-fry.por.fry \| 8.9 \| 0.365 \| \| Tatoeba-test.por-gcf.por.gcf \| 16.0 \| 0.079 \| \| Tatoeba-test.por-gla.por.gla \| 12.1 \| 0.315 \| \| Tatoeba-test.por-glg.por.glg \| 49.2 \| 0.700 \| \| Tatoeba-test.por-grc.por.grc \| 0.1 \| 0.004 \| \| Tatoeba-test.por-hbs.por.hbs \| 39.2 \| 0.575 \| \| Tatoeba-test.por-isl.por.isl \| 15.5 \| 0.387 \| \| Tatoeba-test.por-ita.por.ita \| 39.9 \| 0.637 \| \| Tatoeba-test.por-kur.por.kur \| 3.0 \| 0.133 \| \| Tatoeba-test.por-lad.por.lad \| 0.6 \| 0.172 \| \| Tatoeba-test.por-lat.por.lat \| 5.4 \| 0.325 \| \| Tatoeba-test.por-lit.por.lit \| 18.8 \| 0.418 \| \| Tatoeba-test.por-ltz.por.ltz \| 16.8 \| 0.569 \| \| Tatoeba-test.por-mkd.por.mkd \| 27.3 \| 0.571 \| \| Tatoeba-test.por-msa.por.msa \| 7.6 \| 0.327 \| \| Tatoeba-test.por-mwl.por.mwl \| 30.5 \| 0.559 \| \| Tatoeba-test.por-nds.por.nds \| 14.2 \| 0.370 \| \| Tatoeba-test.por-nld.por.nld \| 35.6 \| 0.558 \| \| Tatoeba-test.por-nor.por.nor \| 38.0 \| 0.587 \| \| Tatoeba-test.por-pol.por.pol \| 25.5 \| 0.510 \| \| Tatoeba-test.por-roh.por.roh \| 5.5 \| 0.058 \| \| Tatoeba-test.por-ron.por.ron \| 32.0 \| 0.557 \| \| Tatoeba-test.por-rus.por.rus \| 26.8 \| 0.493 \| \| Tatoeba-test.por-spa.por.spa \| 48.7 \| 0.686 \| \| Tatoeba-test.por-swe.por.swe \| 43.4 \| 0.612 \| \| Tatoeba-test.por-ukr.por.ukr \| 27.5 \| 0.500 \| \| Tatoeba-test.por-yid.por.yid \| 9.3 \| 0.293 \| \| Tatoeba-test.prg-deu.prg.deu \| 2.2 \| 0.183 \| \| Tatoeba-test.prg-eng.prg.eng \| 1.3 \| 0.179 \| \| Tatoeba-test.prg-fra.prg.fra \| 2.3 \| 0.183 \| \| Tatoeba-test.prg-pol.prg.pol \| 0.5 \| 0.173 \| \| Tatoeba-test.prg-spa.prg.spa \| 3.4 \| 0.200 \| \| Tatoeba-test.pus-eng.pus.eng \| 1.6 \| 0.166 \| \| Tatoeba-test.roh-deu.roh.deu \| 8.3 \| 0.311 \| \| Tatoeba-test.roh-eng.roh.eng \| 9.5 \| 0.361 \| \| Tatoeba-test.roh-fra.roh.fra \| 8.8 \| 0.415 \| \| Tatoeba-test.roh-por.roh.por \| 21.4 \| 0.347 \| \| Tatoeba-test.roh-spa.roh.spa \| 13.3 \| 0.434 \| \| Tatoeba-test.rom-deu.rom.deu \| 2.9 \| 0.204 \| \| Tatoeba-test.rom-eng.rom.eng \| 5.3 \| 0.243 \| \| Tatoeba-test.rom-fra.rom.fra \| 6.5 \| 0.194 \| \| Tatoeba-test.ron-afr.ron.afr \| 30.2 \| 0.667 \| \| Tatoeba-test.ron-bul.ron.bul \| 35.4 \| 0.493 \| \| Tatoeba-test.ron-cat.ron.cat \| 23.6 \| 0.542 \| \| Tatoeba-test.ron-ces.ron.ces \| 10.6 \| 0.344 \| \| Tatoeba-test.ron-dan.ron.dan \| 12.7 \| 0.652 \| \| Tatoeba-test.ron-deu.ron.deu \| 32.1 \| 0.524 \| \| Tatoeba-test.ron-eng.ron.eng \| 38.4 \| 0.566 \| \| Tatoeba-test.ron-enm.ron.enm \| 5.3 \| 0.351 \| \| Tatoeba-test.ron-fas.ron.fas \| 7.3 \| 0.338 \| \| Tatoeba-test.ron-fra.ron.fra \| 38.0 \| 0.571 \| \| Tatoeba-test.ron-gle.ron.gle \| 10.7 \| 0.116 \| \| Tatoeba-test.ron-ita.ron.ita \| 36.2 \| 0.587 \| \| Tatoeba-test.ron-lad.ron.lad \| 2.4 \| 0.233 \| \| Tatoeba-test.ron-lat.ron.lat \| 6.5 \| 0.368 \| \| Tatoeba-test.ron-mkd.ron.mkd \| 27.5 \| 0.484 \| \| Tatoeba-test.ron-msa.ron.msa \| 0.8 \| 0.082 \| \| Tatoeba-test.ron-nds.ron.nds \| 9.7 \| 0.168 \| \| Tatoeba-test.ron-nld.ron.nld \| 32.5 \| 0.522 \| \| Tatoeba-test.ron-nor.ron.nor \| 45.2 \| 0.656 \| \| Tatoeba-test.ron-pol.ron.pol \| 32.2 \| 0.554 \| \| Tatoeba-test.ron-por.ron.por \| 33.6 \| 0.577 \| \| Tatoeba-test.ron-rus.ron.rus \| 33.3 \| 0.536 \| \| Tatoeba-test.ron-slv.ron.slv \| 19.0 \| 0.113 \| \| Tatoeba-test.ron-spa.ron.spa \| 40.8 \| 0.605 \| \| Tatoeba-test.ron-swe.ron.swe \| 12.7 \| 0.288 \| \| Tatoeba-test.ron-yid.ron.yid \| 19.7 \| 0.285 \| \| Tatoeba-test.rue-eng.rue.eng \| 18.7 \| 0.359 \| \| Tatoeba-test.rue-spa.rue.spa \| 30.1 \| 0.455 \| \| Tatoeba-test.rus-afr.rus.afr \| 34.7 \| 0.540 \| \| Tatoeba-test.rus-ang.rus.ang \| 0.0 \| 0.042 \| \| Tatoeba-test.rus-ast.rus.ast \| 42.7 \| 0.835 \| \| Tatoeba-test.rus-bel.rus.bel \| 35.0 \| 0.587 \| \| Tatoeba-test.rus-bul.rus.bul \| 30.8 \| 0.534 \| \| Tatoeba-test.rus-cat.rus.cat \| 27.9 \| 0.512 \| \| Tatoeba-test.rus-ces.rus.ces \| 33.8 \| 0.537 \| \| Tatoeba-test.rus-cor.rus.cor \| 0.4 \| 0.038 \| \| Tatoeba-test.rus-cym.rus.cym \| 7.6 \| 0.384 \| \| Tatoeba-test.rus-dan.rus.dan \| 37.9 \| 0.559 \| \| Tatoeba-test.rus-deu.rus.deu \| 31.3 \| 0.528 \| \| Tatoeba-test.rus-dsb.rus.dsb \| 16.0 \| 0.060 \| \| Tatoeba-test.rus-ell.rus.ell \| 29.0 \| 0.512 \| \| Tatoeba-test.rus-eng.rus.eng \| 37.6 \| 0.553 \| \| Tatoeba-test.rus-enm.rus.enm \| 1.6 \| 0.138 \| \| Tatoeba-test.rus-fas.rus.fas \| 4.2 \| 0.278 \| \| Tatoeba-test.rus-fra.rus.fra \| 33.0 \| 0.524 \| \| Tatoeba-test.rus-fry.rus.fry \| 16.3 \| 0.308 \| \| Tatoeba-test.rus-gcf.rus.gcf \| 10.7 \| 0.045 \| \| Tatoeba-test.rus-gla.rus.gla \| 22.3 \| 0.427 \| \| Tatoeba-test.rus-gle.rus.gle \| 5.9 \| 0.310 \| \| Tatoeba-test.rus-glg.rus.glg \| 20.6 \| 0.459 \| \| Tatoeba-test.rus-gos.rus.gos \| 1.5 \| 0.152 \| \| Tatoeba-test.rus-hbs.rus.hbs \| 31.0 \| 0.546 \| \| Tatoeba-test.rus-hin.rus.hin \| 5.5 \| 0.326 \| \| Tatoeba-test.rus-hye.rus.hye \| 12.7 \| 0.365 \| \| Tatoeba-test.rus-isl.rus.isl \| 9.0 \| 0.320 \| \| Tatoeba-test.rus-ita.rus.ita \| 26.6 \| 0.495 \| \| Tatoeba-test.rus-kur.rus.kur \| 5.6 \| 0.210 \| \| Tatoeba-test.rus-lad.rus.lad \| 1.0 \| 0.169 \| \| Tatoeba-test.rus-lat.rus.lat \| 7.9 \| 0.328 \| \| Tatoeba-test.rus-lav.rus.lav \| 31.1 \| 0.519 \| \| Tatoeba-test.rus-lit.rus.lit \| 22.0 \| 0.489 \| \| Tatoeba-test.rus-ltz.rus.ltz \| 19.4 \| 0.263 \| \| Tatoeba-test.rus-mar.rus.mar \| 19.0 \| 0.217 \| \| Tatoeba-test.rus-mkd.rus.mkd \| 38.5 \| 0.662 \| \| Tatoeba-test.rus-msa.rus.msa \| 6.6 \| 0.305 \| \| Tatoeba-test.rus-nds.rus.nds \| 11.5 \| 0.350 \| \| Tatoeba-test.rus-nld.rus.nld \| 31.1 \| 0.517 \| \| Tatoeba-test.rus-nor.rus.nor \| 31.2 \| 0.528 \| \| Tatoeba-test.rus-oci.rus.oci \| 4.9 \| 0.261 \| \| Tatoeba-test.rus-ori.rus.ori \| 7.3 \| 0.325 \| \| Tatoeba-test.rus-orv.rus.orv \| 0.0 \| 0.008 \| \| Tatoeba-test.rus-oss.rus.oss \| 4.8 \| 0.198 \| \| Tatoeba-test.rus-pol.rus.pol \| 31.3 \| 0.540 \| \| Tatoeba-test.rus-por.rus.por \| 24.5 \| 0.476 \| \| Tatoeba-test.rus-ron.rus.ron \| 25.7 \| 0.492 \| \| Tatoeba-test.rus-slv.rus.slv \| 20.7 \| 0.400 \| \| Tatoeba-test.rus-spa.rus.spa \| 30.9 \| 0.526 \| \| Tatoeba-test.rus-swe.rus.swe \| 32.0 \| 0.507 \| \| Tatoeba-test.rus-ukr.rus.ukr \| 41.1 \| 0.622 \| \| Tatoeba-test.rus-urd.rus.urd \| 7.1 \| 0.367 \| \| Tatoeba-test.rus-yid.rus.yid \| 4.7 \| 0.253 \| \| Tatoeba-test.san-eng.san.eng \| 2.5 \| 0.167 \| \| Tatoeba-test.san-msa.san.msa \| 11.7 \| 0.217 \| \| Tatoeba-test.scn-deu.scn.deu \| 3.9 \| 0.224 \| \| Tatoeba-test.scn-eng.scn.eng \| 40.7 \| 0.420 \| \| Tatoeba-test.scn-fra.scn.fra \| 2.1 \| 0.134 \| \| Tatoeba-test.scn-spa.scn.spa \| 3.4 \| 0.244 \| \| Tatoeba-test.sco-deu.sco.deu \| 17.2 \| 0.310 \| \| Tatoeba-test.sco-eng.sco.eng \| 32.8 \| 0.524 \| \| Tatoeba-test.sco-fra.sco.fra \| 5.7 \| 0.254 \| \| Tatoeba-test.sco-lad.sco.lad \| 5.3 \| 0.023 \| \| Tatoeba-test.sco-lat.sco.lat \| 3.5 \| 0.237 \| \| Tatoeba-test.sco-nld.sco.nld \| 11.9 \| 0.335 \| \| Tatoeba-test.sgs-eng.sgs.eng \| 23.7 \| 0.300 \| \| Tatoeba-test.sgs-spa.sgs.spa \| 0.0 \| 0.146 \| \| Tatoeba-test.sin-eng.sin.eng \| 14.1 \| 0.313 \| \| Tatoeba-test.slv-ces.slv.ces \| 33.2 \| 0.528 \| \| Tatoeba-test.slv-deu.slv.deu \| 33.4 \| 0.518 \| \| Tatoeba-test.slv-eng.slv.eng \| 29.9 \| 0.489 \| \| Tatoeba-test.slv-fra.slv.fra \| 19.5 \| 0.405 \| \| Tatoeba-test.slv-ita.slv.ita \| 28.6 \| 0.499 \| \| Tatoeba-test.slv-lad.slv.lad \| 5.5 \| 0.296 \| \| Tatoeba-test.slv-lav.slv.lav \| 18.0 \| 0.546 \| \| Tatoeba-test.slv-lit.slv.lit \| 18.0 \| 0.452 \| \| Tatoeba-test.slv-nor.slv.nor \| 20.3 \| 0.406 \| \| Tatoeba-test.slv-pol.slv.pol \| 33.1 \| 0.541 \| \| Tatoeba-test.slv-ron.slv.ron \| 12.4 \| 0.348 \| \| Tatoeba-test.slv-rus.slv.rus \| 33.4 \| 0.519 \| \| Tatoeba-test.slv-spa.slv.spa \| 32.9 \| 0.503 \| \| Tatoeba-test.slv-swe.slv.swe \| 14.8 \| 0.095 \| \| Tatoeba-test.slv-ukr.slv.ukr \| 30.1 \| 0.471 \| \| Tatoeba-test.snd-eng.snd.eng \| 12.7 \| 0.377 \| \| Tatoeba-test.spa-afr.spa.afr \| 46.9 \| 0.624 \| \| Tatoeba-test.spa-ang.spa.ang \| 1.1 \| 0.143 \| \| Tatoeba-test.spa-arg.spa.arg \| 21.6 \| 0.446 \| \| Tatoeba-test.spa-ast.spa.ast \| 28.1 \| 0.526 \| \| Tatoeba-test.spa-bel.spa.bel \| 22.8 \| 0.466 \| \| Tatoeba-test.spa-ben.spa.ben \| 16.9 \| 0.442 \| \| Tatoeba-test.spa-bul.spa.bul \| 30.8 \| 0.510 \| \| Tatoeba-test.spa-cat.spa.cat \| 49.1 \| 0.696 \| \| Tatoeba-test.spa-ces.spa.ces \| 27.2 \| 0.497 \| \| Tatoeba-test.spa-cor.spa.cor \| 0.5 \| 0.049 \| \| Tatoeba-test.spa-csb.spa.csb \| 5.3 \| 0.204 \| \| Tatoeba-test.spa-cym.spa.cym \| 22.4 \| 0.476 \| \| Tatoeba-test.spa-dan.spa.dan \| 39.3 \| 0.581 \| \| Tatoeba-test.spa-deu.spa.deu \| 30.9 \| 0.531 \| \| Tatoeba-test.spa-dsb.spa.dsb \| 0.7 \| 0.109 \| \| Tatoeba-test.spa-egl.spa.egl \| 0.9 \| 0.060 \| \| Tatoeba-test.spa-ell.spa.ell \| 28.9 \| 0.487 \| \| Tatoeba-test.spa-eng.spa.eng \| 41.0 \| 0.595 \| \| Tatoeba-test.spa-enm.spa.enm \| 13.9 \| 0.188 \| \| Tatoeba-test.spa-fas.spa.fas \| 7.9 \| 0.244 \| \| Tatoeba-test.spa-fra.spa.fra \| 41.4 \| 0.610 \| \| Tatoeba-test.spa-fry.spa.fry \| 15.8 \| 0.397 \| \| Tatoeba-test.spa-gcf.spa.gcf \| 7.0 \| 0.060 \| \| Tatoeba-test.spa-gla.spa.gla \| 7.4 \| 0.303 \| \| Tatoeba-test.spa-gle.spa.gle \| 22.2 \| 0.415 \| \| Tatoeba-test.spa-glg.spa.glg \| 48.8 \| 0.683 \| \| Tatoeba-test.spa-gos.spa.gos \| 1.7 \| 0.181 \| \| Tatoeba-test.spa-got.spa.got \| 0.3 \| 0.010 \| \| Tatoeba-test.spa-grc.spa.grc \| 0.1 \| 0.005 \| \| Tatoeba-test.spa-gsw.spa.gsw \| 5.6 \| 0.051 \| \| Tatoeba-test.spa-guj.spa.guj \| 15.0 \| 0.365 \| \| Tatoeba-test.spa-hat.spa.hat \| 19.9 \| 0.409 \| \| Tatoeba-test.spa-hbs.spa.hbs \| 33.2 \| 0.529 \| \| Tatoeba-test.spa-hin.spa.hin \| 16.1 \| 0.331 \| \| Tatoeba-test.spa-hsb.spa.hsb \| 5.1 \| 0.240 \| \| Tatoeba-test.spa-hye.spa.hye \| 13.5 \| 0.357 \| \| Tatoeba-test.spa-isl.spa.isl \| 18.0 \| 0.410 \| \| Tatoeba-test.spa-ita.spa.ita \| 42.7 \| 0.646 \| \| Tatoeba-test.spa-ksh.spa.ksh \| 0.4 \| 0.088 \| \| Tatoeba-test.spa-kur.spa.kur \| 5.6 \| 0.237 \| \| Tatoeba-test.spa-lad.spa.lad \| 0.9 \| 0.157 \| \| Tatoeba-test.spa-lat.spa.lat \| 9.0 \| 0.382 \| \| Tatoeba-test.spa-lav.spa.lav \| 23.7 \| 0.510 \| \| Tatoeba-test.spa-lit.spa.lit \| 22.4 \| 0.477 \| \| Tatoeba-test.spa-lld.spa.lld \| 0.4 \| 0.119 \| \| Tatoeba-test.spa-ltz.spa.ltz \| 34.1 \| 0.531 \| \| Tatoeba-test.spa-mai.spa.mai \| 29.4 \| 0.416 \| \| Tatoeba-test.spa-mkd.spa.mkd \| 37.1 \| 0.568 \| \| Tatoeba-test.spa-msa.spa.msa \| 14.0 \| 0.405 \| \| Tatoeba-test.spa-nds.spa.nds \| 15.4 \| 0.390 \| \| Tatoeba-test.spa-nld.spa.nld \| 34.0 \| 0.550 \| \| Tatoeba-test.spa-nor.spa.nor \| 41.1 \| 0.608 \| \| Tatoeba-test.spa-oci.spa.oci \| 8.0 \| 0.353 \| \| Tatoeba-test.spa-orv.spa.orv \| 0.4 \| 0.010 \| \| Tatoeba-test.spa-pcd.spa.pcd \| 0.2 \| 0.060 \| \| Tatoeba-test.spa-pms.spa.pms \| 0.6 \| 0.122 \| \| Tatoeba-test.spa-pol.spa.pol \| 26.3 \| 0.498 \| \| Tatoeba-test.spa-por.spa.por \| 41.6 \| 0.638 \| \| Tatoeba-test.spa-prg.spa.prg \| 0.3 \| 0.095 \| \| Tatoeba-test.spa-roh.spa.roh \| 4.0 \| 0.219 \| \| Tatoeba-test.spa-ron.spa.ron \| 31.9 \| 0.550 \| \| Tatoeba-test.spa-rue.spa.rue \| 0.2 \| 0.013 \| \| Tatoeba-test.spa-rus.spa.rus \| 29.4 \| 0.510 \| \| Tatoeba-test.spa-scn.spa.scn \| 1.6 \| 0.086 \| \| Tatoeba-test.spa-sgs.spa.sgs \| 16.0 \| 0.111 \| \| Tatoeba-test.spa-slv.spa.slv \| 9.2 \| 0.269 \| \| Tatoeba-test.spa-stq.spa.stq \| 8.4 \| 0.375 \| \| Tatoeba-test.spa-swe.spa.swe \| 39.5 \| 0.572 \| \| Tatoeba-test.spa-ukr.spa.ukr \| 27.8 \| 0.495 \| \| Tatoeba-test.spa-wln.spa.wln \| 2.9 \| 0.220 \| \| Tatoeba-test.spa-yid.spa.yid \| 10.0 \| 0.296 \| \| Tatoeba-test.sqi-eng.sqi.eng \| 30.9 \| 0.499 \| \| Tatoeba-test.sqi-fra.sqi.fra \| 29.9 \| 0.545 \| \| Tatoeba-test.sqi-ita.sqi.ita \| 24.5 \| 0.484 \| \| Tatoeba-test.srd-fra.srd.fra \| 5.8 \| 0.347 \| \| Tatoeba-test.stq-deu.stq.deu \| 16.7 \| 0.426 \| \| Tatoeba-test.stq-eng.stq.eng \| 8.4 \| 0.370 \| \| Tatoeba-test.stq-frr.stq.frr \| 0.6 \| 0.032 \| \| Tatoeba-test.stq-fry.stq.fry \| 9.3 \| 0.283 \| \| Tatoeba-test.stq-gos.stq.gos \| 0.3 \| 0.126 \| \| Tatoeba-test.stq-isl.stq.isl \| 0.0 \| 0.102 \| \| Tatoeba-test.stq-ltz.stq.ltz \| 4.0 \| 0.175 \| \| Tatoeba-test.stq-nld.stq.nld \| 13.2 \| 0.398 \| \| Tatoeba-test.stq-spa.stq.spa \| 7.0 \| 0.345 \| \| Tatoeba-test.stq-yid.stq.yid \| 5.0 \| 0.110 \| \| Tatoeba-test.swe-afr.swe.afr \| 63.1 \| 0.831 \| \| Tatoeba-test.swe-bul.swe.bul \| 35.4 \| 0.529 \| \| Tatoeba-test.swe-cat.swe.cat \| 38.5 \| 0.528 \| \| Tatoeba-test.swe-ces.swe.ces \| 32.8 \| 0.380 \| \| Tatoeba-test.swe-dan.swe.dan \| 54.5 \| 0.702 \| \| Tatoeba-test.swe-deu.swe.deu \| 36.7 \| 0.570 \| \| Tatoeba-test.swe-ell.swe.ell \| 32.9 \| 0.541 \| \| Tatoeba-test.swe-eng.swe.eng \| 44.9 \| 0.606 \| \| Tatoeba-test.swe-fao.swe.fao \| 0.0 \| 0.877 \| \| Tatoeba-test.swe-fra.swe.fra \| 43.2 \| 0.605 \| \| Tatoeba-test.swe-fry.swe.fry \| 42.7 \| 0.402 \| \| Tatoeba-test.swe-gos.swe.gos \| 4.8 \| 0.253 \| \| Tatoeba-test.swe-hbs.swe.hbs \| 39.3 \| 0.591 \| \| Tatoeba-test.swe-hin.swe.hin \| 31.6 \| 0.617 \| \| Tatoeba-test.swe-isl.swe.isl \| 21.2 \| 0.559 \| \| Tatoeba-test.swe-ita.swe.ita \| 33.1 \| 0.548 \| \| Tatoeba-test.swe-kur.swe.kur \| 1.4 \| 0.144 \| \| Tatoeba-test.swe-lad.swe.lad \| 6.6 \| 0.373 \| \| Tatoeba-test.swe-lat.swe.lat \| 4.5 \| 0.453 \| \| Tatoeba-test.swe-lav.swe.lav \| 73.4 \| 0.828 \| \| Tatoeba-test.swe-ltz.swe.ltz \| 25.5 \| 0.440 \| \| Tatoeba-test.swe-mkd.swe.mkd \| 0.0 \| 0.124 \| \| Tatoeba-test.swe-nld.swe.nld \| 71.9 \| 0.742 \| \| Tatoeba-test.swe-nor.swe.nor \| 59.5 \| 0.742 \| \| Tatoeba-test.swe-pol.swe.pol \| 25.9 \| 0.497 \| \| Tatoeba-test.swe-por.swe.por \| 31.3 \| 0.546 \| \| Tatoeba-test.swe-ron.swe.ron \| 100.0 \| 1.000 \| \| Tatoeba-test.swe-rus.swe.rus \| 28.6 \| 0.495 \| \| Tatoeba-test.swe-slv.swe.slv \| 19.0 \| 0.116 \| \| Tatoeba-test.swe-spa.swe.spa \| 37.1 \| 0.569 \| \| Tatoeba-test.swe-yid.swe.yid \| 13.9 \| 0.336 \| \| Tatoeba-test.swg-ces.swg.ces \| 16.5 \| 0.438 \| \| Tatoeba-test.swg-dan.swg.dan \| 20.1 \| 0.468 \| \| Tatoeba-test.swg-deu.swg.deu \| 8.0 \| 0.316 \| \| Tatoeba-test.swg-eng.swg.eng \| 13.0 \| 0.300 \| \| Tatoeba-test.swg-fra.swg.fra \| 15.3 \| 0.296 \| \| Tatoeba-test.swg-nds.swg.nds \| 0.9 \| 0.199 \| \| Tatoeba-test.swg-nld.swg.nld \| 4.9 \| 0.287 \| \| Tatoeba-test.swg-yid.swg.yid \| 1.9 \| 0.194 \| \| Tatoeba-test.tgk-deu.tgk.deu \| 45.2 \| 0.574 \| \| Tatoeba-test.tgk-eng.tgk.eng \| 7.8 \| 0.271 \| \| Tatoeba-test.tgk-fra.tgk.fra \| 9.6 \| 0.273 \| \| Tatoeba-test.tly-eng.tly.eng \| 0.9 \| 0.102 \| \| Tatoeba-test.tly-fra.tly.fra \| 4.4 \| 0.054 \| \| Tatoeba-test.ukr-afr.ukr.afr \| 48.3 \| 0.646 \| \| Tatoeba-test.ukr-ang.ukr.ang \| 1.4 \| 0.034 \| \| Tatoeba-test.ukr-bel.ukr.bel \| 36.7 \| 0.601 \| \| Tatoeba-test.ukr-bul.ukr.bul \| 40.4 \| 0.601 \| \| Tatoeba-test.ukr-cat.ukr.cat \| 33.9 \| 0.538 \| \| Tatoeba-test.ukr-ces.ukr.ces \| 33.1 \| 0.524 \| \| Tatoeba-test.ukr-dan.ukr.dan \| 25.8 \| 0.469 \| \| Tatoeba-test.ukr-deu.ukr.deu \| 34.0 \| 0.543 \| \| Tatoeba-test.ukr-ell.ukr.ell \| 23.0 \| 0.493 \| \| Tatoeba-test.ukr-eng.ukr.eng \| 36.1 \| 0.538 \| \| Tatoeba-test.ukr-enm.ukr.enm \| 3.6 \| 0.400 \| \| Tatoeba-test.ukr-fas.ukr.fas \| 5.3 \| 0.240 \| \| Tatoeba-test.ukr-fra.ukr.fra \| 32.0 \| 0.519 \| \| Tatoeba-test.ukr-fry.ukr.fry \| 13.6 \| 0.318 \| \| Tatoeba-test.ukr-gos.ukr.gos \| 3.8 \| 0.199 \| \| Tatoeba-test.ukr-hbs.ukr.hbs \| 33.4 \| 0.547 \| \| Tatoeba-test.ukr-ita.ukr.ita \| 32.6 \| 0.546 \| \| Tatoeba-test.ukr-lad.ukr.lad \| 1.4 \| 0.166 \| \| Tatoeba-test.ukr-lat.ukr.lat \| 8.0 \| 0.314 \| \| Tatoeba-test.ukr-lav.ukr.lav \| 10.7 \| 0.520 \| \| Tatoeba-test.ukr-lit.ukr.lit \| 59.9 \| 0.631 \| \| Tatoeba-test.ukr-mkd.ukr.mkd \| 38.0 \| 0.718 \| \| Tatoeba-test.ukr-msa.ukr.msa \| 2.5 \| 0.213 \| \| Tatoeba-test.ukr-nds.ukr.nds \| 11.0 \| 0.368 \| \| Tatoeba-test.ukr-nld.ukr.nld \| 33.0 \| 0.524 \| \| Tatoeba-test.ukr-nor.ukr.nor \| 40.4 \| 0.574 \| \| Tatoeba-test.ukr-orv.ukr.orv \| 0.1 \| 0.008 \| \| Tatoeba-test.ukr-pol.ukr.pol \| 32.7 \| 0.553 \| \| Tatoeba-test.ukr-por.ukr.por \| 26.8 \| 0.496 \| \| Tatoeba-test.ukr-rus.ukr.rus \| 45.7 \| 0.651 \| \| Tatoeba-test.ukr-slv.ukr.slv \| 11.8 \| 0.263 \| \| Tatoeba-test.ukr-spa.ukr.spa \| 31.7 \| 0.528 \| \| Tatoeba-test.ukr-yid.ukr.yid \| 3.6 \| 0.196 \| \| Tatoeba-test.urd-dan.urd.dan \| 36.7 \| 0.586 \| \| Tatoeba-test.urd-deu.urd.deu \| 17.1 \| 0.451 \| \| Tatoeba-test.urd-eng.urd.eng \| 17.1 \| 0.375 \| \| Tatoeba-test.urd-fra.urd.fra \| 38.1 \| 0.565 \| \| Tatoeba-test.urd-hbs.urd.hbs \| 0.0 \| 1.000 \| \| Tatoeba-test.urd-hin.urd.hin \| 14.0 \| 0.404 \| \| Tatoeba-test.urd-msa.urd.msa \| 1.5 \| 0.014 \| \| Tatoeba-test.urd-pol.urd.pol \| 68.7 \| 0.695 \| \| Tatoeba-test.urd-rus.urd.rus \| 25.8 \| 0.314 \| \| Tatoeba-test.vec-eng.vec.eng \| 13.6 \| 0.319 \| \| Tatoeba-test.vec-fra.vec.fra \| 48.3 \| 0.680 \| \| Tatoeba-test.vec-ita.vec.ita \| 28.3 \| 0.454 \| \| Tatoeba-test.wln-eng.wln.eng \| 4.4 \| 0.206 \| \| Tatoeba-test.wln-fra.wln.fra \| 8.0 \| 0.282 \| \| Tatoeba-test.wln-nld.wln.nld \| 5.2 \| 0.237 \| \| Tatoeba-test.wln-spa.wln.spa \| 9.9 \| 0.395 \| \| Tatoeba-test.yid-afr.yid.afr \| 35.4 \| 0.868 \| \| Tatoeba-test.yid-ang.yid.ang \| 0.8 \| 0.077 \| \| Tatoeba-test.yid-bel.yid.bel \| 4.9 \| 0.240 \| \| Tatoeba-test.yid-bul.yid.bul \| 11.3 \| 0.054 \| \| Tatoeba-test.yid-cat.yid.cat \| 19.0 \| 0.583 \| \| Tatoeba-test.yid-ces.yid.ces \| 5.4 \| 0.320 \| \| Tatoeba-test.yid-cym.yid.cym \| 6.3 \| 0.239 \| \| Tatoeba-test.yid-dan.yid.dan \| 12.8 \| 0.341 \| \| Tatoeba-test.yid-deu.yid.deu \| 17.5 \| 0.382 \| \| Tatoeba-test.yid-ell.yid.ell \| 42.7 \| 0.797 \| \| Tatoeba-test.yid-eng.yid.eng \| 15.5 \| 0.338 \| \| Tatoeba-test.yid-enm.yid.enm \| 2.3 \| 0.176 \| \| Tatoeba-test.yid-fas.yid.fas \| 4.5 \| 0.207 \| \| Tatoeba-test.yid-fra.yid.fra \| 18.9 \| 0.367 \| \| Tatoeba-test.yid-fry.yid.fry \| 6.0 \| 0.156 \| \| Tatoeba-test.yid-gle.yid.gle \| 32.2 \| 0.448 \| \| Tatoeba-test.yid-gos.yid.gos \| 1.3 \| 0.142 \| \| Tatoeba-test.yid-ita.yid.ita \| 15.3 \| 0.363 \| \| Tatoeba-test.yid-kur.yid.kur \| 3.2 \| 0.166 \| \| Tatoeba-test.yid-lad.yid.lad \| 0.1 \| 0.090 \| \| Tatoeba-test.yid-lat.yid.lat \| 1.8 \| 0.206 \| \| Tatoeba-test.yid-lit.yid.lit \| 27.8 \| 0.560 \| \| Tatoeba-test.yid-ltz.yid.ltz \| 4.2 \| 0.316 \| \| Tatoeba-test.yid-nds.yid.nds \| 24.6 \| 0.466 \| \| Tatoeba-test.yid-nld.yid.nld \| 24.5 \| 0.431 \| \| Tatoeba-test.yid-nor.yid.nor \| 5.0 \| 0.318 \| \| Tatoeba-test.yid-oci.yid.oci \| 19.0 \| 0.390 \| \| Tatoeba-test.yid-pol.yid.pol \| 15.0 \| 0.258 \| \| Tatoeba-test.yid-por.yid.por \| 7.4 \| 0.326 \| \| Tatoeba-test.yid-ron.yid.ron \| 12.3 \| 0.325 \| \| Tatoeba-test.yid-rus.yid.rus \| 14.2 \| 0.324 \| \| Tatoeba-test.yid-spa.yid.spa \| 16.1 \| 0.369 \| \| Tatoeba-test.yid-stq.yid.stq \| 3.2 \| 0.125 \| \| Tatoeba-test.yid-swe.yid.swe \| 55.9 \| 0.672 \| \| Tatoeba-test.yid-swg.yid.swg \| 0.3 \| 0.083 \| \| Tatoeba-test.yid-ukr.yid.ukr \| 7.2 \| 0.383 \| \| Tatoeba-test.zza-asm.zza.asm \| 0.0 \| 0.102 \| \| Tatoeba-test.zza-eng.zza.eng \| 1.9 \| 0.135 \| ### System Info: - hf_name: ine-ine - source_languages: ine - target_languages: ine - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ine-ine/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ca', 'es', 'os', 'ro', 'fy', 'cy', 'sc', 'is', 'yi', 'lb', 'an', 'sq', 'fr', 'ht', 'rm', 'ps', 'af', 'uk', 'sl', 'lt', 'bg', 'be', 'gd', 'si', 'en', 'br', 'mk', 'or', 'mr', 'ru', 'fo', 'co', 'oc', 'pl', 'gl', 'nb', 'bn', 'id', 'hy', 'da', 'gv', 'nl', 'pt', 'hi', 'as', 'kw', 'ga', 'sv', 'gu', 'wa', 'lv', 'el', 'it', 'hr', 'ur', 'nn', 'de', 'cs', 'ine'] - src_constituents: {'cat', 'spa', 'pap', 'mwl', 'lij', 'bos_Latn', 'lad_Latn', 'lat_Latn', 'pcd', 'oss', 'ron', 'fry', 'cym', 'awa', 'swg', 'zsm_Latn', 'srd', 'gcf_Latn', 'isl', 'yid', 'bho', 'ltz', 'kur_Latn', 'arg', 'pes_Thaa', 'sqi', 'csb_Latn', 'fra', 'hat', 'non_Latn', 'sco', 'pnb', 'roh', 'bul_Latn', 'pus', 'afr', 'ukr', 'slv', 'lit', 'tmw_Latn', 'hsb', 'tly_Latn', 'bul', 'bel', 'got_Goth', 'lat_Grek', 'ext', 'gla', 'mai', 'sin', 'hif_Latn', 'eng', 'bre', 'nob_Hebr', 'prg_Latn', 'ang_Latn', 'aln', 'mkd', 'ori', 'mar', 'afr_Arab', 'san_Deva', 'gos', 'rus', 'fao', 'orv_Cyrl', 'bel_Latn', 'cos', 'zza', 'grc_Grek', 'oci', 'mfe', 'gom', 'bjn', 'sgs', 'tgk_Cyrl', 'hye_Latn', 'pdc', 'srp_Cyrl', 'pol', 'ast', 'glg', 'pms', 'nob', 'ben', 'min', 'srp_Latn', 'zlm_Latn', 'ind', 'rom', 'hye', 'scn', 'enm_Latn', 'lmo', 'npi', 'pes', 'dan', 'rus_Latn', 'jdt_Cyrl', 'gsw', 'glv', 'nld', 'snd_Arab', 'kur_Arab', 'por', 'hin', 'dsb', 'asm', 'lad', 'frm_Latn', 'ksh', 'pan_Guru', 'cor', 'gle', 'swe', 'guj', 'wln', 'lav', 'ell', 'frr', 'rue', 'ita', 'hrv', 'urd', 'stq', 'nno', 'deu', 'lld_Latn', 'ces', 'egl', 'vec', 'max_Latn', 'pes_Latn', 'ltg', 'nds'} - tgt_constituents: {'cat', 'spa', 'pap', 'mwl', 'lij', 'bos_Latn', 'lad_Latn', 'lat_Latn', 'pcd', 'oss', 'ron', 'fry', 'cym', 'awa', 'swg', 'zsm_Latn', 'srd', 'gcf_Latn', 'isl', 'yid', 'bho', 'ltz', 'kur_Latn', 'arg', 'pes_Thaa', 'sqi', 'csb_Latn', 'fra', 'hat', 'non_Latn', 'sco', 'pnb', 'roh', 'bul_Latn', 'pus', 'afr', 'ukr', 'slv', 'lit', 'tmw_Latn', 'hsb', 'tly_Latn', 'bul', 'bel', 'got_Goth', 'lat_Grek', 'ext', 'gla', 'mai', 'sin', 'hif_Latn', 'eng', 'bre', 'nob_Hebr', 'prg_Latn', 'ang_Latn', 'aln', 'mkd', 'ori', 'mar', 'afr_Arab', 'san_Deva', 'gos', 'rus', 'fao', 'orv_Cyrl', 'bel_Latn', 'cos', 'zza', 'grc_Grek', 'oci', 'mfe', 'gom', 'bjn', 'sgs', 'tgk_Cyrl', 'hye_Latn', 'pdc', 'srp_Cyrl', 'pol', 'ast', 'glg', 'pms', 'nob', 'ben', 'min', 'srp_Latn', 'zlm_Latn', 'ind', 'rom', 'hye', 'scn', 'enm_Latn', 'lmo', 'npi', 'pes', 'dan', 'rus_Latn', 'jdt_Cyrl', 'gsw', 'glv', 'nld', 'snd_Arab', 'kur_Arab', 'por', 'hin', 'dsb', 'asm', 'lad', 'frm_Latn', 'ksh', 'pan_Guru', 'cor', 'gle', 'swe', 'guj', 'wln', 'lav', 'ell', 'frr', 'rue', 'ita', 'hrv', 'urd', 'stq', 'nno', 'deu', 'lld_Latn', 'ces', 'egl', 'vec', 'max_Latn', 'pes_Latn', 'ltg', 'nds'} - src_multilingual: True - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ine-ine/opus-2020-07-27.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ine-ine/opus-2020-07-27.test.txt - src_alpha3: ine - tgt_alpha3: ine - short_pair: ine-ine - chrF2_score: 0.509 - bleu: 30.8 - brevity_penalty: 0.9890000000000001 - ref_len: 69953.0 - src_name: Indo-European languages - tgt_name: Indo-European languages - train_date: 2020-07-27 - src_alpha2: ine - tgt_alpha2: ine - prefer_old: False - long_pair: ine-ine - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["ca", "es", "os", "ro", "fy", "cy", "sc", "is", "yi", "lb", "an", "sq", "fr", "ht", "rm", "ps", "af", "uk", "sl", "lt", "bg", "be", "gd", "si", "en", "br", "mk", "or", "mr", "ru", "fo", "co", "oc", "pl", "gl", "nb", "bn", "id", "hy", "da", "gv", "nl", "pt", "hi", "as", "kw", "ga", "sv", "gu", "wa", "lv", "el", "it", "hr", "ur", "nn", "de", "cs", "ine"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-ine-ine	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ca", "es", "os", "ro", "fy", "cy", "sc", "is", "yi", "lb", "an", "sq", "fr", "ht", "rm", "ps", "af", "uk", "sl", "lt", "bg", "be", "gd", "si", "en", "br", "mk", "or", "mr", "ru", "fo", "co", "oc", "pl", "gl", "nb", "bn", "id", "hy", "da", "gv", "nl", "pt", "hi", "as", "kw", "ga", "sv", "gu", "wa", "lv", "el", "it", "hr", "ur", "nn", "de", "cs", "ine", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "ca", "es", "os", "ro", "fy", "cy", "sc", "is", "yi", "lb", "an", "sq", "fr", "ht", "rm", "ps", "af", "uk", "sl", "lt", "bg", "be", "gd", "si", "en", "br", "mk", "or", "mr", "ru", "fo", "co", "oc", "pl", "gl", "nb", "bn", "id", "hy", "da", "gv", "nl", "pt", "hi", "as", "kw", "ga", "sv", "gu", "wa", "lv", "el", "it", "hr", "ur", "nn", "de", "cs", "ine" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #ca #es #os #ro #fy #cy #sc #is #yi #lb #an #sq #fr #ht #rm #ps #af #uk #sl #lt #bg #be #gd #si #en #br #mk #or #mr #ru #fo #co #oc #pl #gl #nb #bn #id #hy #da #gv #nl #pt #hi #as #kw #ga #sv #gu #wa #lv #el #it #hr #ur #nn #de #cs #ine #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### ine-ine * source group: Indo-European languages * target group: Indo-European languages * OPUS readme: ine-ine * model: transformer * source language(s): afr afr\_Arab aln ang\_Latn arg asm ast awa bel bel\_Latn ben bho bjn bos\_Latn bre bul bul\_Latn cat ces cor cos csb\_Latn cym dan deu dsb egl ell eng enm\_Latn ext fao fra frm\_Latn frr fry gcf\_Latn gla gle glg glv gom gos got\_Goth grc\_Grek gsw guj hat hif\_Latn hin hrv hsb hye hye\_Latn ind isl ita jdt\_Cyrl ksh kur\_Arab kur\_Latn lad lad\_Latn lat\_Grek lat\_Latn lav lij lit lld\_Latn lmo ltg ltz mai mar max\_Latn mfe min mkd mwl nds nld nno nob nob\_Hebr non\_Latn npi oci ori orv\_Cyrl oss pan\_Guru pap pcd pdc pes pes\_Latn pes\_Thaa pms pnb pol por prg\_Latn pus roh rom ron rue rus rus\_Latn san\_Deva scn sco sgs sin slv snd\_Arab spa sqi srd srp\_Cyrl srp\_Latn stq swe swg tgk\_Cyrl tly\_Latn tmw\_Latn ukr urd vec wln yid zlm\_Latn zsm\_Latn zza * target language(s): afr afr\_Arab aln ang\_Latn arg asm ast awa bel bel\_Latn ben bho bjn bos\_Latn bre bul bul\_Latn cat ces cor cos csb\_Latn cym dan deu dsb egl ell eng enm\_Latn ext fao fra frm\_Latn frr fry gcf\_Latn gla gle glg glv gom gos got\_Goth grc\_Grek gsw guj hat hif\_Latn hin hrv hsb hye hye\_Latn ind isl ita jdt\_Cyrl ksh kur\_Arab kur\_Latn lad lad\_Latn lat\_Grek lat\_Latn lav lij lit lld\_Latn lmo ltg ltz mai mar max\_Latn mfe min mkd mwl nds nld nno nob nob\_Hebr non\_Latn npi oci ori orv\_Cyrl oss pan\_Guru pap pcd pdc pes pes\_Latn pes\_Thaa pms pnb pol por prg\_Latn pus roh rom ron rue rus rus\_Latn san\_Deva scn sco sgs sin slv snd\_Arab spa sqi srd srp\_Cyrl srp\_Latn stq swe swg tgk\_Cyrl tly\_Latn tmw\_Latn ukr urd vec wln yid zlm\_Latn zsm\_Latn zza * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: euelections\_dev2019.URL, BLEU: 19.2, chr-F: 0.482 testset: euelections\_dev2019.URL, BLEU: 15.8, chr-F: 0.470 testset: URL, BLEU: 4.0, chr-F: 0.245 testset: URL, BLEU: 6.8, chr-F: 0.301 testset: URL, BLEU: 17.3, chr-F: 0.470 testset: URL, BLEU: 26.0, chr-F: 0.534 testset: URL, BLEU: 12.1, chr-F: 0.416 testset: URL, BLEU: 15.9, chr-F: 0.443 testset: URL, BLEU: 2.5, chr-F: 0.200 testset: URL, BLEU: 7.1, chr-F: 0.302 testset: URL, BLEU: 10.6, chr-F: 0.407 testset: URL, BLEU: 14.9, chr-F: 0.428 testset: URL, BLEU: 22.6, chr-F: 0.507 testset: URL, BLEU: 23.5, chr-F: 0.495 testset: URL, BLEU: 25.1, chr-F: 0.528 testset: URL, BLEU: 26.4, chr-F: 0.517 testset: URL, BLEU: 13.1, chr-F: 0.432 testset: URL, BLEU: 18.4, chr-F: 0.463 testset: URL, BLEU: 15.5, chr-F: 0.452 testset: URL, BLEU: 14.8, chr-F: 0.458 testset: URL, BLEU: 18.4, chr-F: 0.462 testset: URL, BLEU: 10.5, chr-F: 0.381 testset: URL, BLEU: 19.5, chr-F: 0.467 testset: URL, BLEU: 16.4, chr-F: 0.459 testset: URL, BLEU: 15.5, chr-F: 0.456 testset: URL, BLEU: 18.4, chr-F: 0.466 testset: URL, BLEU: 11.9, chr-F: 0.394 testset: URL, BLEU: 13.9, chr-F: 0.446 testset: URL, BLEU: 20.7, chr-F: 0.502 testset: URL, BLEU: 21.3, chr-F: 0.516 testset: URL, BLEU: 22.3, chr-F: 0.506 testset: URL, BLEU: 11.5, chr-F: 0.390 testset: URL, BLEU: 13.4, chr-F: 0.437 testset: URL, BLEU: 22.8, chr-F: 0.499 testset: URL, BLEU: 22.2, chr-F: 0.533 testset: URL, BLEU: 26.2, chr-F: 0.539 testset: URL, BLEU: 12.3, chr-F: 0.397 testset: URL, BLEU: 13.3, chr-F: 0.436 testset: URL, BLEU: 24.7, chr-F: 0.517 testset: URL, BLEU: 24.0, chr-F: 0.528 testset: URL, BLEU: 26.3, chr-F: 0.537 testset: URL, BLEU: 12.0, chr-F: 0.400 testset: URL, BLEU: 13.9, chr-F: 0.440 testset: URL, BLEU: 22.9, chr-F: 0.509 testset: URL, BLEU: 24.2, chr-F: 0.538 testset: URL, BLEU: 24.5, chr-F: 0.547 testset: URL, BLEU: 12.0, chr-F: 0.422 testset: URL, BLEU: 15.1, chr-F: 0.444 testset: URL, BLEU: 16.4, chr-F: 0.451 testset: URL, BLEU: 9.9, chr-F: 0.369 testset: URL, BLEU: 18.0, chr-F: 0.456 testset: URL, BLEU: 16.4, chr-F: 0.453 testset: URL, BLEU: 17.0, chr-F: 0.452 testset: URL, BLEU: 10.5, chr-F: 0.375 testset: URL, BLEU: 14.5, chr-F: 0.439 testset: URL, BLEU: 18.9, chr-F: 0.481 testset: URL, BLEU: 20.9, chr-F: 0.491 testset: URL, BLEU: 10.7, chr-F: 0.380 testset: URL, BLEU: 13.8, chr-F: 0.435 testset: URL, BLEU: 19.8, chr-F: 0.479 testset: URL, BLEU: 24.8, chr-F: 0.522 testset: URL, BLEU: 11.0, chr-F: 0.380 testset: URL, BLEU: 14.0, chr-F: 0.433 testset: URL, BLEU: 20.6, chr-F: 0.488 testset: URL, BLEU: 23.3, chr-F: 0.518 testset: URL, BLEU: 12.9, chr-F: 0.427 testset: URL, BLEU: 17.0, chr-F: 0.456 testset: URL, BLEU: 15.4, chr-F: 0.447 testset: URL, BLEU: 14.9, chr-F: 0.454 testset: URL, BLEU: 17.1, chr-F: 0.458 testset: URL, BLEU: 10.3, chr-F: 0.370 testset: URL, BLEU: 17.7, chr-F: 0.458 testset: URL, BLEU: 15.9, chr-F: 0.447 testset: URL, BLEU: 14.7, chr-F: 0.446 testset: URL, BLEU: 17.2, chr-F: 0.453 testset: URL, BLEU: 11.0, chr-F: 0.387 testset: URL, BLEU: 13.6, chr-F: 0.440 testset: URL, BLEU: 20.3, chr-F: 0.496 testset: URL, BLEU: 20.8, chr-F: 0.509 testset: URL, BLEU: 21.9, chr-F: 0.503 testset: URL, BLEU: 11.3, chr-F: 0.385 testset: URL, BLEU: 14.0, chr-F: 0.436 testset: URL, BLEU: 21.8, chr-F: 0.496 testset: URL, BLEU: 22.1, chr-F: 0.526 testset: URL, BLEU: 24.8, chr-F: 0.525 testset: URL, BLEU: 11.5, chr-F: 0.382 testset: URL, BLEU: 13.3, chr-F: 0.430 testset: URL, BLEU: 23.6, chr-F: 0.508 testset: URL, BLEU: 22.9, chr-F: 0.516 testset: URL, BLEU: 25.4, chr-F: 0.529 testset: URL, BLEU: 11.3, chr-F: 0.386 testset: URL, BLEU: 13.5, chr-F: 0.434 testset: URL, BLEU: 22.4, chr-F: 0.500 testset: URL, BLEU: 23.2, chr-F: 0.520 testset: URL, BLEU: 24.0, chr-F: 0.538 testset: URL, BLEU: 13.1, chr-F: 0.431 testset: URL, BLEU: 16.9, chr-F: 0.459 testset: URL, BLEU: 15.6, chr-F: 0.450 testset: URL, BLEU: 18.5, chr-F: 0.467 testset: URL, BLEU: 11.4, chr-F: 0.387 testset: URL, BLEU: 19.6, chr-F: 0.481 testset: URL, BLEU: 17.7, chr-F: 0.471 testset: URL, BLEU: 20.0, chr-F: 0.478 testset: URL, BLEU: 11.4, chr-F: 0.393 testset: URL, BLEU: 15.1, chr-F: 0.448 testset: URL, BLEU: 21.4, chr-F: 0.506 testset: URL, BLEU: 25.0, chr-F: 0.525 testset: URL, BLEU: 11.1, chr-F: 0.386 testset: URL, BLEU: 14.2, chr-F: 0.442 testset: URL, BLEU: 22.6, chr-F: 0.507 testset: URL, BLEU: 26.6, chr-F: 0.542 testset: URL, BLEU: 12.2, chr-F: 0.396 testset: URL, BLEU: 15.1, chr-F: 0.445 testset: URL, BLEU: 24.3, chr-F: 0.521 testset: URL, BLEU: 24.8, chr-F: 0.536 testset: URL, BLEU: 13.1, chr-F: 0.423 testset: URL, BLEU: 18.2, chr-F: 0.463 testset: URL, BLEU: 17.4, chr-F: 0.458 testset: URL, BLEU: 18.9, chr-F: 0.464 testset: URL, BLEU: 11.2, chr-F: 0.376 testset: URL, BLEU: 18.3, chr-F: 0.464 testset: URL, BLEU: 17.0, chr-F: 0.457 testset: URL, BLEU: 19.2, chr-F: 0.464 testset: URL, BLEU: 12.4, chr-F: 0.395 testset: URL, BLEU: 14.5, chr-F: 0.437 testset: URL, BLEU: 23.6, chr-F: 0.522 testset: URL, BLEU: 26.6, chr-F: 0.530 testset: URL, BLEU: 12.5, chr-F: 0.394 testset: URL, BLEU: 14.2, chr-F: 0.433 testset: URL, BLEU: 24.3, chr-F: 0.521 testset: URL, BLEU: 29.1, chr-F: 0.551 testset: URL, BLEU: 12.3, chr-F: 0.390 testset: URL, BLEU: 14.4, chr-F: 0.435 testset: URL, BLEU: 25.0, chr-F: 0.521 testset: URL, BLEU: 25.6, chr-F: 0.537 testset: URL, BLEU: 13.1, chr-F: 0.420 testset: URL, BLEU: 17.5, chr-F: 0.457 testset: URL, BLEU: 16.8, chr-F: 0.452 testset: URL, BLEU: 11.2, chr-F: 0.379 testset: URL, BLEU: 18.1, chr-F: 0.457 testset: URL, BLEU: 11.2, chr-F: 0.368 testset: URL, BLEU: 19.4, chr-F: 0.472 testset: URL, BLEU: 17.7, chr-F: 0.464 testset: URL, BLEU: 10.3, chr-F: 0.370 testset: URL, BLEU: 19.6, chr-F: 0.467 testset: URL, BLEU: 11.1, chr-F: 0.375 testset: URL, BLEU: 14.6, chr-F: 0.440 testset: URL, BLEU: 22.4, chr-F: 0.512 testset: URL, BLEU: 17.6, chr-F: 0.452 testset: URL, BLEU: 26.5, chr-F: 0.527 testset: URL, BLEU: 11.9, chr-F: 0.383 testset: URL, BLEU: 14.6, chr-F: 0.437 testset: URL, BLEU: 24.3, chr-F: 0.516 testset: URL, BLEU: 11.9, chr-F: 0.393 testset: URL, BLEU: 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13.0, chr-F: 0.300 testset: URL, BLEU: 15.3, chr-F: 0.296 testset: URL, BLEU: 0.9, chr-F: 0.199 testset: URL, BLEU: 4.9, chr-F: 0.287 testset: URL, BLEU: 1.9, chr-F: 0.194 testset: URL, BLEU: 45.2, chr-F: 0.574 testset: URL, BLEU: 7.8, chr-F: 0.271 testset: URL, BLEU: 9.6, chr-F: 0.273 testset: URL, BLEU: 0.9, chr-F: 0.102 testset: URL, BLEU: 4.4, chr-F: 0.054 testset: URL, BLEU: 48.3, chr-F: 0.646 testset: URL, BLEU: 1.4, chr-F: 0.034 testset: URL, BLEU: 36.7, chr-F: 0.601 testset: URL, BLEU: 40.4, chr-F: 0.601 testset: URL, BLEU: 33.9, chr-F: 0.538 testset: URL, BLEU: 33.1, chr-F: 0.524 testset: URL, BLEU: 25.8, chr-F: 0.469 testset: URL, BLEU: 34.0, chr-F: 0.543 testset: URL, BLEU: 23.0, chr-F: 0.493 testset: URL, BLEU: 36.1, chr-F: 0.538 testset: URL, BLEU: 3.6, chr-F: 0.400 testset: URL, BLEU: 5.3, chr-F: 0.240 testset: URL, BLEU: 32.0, chr-F: 0.519 testset: URL, BLEU: 13.6, chr-F: 0.318 testset: URL, BLEU: 3.8, chr-F: 0.199 testset: URL, BLEU: 33.4, chr-F: 0.547 testset: URL, BLEU: 32.6, chr-F: 0.546 testset: URL, BLEU: 1.4, chr-F: 0.166 testset: URL, BLEU: 8.0, chr-F: 0.314 testset: URL, BLEU: 10.7, chr-F: 0.520 testset: URL, BLEU: 59.9, chr-F: 0.631 testset: URL, BLEU: 38.0, chr-F: 0.718 testset: URL, BLEU: 2.5, chr-F: 0.213 testset: URL, BLEU: 11.0, chr-F: 0.368 testset: URL, BLEU: 33.0, chr-F: 0.524 testset: URL, BLEU: 40.4, chr-F: 0.574 testset: URL, BLEU: 0.1, chr-F: 0.008 testset: URL, BLEU: 32.7, chr-F: 0.553 testset: URL, BLEU: 26.8, chr-F: 0.496 testset: URL, BLEU: 45.7, chr-F: 0.651 testset: URL, BLEU: 11.8, chr-F: 0.263 testset: URL, BLEU: 31.7, chr-F: 0.528 testset: URL, BLEU: 3.6, chr-F: 0.196 testset: URL, BLEU: 36.7, chr-F: 0.586 testset: URL, BLEU: 17.1, chr-F: 0.451 testset: URL, BLEU: 17.1, chr-F: 0.375 testset: URL, BLEU: 38.1, chr-F: 0.565 testset: URL, BLEU: 0.0, chr-F: 1.000 testset: URL, BLEU: 14.0, chr-F: 0.404 testset: URL, BLEU: 1.5, chr-F: 0.014 testset: URL, BLEU: 68.7, chr-F: 0.695 testset: URL, BLEU: 25.8, chr-F: 0.314 testset: URL, BLEU: 13.6, chr-F: 0.319 testset: URL, BLEU: 48.3, chr-F: 0.680 testset: URL, BLEU: 28.3, chr-F: 0.454 testset: URL, BLEU: 4.4, chr-F: 0.206 testset: URL, BLEU: 8.0, chr-F: 0.282 testset: URL, BLEU: 5.2, chr-F: 0.237 testset: URL, BLEU: 9.9, chr-F: 0.395 testset: URL, BLEU: 35.4, chr-F: 0.868 testset: URL, BLEU: 0.8, chr-F: 0.077 testset: URL, BLEU: 4.9, chr-F: 0.240 testset: URL, BLEU: 11.3, chr-F: 0.054 testset: URL, BLEU: 19.0, chr-F: 0.583 testset: URL, BLEU: 5.4, chr-F: 0.320 testset: URL, BLEU: 6.3, chr-F: 0.239 testset: URL, BLEU: 12.8, chr-F: 0.341 testset: URL, BLEU: 17.5, chr-F: 0.382 testset: URL, BLEU: 42.7, chr-F: 0.797 testset: URL, BLEU: 15.5, chr-F: 0.338 testset: URL, BLEU: 2.3, chr-F: 0.176 testset: URL, BLEU: 4.5, chr-F: 0.207 testset: URL, BLEU: 18.9, chr-F: 0.367 testset: URL, BLEU: 6.0, chr-F: 0.156 testset: URL, BLEU: 32.2, chr-F: 0.448 testset: URL, BLEU: 1.3, chr-F: 0.142 testset: URL, BLEU: 15.3, chr-F: 0.363 testset: URL, BLEU: 3.2, chr-F: 0.166 testset: URL, BLEU: 0.1, chr-F: 0.090 testset: URL, BLEU: 1.8, chr-F: 0.206 testset: URL, BLEU: 27.8, chr-F: 0.560 testset: URL, BLEU: 4.2, chr-F: 0.316 testset: URL, BLEU: 24.6, chr-F: 0.466 testset: URL, BLEU: 24.5, chr-F: 0.431 testset: URL, BLEU: 5.0, chr-F: 0.318 testset: URL, BLEU: 19.0, chr-F: 0.390 testset: URL, BLEU: 15.0, chr-F: 0.258 testset: URL, BLEU: 7.4, chr-F: 0.326 testset: URL, BLEU: 12.3, chr-F: 0.325 testset: URL, BLEU: 14.2, chr-F: 0.324 testset: URL, BLEU: 16.1, chr-F: 0.369 testset: URL, BLEU: 3.2, chr-F: 0.125 testset: URL, BLEU: 55.9, chr-F: 0.672 testset: URL, BLEU: 0.3, chr-F: 0.083 testset: URL, BLEU: 7.2, chr-F: 0.383 testset: URL, BLEU: 0.0, chr-F: 0.102 testset: URL, BLEU: 1.9, chr-F: 0.135 ### System Info: * hf\_name: ine-ine * source\_languages: ine * target\_languages: ine * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['ca', 'es', 'os', 'ro', 'fy', 'cy', 'sc', 'is', 'yi', 'lb', 'an', 'sq', 'fr', 'ht', 'rm', 'ps', 'af', 'uk', 'sl', 'lt', 'bg', 'be', 'gd', 'si', 'en', 'br', 'mk', 'or', 'mr', 'ru', 'fo', 'co', 'oc', 'pl', 'gl', 'nb', 'bn', 'id', 'hy', 'da', 'gv', 'nl', 'pt', 'hi', 'as', 'kw', 'ga', 'sv', 'gu', 'wa', 'lv', 'el', 'it', 'hr', 'ur', 'nn', 'de', 'cs', 'ine'] * src\_constituents: {'cat', 'spa', 'pap', 'mwl', 'lij', 'bos\_Latn', 'lad\_Latn', 'lat\_Latn', 'pcd', 'oss', 'ron', 'fry', 'cym', 'awa', 'swg', 'zsm\_Latn', 'srd', 'gcf\_Latn', 'isl', 'yid', 'bho', 'ltz', 'kur\_Latn', 'arg', 'pes\_Thaa', 'sqi', 'csb\_Latn', 'fra', 'hat', 'non\_Latn', 'sco', 'pnb', 'roh', 'bul\_Latn', 'pus', 'afr', 'ukr', 'slv', 'lit', 'tmw\_Latn', 'hsb', 'tly\_Latn', 'bul', 'bel', 'got\_Goth', 'lat\_Grek', 'ext', 'gla', 'mai', 'sin', 'hif\_Latn', 'eng', 'bre', 'nob\_Hebr', 'prg\_Latn', 'ang\_Latn', 'aln', 'mkd', 'ori', 'mar', 'afr\_Arab', 'san\_Deva', 'gos', 'rus', 'fao', 'orv\_Cyrl', 'bel\_Latn', 'cos', 'zza', 'grc\_Grek', 'oci', 'mfe', 'gom', 'bjn', 'sgs', 'tgk\_Cyrl', 'hye\_Latn', 'pdc', 'srp\_Cyrl', 'pol', 'ast', 'glg', 'pms', 'nob', 'ben', 'min', 'srp\_Latn', 'zlm\_Latn', 'ind', 'rom', 'hye', 'scn', 'enm\_Latn', 'lmo', 'npi', 'pes', 'dan', 'rus\_Latn', 'jdt\_Cyrl', 'gsw', 'glv', 'nld', 'snd\_Arab', 'kur\_Arab', 'por', 'hin', 'dsb', 'asm', 'lad', 'frm\_Latn', 'ksh', 'pan\_Guru', 'cor', 'gle', 'swe', 'guj', 'wln', 'lav', 'ell', 'frr', 'rue', 'ita', 'hrv', 'urd', 'stq', 'nno', 'deu', 'lld\_Latn', 'ces', 'egl', 'vec', 'max\_Latn', 'pes\_Latn', 'ltg', 'nds'} * tgt\_constituents: {'cat', 'spa', 'pap', 'mwl', 'lij', 'bos\_Latn', 'lad\_Latn', 'lat\_Latn', 'pcd', 'oss', 'ron', 'fry', 'cym', 'awa', 'swg', 'zsm\_Latn', 'srd', 'gcf\_Latn', 'isl', 'yid', 'bho', 'ltz', 'kur\_Latn', 'arg', 'pes\_Thaa', 'sqi', 'csb\_Latn', 'fra', 'hat', 'non\_Latn', 'sco', 'pnb', 'roh', 'bul\_Latn', 'pus', 'afr', 'ukr', 'slv', 'lit', 'tmw\_Latn', 'hsb', 'tly\_Latn', 'bul', 'bel', 'got\_Goth', 'lat\_Grek', 'ext', 'gla', 'mai', 'sin', 'hif\_Latn', 'eng', 'bre', 'nob\_Hebr', 'prg\_Latn', 'ang\_Latn', 'aln', 'mkd', 'ori', 'mar', 'afr\_Arab', 'san\_Deva', 'gos', 'rus', 'fao', 'orv\_Cyrl', 'bel\_Latn', 'cos', 'zza', 'grc\_Grek', 'oci', 'mfe', 'gom', 'bjn', 'sgs', 'tgk\_Cyrl', 'hye\_Latn', 'pdc', 'srp\_Cyrl', 'pol', 'ast', 'glg', 'pms', 'nob', 'ben', 'min', 'srp\_Latn', 'zlm\_Latn', 'ind', 'rom', 'hye', 'scn', 'enm\_Latn', 'lmo', 'npi', 'pes', 'dan', 'rus\_Latn', 'jdt\_Cyrl', 'gsw', 'glv', 'nld', 'snd\_Arab', 'kur\_Arab', 'por', 'hin', 'dsb', 'asm', 'lad', 'frm\_Latn', 'ksh', 'pan\_Guru', 'cor', 'gle', 'swe', 'guj', 'wln', 'lav', 'ell', 'frr', 'rue', 'ita', 'hrv', 'urd', 'stq', 'nno', 'deu', 'lld\_Latn', 'ces', 'egl', 'vec', 'max\_Latn', 'pes\_Latn', 'ltg', 'nds'} * src\_multilingual: True * tgt\_multilingual: True * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: ine * tgt\_alpha3: ine * short\_pair: ine-ine * chrF2\_score: 0.509 * bleu: 30.8 * brevity\_penalty: 0.9890000000000001 * ref\_len: 69953.0 * src\_name: Indo-European languages * tgt\_name: Indo-European languages * train\_date: 2020-07-27 * src\_alpha2: ine * tgt\_alpha2: ine * prefer\_old: False * long\_pair: ine-ine * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### ine-ine\n\n\n* source group: Indo-European languages\n* target group: Indo-European languages\n* OPUS readme: ine-ine\n* model: transformer\n* source language(s): afr afr\\_Arab aln ang\\_Latn arg asm ast awa bel bel\\_Latn ben bho bjn bos\\_Latn bre bul bul\\_Latn cat ces cor cos csb\\_Latn cym dan deu dsb egl ell eng enm\\_Latn ext fao fra frm\\_Latn frr fry gcf\\_Latn gla gle glg glv gom gos got\\_Goth grc\\_Grek gsw guj hat hif\\_Latn hin hrv hsb hye hye\\_Latn ind isl ita jdt\\_Cyrl ksh kur\\_Arab kur\\_Latn lad lad\\_Latn lat\\_Grek lat\\_Latn lav lij lit lld\\_Latn lmo ltg ltz mai mar max\\_Latn mfe min mkd mwl nds nld nno nob nob\\_Hebr non\\_Latn npi oci ori orv\\_Cyrl oss pan\\_Guru pap pcd pdc pes pes\\_Latn pes\\_Thaa pms pnb pol por prg\\_Latn pus roh rom ron rue rus rus\\_Latn san\\_Deva scn sco sgs sin slv snd\\_Arab spa sqi srd srp\\_Cyrl srp\\_Latn stq swe swg tgk\\_Cyrl tly\\_Latn tmw\\_Latn ukr urd vec wln yid zlm\\_Latn zsm\\_Latn zza\n* target language(s): afr afr\\_Arab aln ang\\_Latn arg asm ast awa bel bel\\_Latn ben bho bjn bos\\_Latn bre bul bul\\_Latn cat ces cor cos csb\\_Latn cym dan deu dsb egl ell eng enm\\_Latn ext fao fra frm\\_Latn frr fry gcf\\_Latn gla gle glg glv gom gos got\\_Goth grc\\_Grek gsw guj hat hif\\_Latn hin hrv hsb hye hye\\_Latn ind isl ita jdt\\_Cyrl ksh kur\\_Arab kur\\_Latn lad lad\\_Latn lat\\_Grek lat\\_Latn lav lij lit lld\\_Latn lmo ltg ltz mai mar max\\_Latn mfe min mkd mwl nds nld nno nob nob\\_Hebr non\\_Latn npi oci ori orv\\_Cyrl oss pan\\_Guru pap pcd pdc pes pes\\_Latn pes\\_Thaa pms pnb pol por prg\\_Latn pus roh rom ron rue rus rus\\_Latn san\\_Deva scn sco sgs sin slv snd\\_Arab spa sqi srd srp\\_Cyrl srp\\_Latn stq swe swg tgk\\_Cyrl tly\\_Latn tmw\\_Latn ukr urd vec wln yid zlm\\_Latn zsm\\_Latn zza\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: euelections\\_dev2019.URL, BLEU: 19.2, chr-F: 0.482\ntestset: euelections\\_dev2019.URL, BLEU: 15.8, chr-F: 0.470\ntestset: URL, BLEU: 4.0, chr-F: 0.245\ntestset: URL, BLEU: 6.8, chr-F: 0.301\ntestset: URL, BLEU: 17.3, chr-F: 0.470\ntestset: URL, BLEU: 26.0, chr-F: 0.534\ntestset: URL, BLEU: 12.1, chr-F: 0.416\ntestset: URL, BLEU: 15.9, chr-F: 0.443\ntestset: URL, BLEU: 2.5, chr-F: 0.200\ntestset: URL, BLEU: 7.1, chr-F: 0.302\ntestset: URL, BLEU: 10.6, chr-F: 0.407\ntestset: URL, BLEU: 14.9, chr-F: 0.428\ntestset: URL, BLEU: 22.6, chr-F: 0.507\ntestset: URL, BLEU: 23.5, chr-F: 0.495\ntestset: URL, BLEU: 25.1, chr-F: 0.528\ntestset: URL, BLEU: 26.4, chr-F: 0.517\ntestset: URL, BLEU: 13.1, chr-F: 0.432\ntestset: URL, BLEU: 18.4, chr-F: 0.463\ntestset: URL, BLEU: 15.5, chr-F: 0.452\ntestset: URL, BLEU: 14.8, chr-F: 0.458\ntestset: URL, BLEU: 18.4, chr-F: 0.462\ntestset: URL, BLEU: 10.5, chr-F: 0.381\ntestset: URL, BLEU: 19.5, chr-F: 0.467\ntestset: URL, BLEU: 16.4, chr-F: 0.459\ntestset: URL, BLEU: 15.5, chr-F: 0.456\ntestset: URL, BLEU: 18.4, chr-F: 0.466\ntestset: URL, BLEU: 11.9, chr-F: 0.394\ntestset: URL, BLEU: 13.9, chr-F: 0.446\ntestset: URL, BLEU: 20.7, chr-F: 0.502\ntestset: URL, BLEU: 21.3, chr-F: 0.516\ntestset: URL, BLEU: 22.3, chr-F: 0.506\ntestset: URL, BLEU: 11.5, chr-F: 0.390\ntestset: URL, BLEU: 13.4, chr-F: 0.437\ntestset: URL, BLEU: 22.8, chr-F: 0.499\ntestset: URL, BLEU: 22.2, chr-F: 0.533\ntestset: URL, BLEU: 26.2, chr-F: 0.539\ntestset: URL, BLEU: 12.3, chr-F: 0.397\ntestset: URL, BLEU: 13.3, chr-F: 0.436\ntestset: URL, BLEU: 24.7, chr-F: 0.517\ntestset: URL, BLEU: 24.0, chr-F: 0.528\ntestset: URL, BLEU: 26.3, chr-F: 0.537\ntestset: URL, BLEU: 12.0, chr-F: 0.400\ntestset: URL, BLEU: 13.9, chr-F: 0.440\ntestset: URL, BLEU: 22.9, chr-F: 0.509\ntestset: URL, BLEU: 24.2, chr-F: 0.538\ntestset: URL, BLEU: 24.5, chr-F: 0.547\ntestset: URL, BLEU: 12.0, chr-F: 0.422\ntestset: URL, BLEU: 15.1, chr-F: 0.444\ntestset: URL, BLEU: 16.4, chr-F: 0.451\ntestset: URL, BLEU: 9.9, chr-F: 0.369\ntestset: URL, BLEU: 18.0, chr-F: 0.456\ntestset: URL, BLEU: 16.4, chr-F: 0.453\ntestset: URL, BLEU: 17.0, chr-F: 0.452\ntestset: URL, BLEU: 10.5, chr-F: 0.375\ntestset: URL, BLEU: 14.5, chr-F: 0.439\ntestset: URL, BLEU: 18.9, chr-F: 0.481\ntestset: URL, BLEU: 20.9, chr-F: 0.491\ntestset: URL, BLEU: 10.7, chr-F: 0.380\ntestset: URL, BLEU: 13.8, chr-F: 0.435\ntestset: URL, BLEU: 19.8, chr-F: 0.479\ntestset: URL, BLEU: 24.8, chr-F: 0.522\ntestset: URL, BLEU: 11.0, chr-F: 0.380\ntestset: URL, BLEU: 14.0, chr-F: 0.433\ntestset: URL, BLEU: 20.6, chr-F: 0.488\ntestset: URL, BLEU: 23.3, chr-F: 0.518\ntestset: URL, BLEU: 12.9, chr-F: 0.427\ntestset: URL, BLEU: 17.0, chr-F: 0.456\ntestset: URL, BLEU: 15.4, chr-F: 0.447\ntestset: URL, BLEU: 14.9, chr-F: 0.454\ntestset: URL, BLEU: 17.1, chr-F: 0.458\ntestset: URL, BLEU: 10.3, chr-F: 0.370\ntestset: URL, BLEU: 17.7, chr-F: 0.458\ntestset: URL, BLEU: 15.9, chr-F: 0.447\ntestset: URL, BLEU: 14.7, chr-F: 0.446\ntestset: URL, BLEU: 17.2, chr-F: 0.453\ntestset: URL, BLEU: 11.0, chr-F: 0.387\ntestset: URL, BLEU: 13.6, chr-F: 0.440\ntestset: URL, BLEU: 20.3, chr-F: 0.496\ntestset: URL, BLEU: 20.8, chr-F: 0.509\ntestset: URL, BLEU: 21.9, chr-F: 0.503\ntestset: URL, BLEU: 11.3, chr-F: 0.385\ntestset: URL, BLEU: 14.0, chr-F: 0.436\ntestset: URL, BLEU: 21.8, chr-F: 0.496\ntestset: URL, BLEU: 22.1, chr-F: 0.526\ntestset: URL, BLEU: 24.8, chr-F: 0.525\ntestset: URL, BLEU: 11.5, chr-F: 0.382\ntestset: URL, BLEU: 13.3, chr-F: 0.430\ntestset: URL, BLEU: 23.6, chr-F: 0.508\ntestset: URL, BLEU: 22.9, chr-F: 0.516\ntestset: URL, BLEU: 25.4, chr-F: 0.529\ntestset: URL, BLEU: 11.3, chr-F: 0.386\ntestset: URL, BLEU: 13.5, chr-F: 0.434\ntestset: URL, BLEU: 22.4, chr-F: 0.500\ntestset: URL, BLEU: 23.2, chr-F: 0.520\ntestset: URL, BLEU: 24.0, chr-F: 0.538\ntestset: URL, BLEU: 13.1, chr-F: 0.431\ntestset: URL, BLEU: 16.9, chr-F: 0.459\ntestset: URL, BLEU: 15.6, chr-F: 0.450\ntestset: URL, BLEU: 18.5, chr-F: 0.467\ntestset: URL, BLEU: 11.4, chr-F: 0.387\ntestset: URL, BLEU: 19.6, chr-F: 0.481\ntestset: URL, BLEU: 17.7, chr-F: 0.471\ntestset: URL, BLEU: 20.0, chr-F: 0.478\ntestset: URL, BLEU: 11.4, chr-F: 0.393\ntestset: URL, BLEU: 15.1, chr-F: 0.448\ntestset: URL, BLEU: 21.4, chr-F: 0.506\ntestset: URL, BLEU: 25.0, chr-F: 0.525\ntestset: URL, BLEU: 11.1, chr-F: 0.386\ntestset: URL, BLEU: 14.2, chr-F: 0.442\ntestset: URL, BLEU: 22.6, chr-F: 0.507\ntestset: URL, BLEU: 26.6, chr-F: 0.542\ntestset: URL, BLEU: 12.2, chr-F: 0.396\ntestset: URL, BLEU: 15.1, chr-F: 0.445\ntestset: URL, BLEU: 24.3, chr-F: 0.521\ntestset: URL, BLEU: 24.8, chr-F: 0.536\ntestset: URL, BLEU: 13.1, chr-F: 0.423\ntestset: URL, BLEU: 18.2, chr-F: 0.463\ntestset: URL, BLEU: 17.4, chr-F: 0.458\ntestset: URL, BLEU: 18.9, chr-F: 0.464\ntestset: URL, BLEU: 11.2, chr-F: 0.376\ntestset: URL, BLEU: 18.3, chr-F: 0.464\ntestset: URL, BLEU: 17.0, chr-F: 0.457\ntestset: URL, BLEU: 19.2, chr-F: 0.464\ntestset: URL, BLEU: 12.4, chr-F: 0.395\ntestset: URL, BLEU: 14.5, chr-F: 0.437\ntestset: URL, BLEU: 23.6, chr-F: 0.522\ntestset: URL, BLEU: 26.6, chr-F: 0.530\ntestset: URL, BLEU: 12.5, chr-F: 0.394\ntestset: URL, BLEU: 14.2, chr-F: 0.433\ntestset: URL, BLEU: 24.3, chr-F: 0.521\ntestset: URL, BLEU: 29.1, chr-F: 0.551\ntestset: URL, BLEU: 12.3, chr-F: 0.390\ntestset: URL, BLEU: 14.4, chr-F: 0.435\ntestset: URL, BLEU: 25.0, chr-F: 0.521\ntestset: URL, BLEU: 25.6, chr-F: 0.537\ntestset: URL, BLEU: 13.1, chr-F: 0.420\ntestset: URL, BLEU: 17.5, chr-F: 0.457\ntestset: URL, BLEU: 16.8, chr-F: 0.452\ntestset: URL, BLEU: 11.2, chr-F: 0.379\ntestset: URL, BLEU: 18.1, chr-F: 0.457\ntestset: URL, BLEU: 11.2, chr-F: 0.368\ntestset: URL, BLEU: 19.4, chr-F: 0.472\ntestset: URL, BLEU: 17.7, chr-F: 0.464\ntestset: URL, BLEU: 10.3, chr-F: 0.370\ntestset: URL, BLEU: 19.6, chr-F: 0.467\ntestset: URL, BLEU: 11.1, chr-F: 0.375\ntestset: URL, BLEU: 14.6, chr-F: 0.440\ntestset: URL, BLEU: 22.4, chr-F: 0.512\ntestset: URL, BLEU: 17.6, chr-F: 0.452\ntestset: URL, BLEU: 26.5, chr-F: 0.527\ntestset: URL, BLEU: 11.9, chr-F: 0.383\ntestset: URL, BLEU: 14.6, chr-F: 0.437\ntestset: URL, BLEU: 24.3, chr-F: 0.516\ntestset: URL, BLEU: 11.9, chr-F: 0.393\ntestset: URL, BLEU: 28.3, chr-F: 0.545\ntestset: URL, BLEU: 9.0, chr-F: 0.340\ntestset: URL, BLEU: 10.0, chr-F: 0.383\ntestset: URL, BLEU: 22.4, chr-F: 0.492\ntestset: URL, BLEU: 13.3, chr-F: 0.427\ntestset: URL, BLEU: 16.6, chr-F: 0.437\ntestset: URL, BLEU: 11.9, chr-F: 0.381\ntestset: URL, BLEU: 14.8, chr-F: 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0.261\ntestset: URL, BLEU: 7.3, chr-F: 0.325\ntestset: URL, BLEU: 0.0, chr-F: 0.008\ntestset: URL, BLEU: 4.8, chr-F: 0.198\ntestset: URL, BLEU: 31.3, chr-F: 0.540\ntestset: URL, BLEU: 24.5, chr-F: 0.476\ntestset: URL, BLEU: 25.7, chr-F: 0.492\ntestset: URL, BLEU: 20.7, chr-F: 0.400\ntestset: URL, BLEU: 30.9, chr-F: 0.526\ntestset: URL, BLEU: 32.0, chr-F: 0.507\ntestset: URL, BLEU: 41.1, chr-F: 0.622\ntestset: URL, BLEU: 7.1, chr-F: 0.367\ntestset: URL, BLEU: 4.7, chr-F: 0.253\ntestset: URL, BLEU: 2.5, chr-F: 0.167\ntestset: URL, BLEU: 11.7, chr-F: 0.217\ntestset: URL, BLEU: 3.9, chr-F: 0.224\ntestset: URL, BLEU: 40.7, chr-F: 0.420\ntestset: URL, BLEU: 2.1, chr-F: 0.134\ntestset: URL, BLEU: 3.4, chr-F: 0.244\ntestset: URL, BLEU: 17.2, chr-F: 0.310\ntestset: URL, BLEU: 32.8, chr-F: 0.524\ntestset: URL, BLEU: 5.7, chr-F: 0.254\ntestset: URL, BLEU: 5.3, chr-F: 0.023\ntestset: URL, BLEU: 3.5, chr-F: 0.237\ntestset: URL, BLEU: 11.9, chr-F: 0.335\ntestset: URL, BLEU: 23.7, chr-F: 0.300\ntestset: URL, BLEU: 0.0, chr-F: 0.146\ntestset: URL, BLEU: 14.1, chr-F: 0.313\ntestset: URL, BLEU: 33.2, chr-F: 0.528\ntestset: URL, BLEU: 33.4, chr-F: 0.518\ntestset: URL, BLEU: 29.9, chr-F: 0.489\ntestset: URL, BLEU: 19.5, chr-F: 0.405\ntestset: URL, BLEU: 28.6, chr-F: 0.499\ntestset: URL, BLEU: 5.5, chr-F: 0.296\ntestset: URL, BLEU: 18.0, chr-F: 0.546\ntestset: URL, BLEU: 18.0, chr-F: 0.452\ntestset: URL, BLEU: 20.3, chr-F: 0.406\ntestset: URL, BLEU: 33.1, chr-F: 0.541\ntestset: URL, BLEU: 12.4, chr-F: 0.348\ntestset: URL, BLEU: 33.4, chr-F: 0.519\ntestset: URL, BLEU: 32.9, chr-F: 0.503\ntestset: URL, BLEU: 14.8, chr-F: 0.095\ntestset: URL, BLEU: 30.1, chr-F: 0.471\ntestset: URL, BLEU: 12.7, chr-F: 0.377\ntestset: URL, BLEU: 46.9, chr-F: 0.624\ntestset: URL, BLEU: 1.1, chr-F: 0.143\ntestset: URL, BLEU: 21.6, chr-F: 0.446\ntestset: URL, BLEU: 28.1, chr-F: 0.526\ntestset: URL, BLEU: 22.8, chr-F: 0.466\ntestset: URL, BLEU: 16.9, chr-F: 0.442\ntestset: URL, BLEU: 30.8, chr-F: 0.510\ntestset: URL, BLEU: 49.1, chr-F: 0.696\ntestset: URL, BLEU: 27.2, chr-F: 0.497\ntestset: URL, BLEU: 0.5, chr-F: 0.049\ntestset: URL, BLEU: 5.3, chr-F: 0.204\ntestset: URL, BLEU: 22.4, chr-F: 0.476\ntestset: URL, BLEU: 39.3, chr-F: 0.581\ntestset: URL, BLEU: 30.9, chr-F: 0.531\ntestset: URL, BLEU: 0.7, chr-F: 0.109\ntestset: URL, BLEU: 0.9, chr-F: 0.060\ntestset: URL, BLEU: 28.9, chr-F: 0.487\ntestset: URL, BLEU: 41.0, chr-F: 0.595\ntestset: URL, BLEU: 13.9, chr-F: 0.188\ntestset: URL, BLEU: 7.9, chr-F: 0.244\ntestset: URL, BLEU: 41.4, chr-F: 0.610\ntestset: URL, BLEU: 15.8, chr-F: 0.397\ntestset: URL, BLEU: 7.0, chr-F: 0.060\ntestset: URL, BLEU: 7.4, chr-F: 0.303\ntestset: URL, BLEU: 22.2, chr-F: 0.415\ntestset: URL, BLEU: 48.8, chr-F: 0.683\ntestset: URL, BLEU: 1.7, chr-F: 0.181\ntestset: URL, BLEU: 0.3, chr-F: 0.010\ntestset: URL, BLEU: 0.1, chr-F: 0.005\ntestset: URL, BLEU: 5.6, chr-F: 0.051\ntestset: URL, BLEU: 15.0, chr-F: 0.365\ntestset: URL, BLEU: 19.9, chr-F: 0.409\ntestset: URL, BLEU: 33.2, chr-F: 0.529\ntestset: URL, BLEU: 16.1, chr-F: 0.331\ntestset: URL, BLEU: 5.1, chr-F: 0.240\ntestset: URL, BLEU: 13.5, chr-F: 0.357\ntestset: URL, BLEU: 18.0, chr-F: 0.410\ntestset: URL, BLEU: 42.7, chr-F: 0.646\ntestset: URL, BLEU: 0.4, chr-F: 0.088\ntestset: URL, BLEU: 5.6, chr-F: 0.237\ntestset: URL, BLEU: 0.9, chr-F: 0.157\ntestset: URL, BLEU: 9.0, chr-F: 0.382\ntestset: URL, BLEU: 23.7, chr-F: 0.510\ntestset: URL, BLEU: 22.4, chr-F: 0.477\ntestset: URL, BLEU: 0.4, chr-F: 0.119\ntestset: URL, BLEU: 34.1, chr-F: 0.531\ntestset: URL, BLEU: 29.4, chr-F: 0.416\ntestset: URL, BLEU: 37.1, chr-F: 0.568\ntestset: URL, BLEU: 14.0, chr-F: 0.405\ntestset: URL, BLEU: 15.4, chr-F: 0.390\ntestset: URL, BLEU: 34.0, chr-F: 0.550\ntestset: URL, BLEU: 41.1, chr-F: 0.608\ntestset: URL, BLEU: 8.0, chr-F: 0.353\ntestset: URL, BLEU: 0.4, chr-F: 0.010\ntestset: URL, BLEU: 0.2, chr-F: 0.060\ntestset: URL, BLEU: 0.6, chr-F: 0.122\ntestset: URL, BLEU: 26.3, chr-F: 0.498\ntestset: URL, BLEU: 41.6, chr-F: 0.638\ntestset: URL, BLEU: 0.3, chr-F: 0.095\ntestset: URL, BLEU: 4.0, chr-F: 0.219\ntestset: URL, BLEU: 31.9, chr-F: 0.550\ntestset: URL, BLEU: 0.2, chr-F: 0.013\ntestset: URL, BLEU: 29.4, chr-F: 0.510\ntestset: URL, BLEU: 1.6, chr-F: 0.086\ntestset: URL, BLEU: 16.0, chr-F: 0.111\ntestset: URL, BLEU: 9.2, chr-F: 0.269\ntestset: URL, BLEU: 8.4, chr-F: 0.375\ntestset: URL, BLEU: 39.5, chr-F: 0.572\ntestset: URL, BLEU: 27.8, chr-F: 0.495\ntestset: URL, BLEU: 2.9, chr-F: 0.220\ntestset: URL, BLEU: 10.0, chr-F: 0.296\ntestset: URL, BLEU: 30.9, chr-F: 0.499\ntestset: URL, BLEU: 29.9, chr-F: 0.545\ntestset: URL, BLEU: 24.5, chr-F: 0.484\ntestset: URL, BLEU: 5.8, chr-F: 0.347\ntestset: URL, BLEU: 16.7, chr-F: 0.426\ntestset: URL, BLEU: 8.4, chr-F: 0.370\ntestset: URL, BLEU: 0.6, chr-F: 0.032\ntestset: URL, BLEU: 9.3, chr-F: 0.283\ntestset: URL, BLEU: 0.3, chr-F: 0.126\ntestset: URL, BLEU: 0.0, chr-F: 0.102\ntestset: URL, BLEU: 4.0, chr-F: 0.175\ntestset: URL, BLEU: 13.2, chr-F: 0.398\ntestset: URL, BLEU: 7.0, chr-F: 0.345\ntestset: URL, BLEU: 5.0, chr-F: 0.110\ntestset: URL, BLEU: 63.1, chr-F: 0.831\ntestset: URL, BLEU: 35.4, chr-F: 0.529\ntestset: URL, BLEU: 38.5, chr-F: 0.528\ntestset: URL, BLEU: 32.8, chr-F: 0.380\ntestset: URL, BLEU: 54.5, chr-F: 0.702\ntestset: URL, BLEU: 36.7, chr-F: 0.570\ntestset: URL, BLEU: 32.9, chr-F: 0.541\ntestset: URL, BLEU: 44.9, chr-F: 0.606\ntestset: URL, BLEU: 0.0, chr-F: 0.877\ntestset: URL, BLEU: 43.2, chr-F: 0.605\ntestset: URL, BLEU: 42.7, chr-F: 0.402\ntestset: URL, BLEU: 4.8, chr-F: 0.253\ntestset: URL, BLEU: 39.3, chr-F: 0.591\ntestset: URL, BLEU: 31.6, chr-F: 0.617\ntestset: URL, BLEU: 21.2, chr-F: 0.559\ntestset: URL, BLEU: 33.1, chr-F: 0.548\ntestset: URL, BLEU: 1.4, chr-F: 0.144\ntestset: URL, BLEU: 6.6, chr-F: 0.373\ntestset: URL, BLEU: 4.5, chr-F: 0.453\ntestset: URL, BLEU: 73.4, chr-F: 0.828\ntestset: URL, BLEU: 25.5, chr-F: 0.440\ntestset: URL, BLEU: 0.0, chr-F: 0.124\ntestset: URL, BLEU: 71.9, chr-F: 0.742\ntestset: URL, BLEU: 59.5, chr-F: 0.742\ntestset: URL, BLEU: 25.9, chr-F: 0.497\ntestset: URL, BLEU: 31.3, chr-F: 0.546\ntestset: URL, BLEU: 100.0, chr-F: 1.000\ntestset: URL, BLEU: 28.6, chr-F: 0.495\ntestset: URL, BLEU: 19.0, chr-F: 0.116\ntestset: URL, BLEU: 37.1, chr-F: 0.569\ntestset: URL, BLEU: 13.9, chr-F: 0.336\ntestset: URL, BLEU: 16.5, chr-F: 0.438\ntestset: URL, BLEU: 20.1, chr-F: 0.468\ntestset: URL, BLEU: 8.0, chr-F: 0.316\ntestset: URL, BLEU: 13.0, chr-F: 0.300\ntestset: URL, BLEU: 15.3, chr-F: 0.296\ntestset: URL, BLEU: 0.9, chr-F: 0.199\ntestset: URL, BLEU: 4.9, chr-F: 0.287\ntestset: URL, BLEU: 1.9, chr-F: 0.194\ntestset: URL, BLEU: 45.2, chr-F: 0.574\ntestset: URL, BLEU: 7.8, chr-F: 0.271\ntestset: URL, BLEU: 9.6, chr-F: 0.273\ntestset: URL, BLEU: 0.9, chr-F: 0.102\ntestset: URL, BLEU: 4.4, chr-F: 0.054\ntestset: URL, BLEU: 48.3, chr-F: 0.646\ntestset: URL, BLEU: 1.4, chr-F: 0.034\ntestset: URL, BLEU: 36.7, chr-F: 0.601\ntestset: URL, BLEU: 40.4, chr-F: 0.601\ntestset: URL, BLEU: 33.9, chr-F: 0.538\ntestset: URL, BLEU: 33.1, chr-F: 0.524\ntestset: URL, BLEU: 25.8, chr-F: 0.469\ntestset: URL, BLEU: 34.0, chr-F: 0.543\ntestset: URL, BLEU: 23.0, chr-F: 0.493\ntestset: URL, BLEU: 36.1, chr-F: 0.538\ntestset: URL, BLEU: 3.6, chr-F: 0.400\ntestset: URL, BLEU: 5.3, chr-F: 0.240\ntestset: URL, BLEU: 32.0, chr-F: 0.519\ntestset: URL, BLEU: 13.6, chr-F: 0.318\ntestset: URL, BLEU: 3.8, chr-F: 0.199\ntestset: URL, BLEU: 33.4, chr-F: 0.547\ntestset: URL, BLEU: 32.6, chr-F: 0.546\ntestset: URL, BLEU: 1.4, chr-F: 0.166\ntestset: URL, BLEU: 8.0, chr-F: 0.314\ntestset: URL, BLEU: 10.7, chr-F: 0.520\ntestset: URL, BLEU: 59.9, chr-F: 0.631\ntestset: URL, BLEU: 38.0, chr-F: 0.718\ntestset: URL, BLEU: 2.5, chr-F: 0.213\ntestset: URL, BLEU: 11.0, chr-F: 0.368\ntestset: URL, BLEU: 33.0, chr-F: 0.524\ntestset: URL, BLEU: 40.4, chr-F: 0.574\ntestset: URL, BLEU: 0.1, chr-F: 0.008\ntestset: URL, BLEU: 32.7, chr-F: 0.553\ntestset: URL, BLEU: 26.8, chr-F: 0.496\ntestset: URL, BLEU: 45.7, chr-F: 0.651\ntestset: URL, BLEU: 11.8, chr-F: 0.263\ntestset: URL, BLEU: 31.7, chr-F: 0.528\ntestset: URL, BLEU: 3.6, chr-F: 0.196\ntestset: URL, BLEU: 36.7, chr-F: 0.586\ntestset: URL, BLEU: 17.1, chr-F: 0.451\ntestset: URL, BLEU: 17.1, chr-F: 0.375\ntestset: URL, BLEU: 38.1, chr-F: 0.565\ntestset: URL, BLEU: 0.0, chr-F: 1.000\ntestset: URL, BLEU: 14.0, chr-F: 0.404\ntestset: URL, BLEU: 1.5, chr-F: 0.014\ntestset: URL, BLEU: 68.7, chr-F: 0.695\ntestset: URL, BLEU: 25.8, chr-F: 0.314\ntestset: URL, BLEU: 13.6, chr-F: 0.319\ntestset: URL, BLEU: 48.3, chr-F: 0.680\ntestset: URL, BLEU: 28.3, chr-F: 0.454\ntestset: URL, BLEU: 4.4, chr-F: 0.206\ntestset: URL, BLEU: 8.0, chr-F: 0.282\ntestset: URL, BLEU: 5.2, chr-F: 0.237\ntestset: URL, BLEU: 9.9, chr-F: 0.395\ntestset: URL, BLEU: 35.4, chr-F: 0.868\ntestset: URL, BLEU: 0.8, chr-F: 0.077\ntestset: URL, BLEU: 4.9, chr-F: 0.240\ntestset: URL, BLEU: 11.3, chr-F: 0.054\ntestset: URL, BLEU: 19.0, chr-F: 0.583\ntestset: URL, BLEU: 5.4, chr-F: 0.320\ntestset: URL, BLEU: 6.3, chr-F: 0.239\ntestset: URL, BLEU: 12.8, chr-F: 0.341\ntestset: URL, BLEU: 17.5, chr-F: 0.382\ntestset: URL, BLEU: 42.7, chr-F: 0.797\ntestset: URL, BLEU: 15.5, chr-F: 0.338\ntestset: URL, BLEU: 2.3, chr-F: 0.176\ntestset: URL, BLEU: 4.5, chr-F: 0.207\ntestset: URL, BLEU: 18.9, chr-F: 0.367\ntestset: URL, BLEU: 6.0, chr-F: 0.156\ntestset: URL, BLEU: 32.2, chr-F: 0.448\ntestset: URL, BLEU: 1.3, chr-F: 0.142\ntestset: URL, BLEU: 15.3, chr-F: 0.363\ntestset: URL, BLEU: 3.2, chr-F: 0.166\ntestset: URL, BLEU: 0.1, chr-F: 0.090\ntestset: URL, BLEU: 1.8, chr-F: 0.206\ntestset: URL, BLEU: 27.8, chr-F: 0.560\ntestset: URL, BLEU: 4.2, chr-F: 0.316\ntestset: URL, BLEU: 24.6, chr-F: 0.466\ntestset: URL, BLEU: 24.5, chr-F: 0.431\ntestset: URL, BLEU: 5.0, chr-F: 0.318\ntestset: URL, BLEU: 19.0, chr-F: 0.390\ntestset: URL, BLEU: 15.0, chr-F: 0.258\ntestset: URL, BLEU: 7.4, chr-F: 0.326\ntestset: URL, BLEU: 12.3, chr-F: 0.325\ntestset: URL, BLEU: 14.2, chr-F: 0.324\ntestset: URL, BLEU: 16.1, chr-F: 0.369\ntestset: URL, BLEU: 3.2, chr-F: 0.125\ntestset: URL, BLEU: 55.9, chr-F: 0.672\ntestset: URL, BLEU: 0.3, chr-F: 0.083\ntestset: URL, BLEU: 7.2, chr-F: 0.383\ntestset: URL, BLEU: 0.0, chr-F: 0.102\ntestset: URL, BLEU: 1.9, chr-F: 0.135", "### System Info:\n\n\n* hf\\_name: ine-ine\n* source\\_languages: ine\n* target\\_languages: ine\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ca', 'es', 'os', 'ro', 'fy', 'cy', 'sc', 'is', 'yi', 'lb', 'an', 'sq', 'fr', 'ht', 'rm', 'ps', 'af', 'uk', 'sl', 'lt', 'bg', 'be', 'gd', 'si', 'en', 'br', 'mk', 'or', 'mr', 'ru', 'fo', 'co', 'oc', 'pl', 'gl', 'nb', 'bn', 'id', 'hy', 'da', 'gv', 'nl', 'pt', 'hi', 'as', 'kw', 'ga', 'sv', 'gu', 'wa', 'lv', 'el', 'it', 'hr', 'ur', 'nn', 'de', 'cs', 'ine']\n* src\\_constituents: {'cat', 'spa', 'pap', 'mwl', 'lij', 'bos\\_Latn', 'lad\\_Latn', 'lat\\_Latn', 'pcd', 'oss', 'ron', 'fry', 'cym', 'awa', 'swg', 'zsm\\_Latn', 'srd', 'gcf\\_Latn', 'isl', 'yid', 'bho', 'ltz', 'kur\\_Latn', 'arg', 'pes\\_Thaa', 'sqi', 'csb\\_Latn', 'fra', 'hat', 'non\\_Latn', 'sco', 'pnb', 'roh', 'bul\\_Latn', 'pus', 'afr', 'ukr', 'slv', 'lit', 'tmw\\_Latn', 'hsb', 'tly\\_Latn', 'bul', 'bel', 'got\\_Goth', 'lat\\_Grek', 'ext', 'gla', 'mai', 'sin', 'hif\\_Latn', 'eng', 'bre', 'nob\\_Hebr', 'prg\\_Latn', 'ang\\_Latn', 'aln', 'mkd', 'ori', 'mar', 'afr\\_Arab', 'san\\_Deva', 'gos', 'rus', 'fao', 'orv\\_Cyrl', 'bel\\_Latn', 'cos', 'zza', 'grc\\_Grek', 'oci', 'mfe', 'gom', 'bjn', 'sgs', 'tgk\\_Cyrl', 'hye\\_Latn', 'pdc', 'srp\\_Cyrl', 'pol', 'ast', 'glg', 'pms', 'nob', 'ben', 'min', 'srp\\_Latn', 'zlm\\_Latn', 'ind', 'rom', 'hye', 'scn', 'enm\\_Latn', 'lmo', 'npi', 'pes', 'dan', 'rus\\_Latn', 'jdt\\_Cyrl', 'gsw', 'glv', 'nld', 'snd\\_Arab', 'kur\\_Arab', 'por', 'hin', 'dsb', 'asm', 'lad', 'frm\\_Latn', 'ksh', 'pan\\_Guru', 'cor', 'gle', 'swe', 'guj', 'wln', 'lav', 'ell', 'frr', 'rue', 'ita', 'hrv', 'urd', 'stq', 'nno', 'deu', 'lld\\_Latn', 'ces', 'egl', 'vec', 'max\\_Latn', 'pes\\_Latn', 'ltg', 'nds'}\n* tgt\\_constituents: {'cat', 'spa', 'pap', 'mwl', 'lij', 'bos\\_Latn', 'lad\\_Latn', 'lat\\_Latn', 'pcd', 'oss', 'ron', 'fry', 'cym', 'awa', 'swg', 'zsm\\_Latn', 'srd', 'gcf\\_Latn', 'isl', 'yid', 'bho', 'ltz', 'kur\\_Latn', 'arg', 'pes\\_Thaa', 'sqi', 'csb\\_Latn', 'fra', 'hat', 'non\\_Latn', 'sco', 'pnb', 'roh', 'bul\\_Latn', 'pus', 'afr', 'ukr', 'slv', 'lit', 'tmw\\_Latn', 'hsb', 'tly\\_Latn', 'bul', 'bel', 'got\\_Goth', 'lat\\_Grek', 'ext', 'gla', 'mai', 'sin', 'hif\\_Latn', 'eng', 'bre', 'nob\\_Hebr', 'prg\\_Latn', 'ang\\_Latn', 'aln', 'mkd', 'ori', 'mar', 'afr\\_Arab', 'san\\_Deva', 'gos', 'rus', 'fao', 'orv\\_Cyrl', 'bel\\_Latn', 'cos', 'zza', 'grc\\_Grek', 'oci', 'mfe', 'gom', 'bjn', 'sgs', 'tgk\\_Cyrl', 'hye\\_Latn', 'pdc', 'srp\\_Cyrl', 'pol', 'ast', 'glg', 'pms', 'nob', 'ben', 'min', 'srp\\_Latn', 'zlm\\_Latn', 'ind', 'rom', 'hye', 'scn', 'enm\\_Latn', 'lmo', 'npi', 'pes', 'dan', 'rus\\_Latn', 'jdt\\_Cyrl', 'gsw', 'glv', 'nld', 'snd\\_Arab', 'kur\\_Arab', 'por', 'hin', 'dsb', 'asm', 'lad', 'frm\\_Latn', 'ksh', 'pan\\_Guru', 'cor', 'gle', 'swe', 'guj', 'wln', 'lav', 'ell', 'frr', 'rue', 'ita', 'hrv', 'urd', 'stq', 'nno', 'deu', 'lld\\_Latn', 'ces', 'egl', 'vec', 'max\\_Latn', 'pes\\_Latn', 'ltg', 'nds'}\n* src\\_multilingual: True\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ine\n* tgt\\_alpha3: ine\n* short\\_pair: ine-ine\n* chrF2\\_score: 0.509\n* bleu: 30.8\n* brevity\\_penalty: 0.9890000000000001\n* ref\\_len: 69953.0\n* src\\_name: Indo-European languages\n* tgt\\_name: Indo-European languages\n* train\\_date: 2020-07-27\n* src\\_alpha2: ine\n* tgt\\_alpha2: ine\n* prefer\\_old: False\n* long\\_pair: ine-ine\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ca #es #os #ro #fy #cy #sc #is #yi #lb #an #sq #fr #ht #rm #ps #af #uk #sl #lt #bg #be #gd #si #en #br #mk #or #mr #ru #fo #co #oc #pl #gl #nb #bn #id #hy #da #gv #nl #pt #hi #as #kw #ga #sv #gu #wa #lv #el #it #hr #ur #nn #de #cs #ine #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### ine-ine\n\n\n* source group: Indo-European languages\n* target group: Indo-European languages\n* OPUS readme: ine-ine\n* model: transformer\n* source language(s): afr afr\\_Arab aln ang\\_Latn arg asm ast awa bel bel\\_Latn ben bho bjn bos\\_Latn bre bul bul\\_Latn cat ces cor cos csb\\_Latn cym dan deu dsb egl ell eng enm\\_Latn ext fao fra frm\\_Latn frr fry gcf\\_Latn gla gle glg glv gom gos got\\_Goth grc\\_Grek gsw guj hat hif\\_Latn hin hrv hsb hye hye\\_Latn ind isl ita jdt\\_Cyrl ksh kur\\_Arab kur\\_Latn lad lad\\_Latn lat\\_Grek lat\\_Latn lav lij lit lld\\_Latn lmo ltg ltz mai mar max\\_Latn mfe min mkd mwl nds nld nno nob nob\\_Hebr non\\_Latn npi oci ori orv\\_Cyrl oss pan\\_Guru pap pcd pdc pes pes\\_Latn pes\\_Thaa pms pnb pol por prg\\_Latn pus roh rom ron rue rus rus\\_Latn san\\_Deva scn sco sgs sin slv snd\\_Arab spa sqi srd srp\\_Cyrl srp\\_Latn stq swe swg tgk\\_Cyrl tly\\_Latn tmw\\_Latn ukr urd vec wln yid zlm\\_Latn zsm\\_Latn zza\n* target language(s): afr afr\\_Arab aln ang\\_Latn arg asm ast awa bel bel\\_Latn ben bho bjn bos\\_Latn bre bul bul\\_Latn cat ces cor cos csb\\_Latn cym dan deu dsb egl ell eng enm\\_Latn ext fao fra frm\\_Latn frr fry gcf\\_Latn gla gle glg glv gom gos got\\_Goth grc\\_Grek gsw guj hat hif\\_Latn hin hrv hsb hye hye\\_Latn ind isl ita jdt\\_Cyrl ksh kur\\_Arab kur\\_Latn lad lad\\_Latn lat\\_Grek lat\\_Latn lav lij lit lld\\_Latn lmo ltg ltz mai mar max\\_Latn mfe min mkd mwl nds nld nno nob nob\\_Hebr non\\_Latn npi oci ori orv\\_Cyrl oss pan\\_Guru pap pcd pdc pes pes\\_Latn pes\\_Thaa pms pnb pol por prg\\_Latn pus roh rom ron rue rus rus\\_Latn san\\_Deva scn sco sgs sin slv snd\\_Arab spa sqi srd srp\\_Cyrl srp\\_Latn stq swe swg tgk\\_Cyrl tly\\_Latn tmw\\_Latn ukr urd vec wln yid zlm\\_Latn zsm\\_Latn zza\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: euelections\\_dev2019.URL, BLEU: 19.2, chr-F: 0.482\ntestset: euelections\\_dev2019.URL, BLEU: 15.8, chr-F: 0.470\ntestset: URL, BLEU: 4.0, chr-F: 0.245\ntestset: URL, BLEU: 6.8, chr-F: 0.301\ntestset: URL, BLEU: 17.3, chr-F: 0.470\ntestset: URL, BLEU: 26.0, chr-F: 0.534\ntestset: URL, BLEU: 12.1, chr-F: 0.416\ntestset: URL, BLEU: 15.9, chr-F: 0.443\ntestset: URL, BLEU: 2.5, chr-F: 0.200\ntestset: URL, BLEU: 7.1, chr-F: 0.302\ntestset: URL, BLEU: 10.6, chr-F: 0.407\ntestset: URL, BLEU: 14.9, chr-F: 0.428\ntestset: URL, BLEU: 22.6, chr-F: 0.507\ntestset: URL, BLEU: 23.5, chr-F: 0.495\ntestset: URL, BLEU: 25.1, chr-F: 0.528\ntestset: URL, BLEU: 26.4, chr-F: 0.517\ntestset: URL, BLEU: 13.1, chr-F: 0.432\ntestset: URL, BLEU: 18.4, chr-F: 0.463\ntestset: URL, BLEU: 15.5, chr-F: 0.452\ntestset: URL, BLEU: 14.8, chr-F: 0.458\ntestset: URL, BLEU: 18.4, chr-F: 0.462\ntestset: URL, BLEU: 10.5, chr-F: 0.381\ntestset: URL, BLEU: 19.5, chr-F: 0.467\ntestset: URL, BLEU: 16.4, chr-F: 0.459\ntestset: URL, BLEU: 15.5, chr-F: 0.456\ntestset: URL, BLEU: 18.4, chr-F: 0.466\ntestset: URL, BLEU: 11.9, chr-F: 0.394\ntestset: URL, BLEU: 13.9, chr-F: 0.446\ntestset: URL, BLEU: 20.7, chr-F: 0.502\ntestset: URL, BLEU: 21.3, chr-F: 0.516\ntestset: URL, BLEU: 22.3, chr-F: 0.506\ntestset: URL, BLEU: 11.5, chr-F: 0.390\ntestset: URL, BLEU: 13.4, chr-F: 0.437\ntestset: URL, BLEU: 22.8, chr-F: 0.499\ntestset: URL, BLEU: 22.2, chr-F: 0.533\ntestset: URL, BLEU: 26.2, chr-F: 0.539\ntestset: URL, BLEU: 12.3, chr-F: 0.397\ntestset: URL, BLEU: 13.3, chr-F: 0.436\ntestset: URL, BLEU: 24.7, chr-F: 0.517\ntestset: URL, BLEU: 24.0, chr-F: 0.528\ntestset: URL, BLEU: 26.3, chr-F: 0.537\ntestset: URL, BLEU: 12.0, chr-F: 0.400\ntestset: URL, BLEU: 13.9, chr-F: 0.440\ntestset: URL, BLEU: 22.9, chr-F: 0.509\ntestset: URL, BLEU: 24.2, chr-F: 0.538\ntestset: URL, BLEU: 24.5, chr-F: 0.547\ntestset: URL, BLEU: 12.0, chr-F: 0.422\ntestset: URL, BLEU: 15.1, chr-F: 0.444\ntestset: URL, BLEU: 16.4, chr-F: 0.451\ntestset: URL, BLEU: 9.9, chr-F: 0.369\ntestset: URL, BLEU: 18.0, chr-F: 0.456\ntestset: URL, BLEU: 16.4, chr-F: 0.453\ntestset: URL, BLEU: 17.0, chr-F: 0.452\ntestset: URL, BLEU: 10.5, chr-F: 0.375\ntestset: URL, BLEU: 14.5, chr-F: 0.439\ntestset: URL, BLEU: 18.9, chr-F: 0.481\ntestset: URL, BLEU: 20.9, chr-F: 0.491\ntestset: URL, BLEU: 10.7, chr-F: 0.380\ntestset: URL, BLEU: 13.8, chr-F: 0.435\ntestset: URL, BLEU: 19.8, chr-F: 0.479\ntestset: URL, BLEU: 24.8, chr-F: 0.522\ntestset: URL, BLEU: 11.0, chr-F: 0.380\ntestset: URL, BLEU: 14.0, chr-F: 0.433\ntestset: URL, BLEU: 20.6, chr-F: 0.488\ntestset: URL, BLEU: 23.3, chr-F: 0.518\ntestset: URL, BLEU: 12.9, chr-F: 0.427\ntestset: URL, BLEU: 17.0, chr-F: 0.456\ntestset: URL, BLEU: 15.4, chr-F: 0.447\ntestset: URL, BLEU: 14.9, chr-F: 0.454\ntestset: URL, BLEU: 17.1, chr-F: 0.458\ntestset: URL, BLEU: 10.3, chr-F: 0.370\ntestset: URL, BLEU: 17.7, chr-F: 0.458\ntestset: URL, BLEU: 15.9, chr-F: 0.447\ntestset: URL, BLEU: 14.7, chr-F: 0.446\ntestset: URL, BLEU: 17.2, chr-F: 0.453\ntestset: URL, BLEU: 11.0, chr-F: 0.387\ntestset: URL, BLEU: 13.6, chr-F: 0.440\ntestset: URL, BLEU: 20.3, chr-F: 0.496\ntestset: URL, BLEU: 20.8, chr-F: 0.509\ntestset: URL, BLEU: 21.9, chr-F: 0.503\ntestset: URL, BLEU: 11.3, chr-F: 0.385\ntestset: URL, BLEU: 14.0, chr-F: 0.436\ntestset: URL, BLEU: 21.8, chr-F: 0.496\ntestset: URL, BLEU: 22.1, chr-F: 0.526\ntestset: URL, BLEU: 24.8, chr-F: 0.525\ntestset: URL, BLEU: 11.5, chr-F: 0.382\ntestset: URL, BLEU: 13.3, chr-F: 0.430\ntestset: URL, BLEU: 23.6, chr-F: 0.508\ntestset: URL, BLEU: 22.9, chr-F: 0.516\ntestset: URL, BLEU: 25.4, chr-F: 0.529\ntestset: URL, BLEU: 11.3, chr-F: 0.386\ntestset: URL, BLEU: 13.5, chr-F: 0.434\ntestset: URL, BLEU: 22.4, chr-F: 0.500\ntestset: URL, BLEU: 23.2, chr-F: 0.520\ntestset: URL, BLEU: 24.0, chr-F: 0.538\ntestset: URL, BLEU: 13.1, chr-F: 0.431\ntestset: URL, BLEU: 16.9, chr-F: 0.459\ntestset: URL, BLEU: 15.6, chr-F: 0.450\ntestset: URL, BLEU: 18.5, chr-F: 0.467\ntestset: URL, BLEU: 11.4, chr-F: 0.387\ntestset: URL, BLEU: 19.6, chr-F: 0.481\ntestset: URL, BLEU: 17.7, chr-F: 0.471\ntestset: URL, BLEU: 20.0, chr-F: 0.478\ntestset: URL, BLEU: 11.4, chr-F: 0.393\ntestset: URL, BLEU: 15.1, chr-F: 0.448\ntestset: URL, BLEU: 21.4, chr-F: 0.506\ntestset: URL, BLEU: 25.0, chr-F: 0.525\ntestset: URL, BLEU: 11.1, chr-F: 0.386\ntestset: URL, BLEU: 14.2, chr-F: 0.442\ntestset: URL, BLEU: 22.6, chr-F: 0.507\ntestset: URL, BLEU: 26.6, chr-F: 0.542\ntestset: URL, BLEU: 12.2, chr-F: 0.396\ntestset: URL, BLEU: 15.1, chr-F: 0.445\ntestset: URL, BLEU: 24.3, chr-F: 0.521\ntestset: URL, BLEU: 24.8, chr-F: 0.536\ntestset: URL, BLEU: 13.1, chr-F: 0.423\ntestset: URL, BLEU: 18.2, chr-F: 0.463\ntestset: URL, BLEU: 17.4, chr-F: 0.458\ntestset: URL, BLEU: 18.9, chr-F: 0.464\ntestset: URL, BLEU: 11.2, chr-F: 0.376\ntestset: URL, BLEU: 18.3, chr-F: 0.464\ntestset: URL, BLEU: 17.0, chr-F: 0.457\ntestset: URL, BLEU: 19.2, chr-F: 0.464\ntestset: URL, BLEU: 12.4, chr-F: 0.395\ntestset: URL, BLEU: 14.5, chr-F: 0.437\ntestset: URL, BLEU: 23.6, chr-F: 0.522\ntestset: URL, BLEU: 26.6, chr-F: 0.530\ntestset: URL, BLEU: 12.5, chr-F: 0.394\ntestset: URL, BLEU: 14.2, chr-F: 0.433\ntestset: URL, BLEU: 24.3, chr-F: 0.521\ntestset: URL, BLEU: 29.1, chr-F: 0.551\ntestset: URL, BLEU: 12.3, chr-F: 0.390\ntestset: URL, BLEU: 14.4, chr-F: 0.435\ntestset: URL, BLEU: 25.0, chr-F: 0.521\ntestset: URL, BLEU: 25.6, chr-F: 0.537\ntestset: URL, BLEU: 13.1, chr-F: 0.420\ntestset: URL, BLEU: 17.5, chr-F: 0.457\ntestset: URL, BLEU: 16.8, chr-F: 0.452\ntestset: URL, BLEU: 11.2, chr-F: 0.379\ntestset: URL, BLEU: 18.1, chr-F: 0.457\ntestset: URL, BLEU: 11.2, chr-F: 0.368\ntestset: URL, BLEU: 19.4, chr-F: 0.472\ntestset: URL, BLEU: 17.7, chr-F: 0.464\ntestset: URL, BLEU: 10.3, chr-F: 0.370\ntestset: URL, BLEU: 19.6, chr-F: 0.467\ntestset: URL, BLEU: 11.1, chr-F: 0.375\ntestset: URL, BLEU: 14.6, chr-F: 0.440\ntestset: URL, BLEU: 22.4, chr-F: 0.512\ntestset: URL, BLEU: 17.6, chr-F: 0.452\ntestset: URL, BLEU: 26.5, chr-F: 0.527\ntestset: URL, BLEU: 11.9, chr-F: 0.383\ntestset: URL, BLEU: 14.6, chr-F: 0.437\ntestset: URL, BLEU: 24.3, chr-F: 0.516\ntestset: URL, BLEU: 11.9, chr-F: 0.393\ntestset: URL, BLEU: 28.3, chr-F: 0.545\ntestset: URL, BLEU: 9.0, chr-F: 0.340\ntestset: URL, BLEU: 10.0, chr-F: 0.383\ntestset: URL, BLEU: 22.4, chr-F: 0.492\ntestset: URL, BLEU: 13.3, chr-F: 0.427\ntestset: URL, BLEU: 16.6, chr-F: 0.437\ntestset: URL, BLEU: 11.9, chr-F: 0.381\ntestset: URL, BLEU: 14.8, chr-F: 0.440\ntestset: URL, BLEU: 26.5, chr-F: 0.534\ntestset: URL, BLEU: 25.0, chr-F: 0.539\ntestset: URL, BLEU: 12.4, chr-F: 0.401\ntestset: URL, BLEU: 14.3, chr-F: 0.434\ntestset: URL, BLEU: 18.5, chr-F: 0.463\ntestset: URL, BLEU: 16.6, chr-F: 0.444\ntestset: URL, BLEU: 13.6, chr-F: 0.406\ntestset: URL, BLEU: 18.2, chr-F: 0.455\ntestset: URL, BLEU: 11.7, chr-F: 0.380\ntestset: URL, BLEU: 20.9, chr-F: 0.481\ntestset: URL, BLEU: 18.1, chr-F: 0.460\ntestset: URL, BLEU: 11.7, chr-F: 0.384\ntestset: URL, BLEU: 19.4, chr-F: 0.463\ntestset: URL, BLEU: 12.7, chr-F: 0.394\ntestset: URL, BLEU: 16.7, chr-F: 0.455\ntestset: URL, BLEU: 22.7, chr-F: 0.499\ntestset: URL, BLEU: 13.3, chr-F: 0.408\ntestset: URL, BLEU: 23.6, chr-F: 0.506\ntestset: URL, BLEU: 11.8, chr-F: 0.379\ntestset: URL, BLEU: 15.6, chr-F: 0.446\ntestset: URL, BLEU: 23.6, chr-F: 0.506\ntestset: URL, BLEU: 12.9, chr-F: 0.399\ntestset: URL, BLEU: 25.3, chr-F: 0.519\ntestset: URL, BLEU: 11.6, chr-F: 0.376\ntestset: URL, BLEU: 12.4, chr-F: 0.410\ntestset: URL, BLEU: 17.8, chr-F: 0.448\ntestset: URL, BLEU: 14.8, chr-F: 0.434\ntestset: URL, BLEU: 17.9, chr-F: 0.446\ntestset: URL, BLEU: 12.5, chr-F: 0.391\ntestset: URL, BLEU: 15.9, chr-F: 0.449\ntestset: URL, BLEU: 24.0, chr-F: 0.518\ntestset: URL, BLEU: 24.3, chr-F: 0.522\ntestset: URL, BLEU: 13.9, chr-F: 0.411\ntestset: URL, BLEU: 19.0, chr-F: 0.475\ntestset: URL, BLEU: 19.2, chr-F: 0.468\ntestset: URL, BLEU: 23.9, chr-F: 0.521\ntestset: URL, BLEU: 5.9, chr-F: 0.268\ntestset: URL, BLEU: 8.8, chr-F: 0.348\ntestset: URL, BLEU: 19.1, chr-F: 0.475\ntestset: URL, BLEU: 17.9, chr-F: 0.450\ntestset: URL, BLEU: 12.1, chr-F: 0.392\ntestset: URL, BLEU: 21.1, chr-F: 0.480\ntestset: URL, BLEU: 18.7, chr-F: 0.475\ntestset: URL, BLEU: 15.4, chr-F: 0.431\ntestset: URL, BLEU: 18.1, chr-F: 0.454\ntestset: URL, BLEU: 18.6, chr-F: 0.465\ntestset: URL, BLEU: 13.3, chr-F: 0.403\ntestset: URL, BLEU: 24.0, chr-F: 0.508\ntestset: URL, BLEU: 21.4, chr-F: 0.494\ntestset: URL, BLEU: 16.8, chr-F: 0.457\ntestset: URL, BLEU: 24.9, chr-F: 0.522\ntestset: URL, BLEU: 13.7, chr-F: 0.417\ntestset: URL, BLEU: 17.3, chr-F: 0.453\ntestset: URL, BLEU: 16.7, chr-F: 0.444\ntestset: URL, BLEU: 10.9, chr-F: 0.375\ntestset: URL, BLEU: 21.5, chr-F: 0.484\ntestset: URL, BLEU: 17.5, chr-F: 0.464\ntestset: URL, BLEU: 9.1, chr-F: 0.388\ntestset: URL, BLEU: 11.5, chr-F: 0.404\ntestset: URL, BLEU: 14.8, chr-F: 0.432\ntestset: URL, BLEU: 19.3, chr-F: 0.467\ntestset: URL, BLEU: 17.1, chr-F: 0.450\ntestset: URL, BLEU: 10.9, chr-F: 0.380\ntestset: URL, BLEU: 26.0, chr-F: 0.518\ntestset: URL, BLEU: 24.3, chr-F: 0.514\ntestset: URL, BLEU: 12.5, chr-F: 0.417\ntestset: URL, BLEU: 16.4, chr-F: 0.443\ntestset: URL, BLEU: 13.9, chr-F: 0.432\ntestset: URL, BLEU: 11.7, chr-F: 0.383\ntestset: URL, BLEU: 22.2, chr-F: 0.483\ntestset: URL, BLEU: 20.1, chr-F: 0.496\ntestset: URL, BLEU: 12.3, chr-F: 0.389\ntestset: URL, BLEU: 22.0, chr-F: 0.497\ntestset: URL, BLEU: 3.1, chr-F: 0.208\ntestset: URL, BLEU: 7.8, chr-F: 0.369\ntestset: URL, BLEU: 14.6, chr-F: 0.408\ntestset: URL, BLEU: 16.4, chr-F: 0.483\ntestset: URL, BLEU: 6.1, chr-F: 0.288\ntestset: URL, BLEU: 16.9, chr-F: 0.456\ntestset: URL, BLEU: 20.2, chr-F: 0.468\ntestset: URL, BLEU: 16.0, chr-F: 0.152\ntestset: URL, BLEU: 10.2, chr-F: 0.333\ntestset: URL, BLEU: 32.6, chr-F: 0.651\ntestset: URL, BLEU: 34.5, chr-F: 0.556\ntestset: URL, BLEU: 48.1, chr-F: 0.638\ntestset: URL, BLEU: 10.2, chr-F: 0.416\ntestset: URL, BLEU: 41.9, chr-F: 0.612\ntestset: URL, BLEU: 0.0, chr-F: 0.112\ntestset: URL, BLEU: 0.3, chr-F: 0.068\ntestset: URL, BLEU: 12.2, chr-F: 0.419\ntestset: URL, BLEU: 48.7, chr-F: 0.637\ntestset: URL, BLEU: 8.4, chr-F: 0.407\ntestset: URL, BLEU: 19.0, chr-F: 0.357\ntestset: URL, BLEU: 0.0, chr-F: 0.238\ntestset: URL, BLEU: 1.4, chr-F: 0.080\ntestset: URL, BLEU: 45.7, chr-F: 0.643\ntestset: URL, BLEU: 55.3, chr-F: 0.687\ntestset: URL, BLEU: 39.3, chr-F: 0.563\ntestset: URL, BLEU: 33.9, chr-F: 0.586\ntestset: URL, BLEU: 22.6, chr-F: 0.475\ntestset: URL, BLEU: 32.1, chr-F: 0.525\ntestset: URL, BLEU: 44.1, chr-F: 0.611\ntestset: URL, BLEU: 71.6, chr-F: 0.814\ntestset: URL, BLEU: 31.0, chr-F: 0.481\ntestset: URL, BLEU: 100.0, chr-F: 1.000\ntestset: URL, BLEU: 0.0, chr-F: 0.133\ntestset: URL, BLEU: 5.5, chr-F: 0.129\ntestset: URL, BLEU: 22.2, chr-F: 0.345\ntestset: URL, BLEU: 6.3, chr-F: 0.251\ntestset: URL, BLEU: 7.9, chr-F: 0.255\ntestset: URL, BLEU: 0.8, chr-F: 0.133\ntestset: URL, BLEU: 16.0, chr-F: 0.086\ntestset: URL, BLEU: 6.0, chr-F: 0.185\ntestset: URL, BLEU: 0.6, chr-F: 0.000\ntestset: URL, BLEU: 16.0, chr-F: 0.102\ntestset: URL, BLEU: 13.2, chr-F: 0.301\ntestset: URL, BLEU: 7.6, chr-F: 0.062\ntestset: URL, BLEU: 0.2, chr-F: 0.025\ntestset: URL, BLEU: 6.6, chr-F: 0.198\ntestset: URL, BLEU: 5.5, chr-F: 0.121\ntestset: URL, BLEU: 11.4, chr-F: 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chr-F: 0.527\ntestset: URL, BLEU: 41.5, chr-F: 0.616\ntestset: URL, BLEU: 100.0, chr-F: 1.000\ntestset: URL, BLEU: 30.8, chr-F: 0.518\ntestset: URL, BLEU: 36.6, chr-F: 0.578\ntestset: URL, BLEU: 53.8, chr-F: 0.696\ntestset: URL, BLEU: 4.8, chr-F: 0.184\ntestset: URL, BLEU: 15.9, chr-F: 0.489\ntestset: URL, BLEU: 21.7, chr-F: 0.544\ntestset: URL, BLEU: 13.0, chr-F: 0.252\ntestset: URL, BLEU: 37.5, chr-F: 0.566\ntestset: URL, BLEU: 0.6, chr-F: 0.131\ntestset: URL, BLEU: 20.0, chr-F: 0.580\ntestset: URL, BLEU: 16.5, chr-F: 0.389\ntestset: URL, BLEU: 19.6, chr-F: 0.450\ntestset: URL, BLEU: 34.5, chr-F: 0.319\ntestset: URL, BLEU: 3.2, chr-F: 0.196\ntestset: URL, BLEU: 32.6, chr-F: 0.517\ntestset: URL, BLEU: 28.4, chr-F: 0.503\ntestset: URL, BLEU: 24.3, chr-F: 0.465\ntestset: URL, BLEU: 0.2, chr-F: 0.043\ntestset: URL, BLEU: 2.4, chr-F: 0.020\ntestset: URL, BLEU: 4.4, chr-F: 0.178\ntestset: URL, BLEU: 11.3, chr-F: 0.378\ntestset: URL, BLEU: 37.8, chr-F: 0.579\ntestset: URL, BLEU: 0.1, chr-F: 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0.273\ntestset: URL, BLEU: 0.9, chr-F: 0.102\ntestset: URL, BLEU: 4.4, chr-F: 0.054\ntestset: URL, BLEU: 48.3, chr-F: 0.646\ntestset: URL, BLEU: 1.4, chr-F: 0.034\ntestset: URL, BLEU: 36.7, chr-F: 0.601\ntestset: URL, BLEU: 40.4, chr-F: 0.601\ntestset: URL, BLEU: 33.9, chr-F: 0.538\ntestset: URL, BLEU: 33.1, chr-F: 0.524\ntestset: URL, BLEU: 25.8, chr-F: 0.469\ntestset: URL, BLEU: 34.0, chr-F: 0.543\ntestset: URL, BLEU: 23.0, chr-F: 0.493\ntestset: URL, BLEU: 36.1, chr-F: 0.538\ntestset: URL, BLEU: 3.6, chr-F: 0.400\ntestset: URL, BLEU: 5.3, chr-F: 0.240\ntestset: URL, BLEU: 32.0, chr-F: 0.519\ntestset: URL, BLEU: 13.6, chr-F: 0.318\ntestset: URL, BLEU: 3.8, chr-F: 0.199\ntestset: URL, BLEU: 33.4, chr-F: 0.547\ntestset: URL, BLEU: 32.6, chr-F: 0.546\ntestset: URL, BLEU: 1.4, chr-F: 0.166\ntestset: URL, BLEU: 8.0, chr-F: 0.314\ntestset: URL, BLEU: 10.7, chr-F: 0.520\ntestset: URL, BLEU: 59.9, chr-F: 0.631\ntestset: URL, BLEU: 38.0, chr-F: 0.718\ntestset: URL, BLEU: 2.5, chr-F: 0.213\ntestset: URL, BLEU: 11.0, chr-F: 0.368\ntestset: URL, BLEU: 33.0, chr-F: 0.524\ntestset: URL, BLEU: 40.4, chr-F: 0.574\ntestset: URL, BLEU: 0.1, chr-F: 0.008\ntestset: URL, BLEU: 32.7, chr-F: 0.553\ntestset: URL, BLEU: 26.8, chr-F: 0.496\ntestset: URL, BLEU: 45.7, chr-F: 0.651\ntestset: URL, BLEU: 11.8, chr-F: 0.263\ntestset: URL, BLEU: 31.7, chr-F: 0.528\ntestset: URL, BLEU: 3.6, chr-F: 0.196\ntestset: URL, BLEU: 36.7, chr-F: 0.586\ntestset: URL, BLEU: 17.1, chr-F: 0.451\ntestset: URL, BLEU: 17.1, chr-F: 0.375\ntestset: URL, BLEU: 38.1, chr-F: 0.565\ntestset: URL, BLEU: 0.0, chr-F: 1.000\ntestset: URL, BLEU: 14.0, chr-F: 0.404\ntestset: URL, BLEU: 1.5, chr-F: 0.014\ntestset: URL, BLEU: 68.7, chr-F: 0.695\ntestset: URL, BLEU: 25.8, chr-F: 0.314\ntestset: URL, BLEU: 13.6, chr-F: 0.319\ntestset: URL, BLEU: 48.3, chr-F: 0.680\ntestset: URL, BLEU: 28.3, chr-F: 0.454\ntestset: URL, BLEU: 4.4, chr-F: 0.206\ntestset: URL, BLEU: 8.0, chr-F: 0.282\ntestset: URL, BLEU: 5.2, chr-F: 0.237\ntestset: URL, BLEU: 9.9, chr-F: 0.395\ntestset: URL, BLEU: 35.4, chr-F: 0.868\ntestset: URL, BLEU: 0.8, chr-F: 0.077\ntestset: URL, BLEU: 4.9, chr-F: 0.240\ntestset: URL, BLEU: 11.3, chr-F: 0.054\ntestset: URL, BLEU: 19.0, chr-F: 0.583\ntestset: URL, BLEU: 5.4, chr-F: 0.320\ntestset: URL, BLEU: 6.3, chr-F: 0.239\ntestset: URL, BLEU: 12.8, chr-F: 0.341\ntestset: URL, BLEU: 17.5, chr-F: 0.382\ntestset: URL, BLEU: 42.7, chr-F: 0.797\ntestset: URL, BLEU: 15.5, chr-F: 0.338\ntestset: URL, BLEU: 2.3, chr-F: 0.176\ntestset: URL, BLEU: 4.5, chr-F: 0.207\ntestset: URL, BLEU: 18.9, chr-F: 0.367\ntestset: URL, BLEU: 6.0, chr-F: 0.156\ntestset: URL, BLEU: 32.2, chr-F: 0.448\ntestset: URL, BLEU: 1.3, chr-F: 0.142\ntestset: URL, BLEU: 15.3, chr-F: 0.363\ntestset: URL, BLEU: 3.2, chr-F: 0.166\ntestset: URL, BLEU: 0.1, chr-F: 0.090\ntestset: URL, BLEU: 1.8, chr-F: 0.206\ntestset: URL, BLEU: 27.8, chr-F: 0.560\ntestset: URL, BLEU: 4.2, chr-F: 0.316\ntestset: URL, BLEU: 24.6, chr-F: 0.466\ntestset: URL, BLEU: 24.5, chr-F: 0.431\ntestset: URL, BLEU: 5.0, chr-F: 0.318\ntestset: URL, BLEU: 19.0, chr-F: 0.390\ntestset: URL, BLEU: 15.0, chr-F: 0.258\ntestset: URL, BLEU: 7.4, chr-F: 0.326\ntestset: URL, BLEU: 12.3, chr-F: 0.325\ntestset: URL, BLEU: 14.2, chr-F: 0.324\ntestset: URL, BLEU: 16.1, chr-F: 0.369\ntestset: URL, BLEU: 3.2, chr-F: 0.125\ntestset: URL, BLEU: 55.9, chr-F: 0.672\ntestset: URL, BLEU: 0.3, chr-F: 0.083\ntestset: URL, BLEU: 7.2, chr-F: 0.383\ntestset: URL, BLEU: 0.0, chr-F: 0.102\ntestset: URL, BLEU: 1.9, chr-F: 0.135", "### System Info:\n\n\n* hf\\_name: ine-ine\n* source\\_languages: ine\n* target\\_languages: ine\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ca', 'es', 'os', 'ro', 'fy', 'cy', 'sc', 'is', 'yi', 'lb', 'an', 'sq', 'fr', 'ht', 'rm', 'ps', 'af', 'uk', 'sl', 'lt', 'bg', 'be', 'gd', 'si', 'en', 'br', 'mk', 'or', 'mr', 'ru', 'fo', 'co', 'oc', 'pl', 'gl', 'nb', 'bn', 'id', 'hy', 'da', 'gv', 'nl', 'pt', 'hi', 'as', 'kw', 'ga', 'sv', 'gu', 'wa', 'lv', 'el', 'it', 'hr', 'ur', 'nn', 'de', 'cs', 'ine']\n* src\\_constituents: {'cat', 'spa', 'pap', 'mwl', 'lij', 'bos\\_Latn', 'lad\\_Latn', 'lat\\_Latn', 'pcd', 'oss', 'ron', 'fry', 'cym', 'awa', 'swg', 'zsm\\_Latn', 'srd', 'gcf\\_Latn', 'isl', 'yid', 'bho', 'ltz', 'kur\\_Latn', 'arg', 'pes\\_Thaa', 'sqi', 'csb\\_Latn', 'fra', 'hat', 'non\\_Latn', 'sco', 'pnb', 'roh', 'bul\\_Latn', 'pus', 'afr', 'ukr', 'slv', 'lit', 'tmw\\_Latn', 'hsb', 'tly\\_Latn', 'bul', 'bel', 'got\\_Goth', 'lat\\_Grek', 'ext', 'gla', 'mai', 'sin', 'hif\\_Latn', 'eng', 'bre', 'nob\\_Hebr', 'prg\\_Latn', 'ang\\_Latn', 'aln', 'mkd', 'ori', 'mar', 'afr\\_Arab', 'san\\_Deva', 'gos', 'rus', 'fao', 'orv\\_Cyrl', 'bel\\_Latn', 'cos', 'zza', 'grc\\_Grek', 'oci', 'mfe', 'gom', 'bjn', 'sgs', 'tgk\\_Cyrl', 'hye\\_Latn', 'pdc', 'srp\\_Cyrl', 'pol', 'ast', 'glg', 'pms', 'nob', 'ben', 'min', 'srp\\_Latn', 'zlm\\_Latn', 'ind', 'rom', 'hye', 'scn', 'enm\\_Latn', 'lmo', 'npi', 'pes', 'dan', 'rus\\_Latn', 'jdt\\_Cyrl', 'gsw', 'glv', 'nld', 'snd\\_Arab', 'kur\\_Arab', 'por', 'hin', 'dsb', 'asm', 'lad', 'frm\\_Latn', 'ksh', 'pan\\_Guru', 'cor', 'gle', 'swe', 'guj', 'wln', 'lav', 'ell', 'frr', 'rue', 'ita', 'hrv', 'urd', 'stq', 'nno', 'deu', 'lld\\_Latn', 'ces', 'egl', 'vec', 'max\\_Latn', 'pes\\_Latn', 'ltg', 'nds'}\n* tgt\\_constituents: {'cat', 'spa', 'pap', 'mwl', 'lij', 'bos\\_Latn', 'lad\\_Latn', 'lat\\_Latn', 'pcd', 'oss', 'ron', 'fry', 'cym', 'awa', 'swg', 'zsm\\_Latn', 'srd', 'gcf\\_Latn', 'isl', 'yid', 'bho', 'ltz', 'kur\\_Latn', 'arg', 'pes\\_Thaa', 'sqi', 'csb\\_Latn', 'fra', 'hat', 'non\\_Latn', 'sco', 'pnb', 'roh', 'bul\\_Latn', 'pus', 'afr', 'ukr', 'slv', 'lit', 'tmw\\_Latn', 'hsb', 'tly\\_Latn', 'bul', 'bel', 'got\\_Goth', 'lat\\_Grek', 'ext', 'gla', 'mai', 'sin', 'hif\\_Latn', 'eng', 'bre', 'nob\\_Hebr', 'prg\\_Latn', 'ang\\_Latn', 'aln', 'mkd', 'ori', 'mar', 'afr\\_Arab', 'san\\_Deva', 'gos', 'rus', 'fao', 'orv\\_Cyrl', 'bel\\_Latn', 'cos', 'zza', 'grc\\_Grek', 'oci', 'mfe', 'gom', 'bjn', 'sgs', 'tgk\\_Cyrl', 'hye\\_Latn', 'pdc', 'srp\\_Cyrl', 'pol', 'ast', 'glg', 'pms', 'nob', 'ben', 'min', 'srp\\_Latn', 'zlm\\_Latn', 'ind', 'rom', 'hye', 'scn', 'enm\\_Latn', 'lmo', 'npi', 'pes', 'dan', 'rus\\_Latn', 'jdt\\_Cyrl', 'gsw', 'glv', 'nld', 'snd\\_Arab', 'kur\\_Arab', 'por', 'hin', 'dsb', 'asm', 'lad', 'frm\\_Latn', 'ksh', 'pan\\_Guru', 'cor', 'gle', 'swe', 'guj', 'wln', 'lav', 'ell', 'frr', 'rue', 'ita', 'hrv', 'urd', 'stq', 'nno', 'deu', 'lld\\_Latn', 'ces', 'egl', 'vec', 'max\\_Latn', 'pes\\_Latn', 'ltg', 'nds'}\n* src\\_multilingual: True\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ine\n* tgt\\_alpha3: ine\n* short\\_pair: ine-ine\n* chrF2\\_score: 0.509\n* bleu: 30.8\n* brevity\\_penalty: 0.9890000000000001\n* ref\\_len: 69953.0\n* src\\_name: Indo-European languages\n* tgt\\_name: Indo-European languages\n* train\\_date: 2020-07-27\n* src\\_alpha2: ine\n* tgt\\_alpha2: ine\n* prefer\\_old: False\n* long\\_pair: ine-ine\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 178, 43310, 2289 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ca #es #os #ro #fy #cy #sc #is #yi #lb #an #sq #fr #ht #rm #ps #af #uk #sl #lt #bg #be #gd #si #en #br #mk #or #mr #ru #fo #co #oc #pl #gl #nb #bn #id #hy #da #gv #nl #pt #hi #as #kw #ga #sv #gu #wa #lv #el #it #hr #ur #nn #de #cs #ine #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n" ]
translation	transformers	### isl-deu * source group: Icelandic * target group: German * OPUS readme: [isl-deu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/isl-deu/README.md) * model: transformer-align * source language(s): isl * target language(s): deu * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/isl-deu/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/isl-deu/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/isl-deu/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.isl.deu \| 49.2 \| 0.661 \| ### System Info: - hf_name: isl-deu - source_languages: isl - target_languages: deu - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/isl-deu/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['is', 'de'] - src_constituents: {'isl'} - tgt_constituents: {'deu'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/isl-deu/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/isl-deu/opus-2020-06-17.test.txt - src_alpha3: isl - tgt_alpha3: deu - short_pair: is-de - chrF2_score: 0.6609999999999999 - bleu: 49.2 - brevity_penalty: 0.998 - ref_len: 6265.0 - src_name: Icelandic - tgt_name: German - train_date: 2020-06-17 - src_alpha2: is - tgt_alpha2: de - prefer_old: False - long_pair: isl-deu - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["is", "de"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-is-de	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "is", "de", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "is", "de" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #is #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### isl-deu * source group: Icelandic * target group: German * OPUS readme: isl-deu * model: transformer-align * source language(s): isl * target language(s): deu * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 49.2, chr-F: 0.661 ### System Info: * hf\_name: isl-deu * source\_languages: isl * target\_languages: deu * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['is', 'de'] * src\_constituents: {'isl'} * tgt\_constituents: {'deu'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: isl * tgt\_alpha3: deu * short\_pair: is-de * chrF2\_score: 0.6609999999999999 * bleu: 49.2 * brevity\_penalty: 0.998 * ref\_len: 6265.0 * src\_name: Icelandic * tgt\_name: German * train\_date: 2020-06-17 * src\_alpha2: is * tgt\_alpha2: de * prefer\_old: False * long\_pair: isl-deu * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### isl-deu\n\n\n* source group: Icelandic\n* target group: German\n* OPUS readme: isl-deu\n* model: transformer-align\n* source language(s): isl\n* target language(s): deu\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 49.2, chr-F: 0.661", "### System Info:\n\n\n* hf\\_name: isl-deu\n* source\\_languages: isl\n* target\\_languages: deu\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['is', 'de']\n* src\\_constituents: {'isl'}\n* tgt\\_constituents: {'deu'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: isl\n* tgt\\_alpha3: deu\n* short\\_pair: is-de\n* chrF2\\_score: 0.6609999999999999\n* bleu: 49.2\n* brevity\\_penalty: 0.998\n* ref\\_len: 6265.0\n* src\\_name: Icelandic\n* tgt\\_name: German\n* train\\_date: 2020-06-17\n* src\\_alpha2: is\n* tgt\\_alpha2: de\n* prefer\\_old: False\n* long\\_pair: isl-deu\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #is #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### isl-deu\n\n\n* source group: Icelandic\n* target group: German\n* OPUS readme: isl-deu\n* model: transformer-align\n* source language(s): isl\n* target language(s): deu\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 49.2, chr-F: 0.661", "### System Info:\n\n\n* hf\\_name: isl-deu\n* source\\_languages: isl\n* target\\_languages: deu\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['is', 'de']\n* src\\_constituents: {'isl'}\n* tgt\\_constituents: {'deu'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: isl\n* tgt\\_alpha3: deu\n* short\\_pair: is-de\n* chrF2\\_score: 0.6609999999999999\n* bleu: 49.2\n* brevity\\_penalty: 0.998\n* ref\\_len: 6265.0\n* src\\_name: Icelandic\n* tgt\\_name: German\n* train\\_date: 2020-06-17\n* src\\_alpha2: is\n* tgt\\_alpha2: de\n* prefer\\_old: False\n* long\\_pair: isl-deu\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 137, 413 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #is #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### isl-deu\n\n\n* source group: Icelandic\n* target group: German\n* OPUS readme: isl-deu\n* model: transformer-align\n* source language(s): isl\n* target language(s): deu\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 49.2, chr-F: 0.661### System Info:\n\n\n* hf\\_name: isl-deu\n* source\\_languages: isl\n* target\\_languages: deu\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['is', 'de']\n* src\\_constituents: {'isl'}\n* tgt\\_constituents: {'deu'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: isl\n* tgt\\_alpha3: deu\n* short\\_pair: is-de\n* chrF2\\_score: 0.6609999999999999\n* bleu: 49.2\n* brevity\\_penalty: 0.998\n* ref\\_len: 6265.0\n* src\\_name: Icelandic\n* tgt\\_name: German\n* train\\_date: 2020-06-17\n* src\\_alpha2: is\n* tgt\\_alpha2: de\n* prefer\\_old: False\n* long\\_pair: isl-deu\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### opus-mt-is-en * source languages: is * target languages: en * OPUS readme: [is-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/is-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/is-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/is-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/is-en/opus-2019-12-18.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.is.en \| 51.4 \| 0.672 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-is-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "is", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #is #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-is-en * source languages: is * target languages: en * OPUS readme: is-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 51.4, chr-F: 0.672	[ "### opus-mt-is-en\n\n\n* source languages: is\n* target languages: en\n* OPUS readme: is-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 51.4, chr-F: 0.672" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #is #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-is-en\n\n\n* source languages: is\n* target languages: en\n* OPUS readme: is-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 51.4, chr-F: 0.672" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #is #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-is-en\n\n\n* source languages: is\n* target languages: en\n* OPUS readme: is-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 51.4, chr-F: 0.672" ]
translation	transformers	### isl-epo * source group: Icelandic * target group: Esperanto * OPUS readme: [isl-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/isl-epo/README.md) * model: transformer-align * source language(s): isl * target language(s): epo * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/isl-epo/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/isl-epo/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/isl-epo/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.isl.epo \| 11.8 \| 0.314 \| ### System Info: - hf_name: isl-epo - source_languages: isl - target_languages: epo - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/isl-epo/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['is', 'eo'] - src_constituents: {'isl'} - tgt_constituents: {'epo'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/isl-epo/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/isl-epo/opus-2020-06-16.test.txt - src_alpha3: isl - tgt_alpha3: epo - short_pair: is-eo - chrF2_score: 0.314 - bleu: 11.8 - brevity_penalty: 1.0 - ref_len: 1528.0 - src_name: Icelandic - tgt_name: Esperanto - train_date: 2020-06-16 - src_alpha2: is - tgt_alpha2: eo - prefer_old: False - long_pair: isl-epo - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["is", "eo"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-is-eo	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "is", "eo", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "is", "eo" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #is #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### isl-epo * source group: Icelandic * target group: Esperanto * OPUS readme: isl-epo * model: transformer-align * source language(s): isl * target language(s): epo * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 11.8, chr-F: 0.314 ### System Info: * hf\_name: isl-epo * source\_languages: isl * target\_languages: epo * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['is', 'eo'] * src\_constituents: {'isl'} * tgt\_constituents: {'epo'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: isl * tgt\_alpha3: epo * short\_pair: is-eo * chrF2\_score: 0.314 * bleu: 11.8 * brevity\_penalty: 1.0 * ref\_len: 1528.0 * src\_name: Icelandic * tgt\_name: Esperanto * train\_date: 2020-06-16 * src\_alpha2: is * tgt\_alpha2: eo * prefer\_old: False * long\_pair: isl-epo * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### isl-epo\n\n\n* source group: Icelandic\n* target group: Esperanto\n* OPUS readme: isl-epo\n* model: transformer-align\n* source language(s): isl\n* target language(s): epo\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 11.8, chr-F: 0.314", "### System Info:\n\n\n* hf\\_name: isl-epo\n* source\\_languages: isl\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['is', 'eo']\n* src\\_constituents: {'isl'}\n* tgt\\_constituents: {'epo'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: isl\n* tgt\\_alpha3: epo\n* short\\_pair: is-eo\n* chrF2\\_score: 0.314\n* bleu: 11.8\n* brevity\\_penalty: 1.0\n* ref\\_len: 1528.0\n* src\\_name: Icelandic\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: is\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: isl-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #is #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### isl-epo\n\n\n* source group: Icelandic\n* target group: Esperanto\n* OPUS readme: isl-epo\n* model: transformer-align\n* source language(s): isl\n* target language(s): epo\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 11.8, chr-F: 0.314", "### System Info:\n\n\n* hf\\_name: isl-epo\n* source\\_languages: isl\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['is', 'eo']\n* src\\_constituents: {'isl'}\n* tgt\\_constituents: {'epo'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: isl\n* tgt\\_alpha3: epo\n* short\\_pair: is-eo\n* chrF2\\_score: 0.314\n* bleu: 11.8\n* brevity\\_penalty: 1.0\n* ref\\_len: 1528.0\n* src\\_name: Icelandic\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: is\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: isl-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 52, 138, 404 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #is #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### isl-epo\n\n\n* source group: Icelandic\n* target group: Esperanto\n* OPUS readme: isl-epo\n* model: transformer-align\n* source language(s): isl\n* target language(s): epo\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 11.8, chr-F: 0.314### System Info:\n\n\n* hf\\_name: isl-epo\n* source\\_languages: isl\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['is', 'eo']\n* src\\_constituents: {'isl'}\n* tgt\\_constituents: {'epo'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: isl\n* tgt\\_alpha3: epo\n* short\\_pair: is-eo\n* chrF2\\_score: 0.314\n* bleu: 11.8\n* brevity\\_penalty: 1.0\n* ref\\_len: 1528.0\n* src\\_name: Icelandic\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: is\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: isl-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### isl-spa * source group: Icelandic * target group: Spanish * OPUS readme: [isl-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/isl-spa/README.md) * model: transformer-align * source language(s): isl * target language(s): spa * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/isl-spa/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/isl-spa/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/isl-spa/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.isl.spa \| 51.2 \| 0.665 \| ### System Info: - hf_name: isl-spa - source_languages: isl - target_languages: spa - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/isl-spa/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['is', 'es'] - src_constituents: {'isl'} - tgt_constituents: {'spa'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/isl-spa/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/isl-spa/opus-2020-06-17.test.txt - src_alpha3: isl - tgt_alpha3: spa - short_pair: is-es - chrF2_score: 0.665 - bleu: 51.2 - brevity_penalty: 0.985 - ref_len: 1229.0 - src_name: Icelandic - tgt_name: Spanish - train_date: 2020-06-17 - src_alpha2: is - tgt_alpha2: es - prefer_old: False - long_pair: isl-spa - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["is", "es"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-is-es	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "is", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "is", "es" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #is #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### isl-spa * source group: Icelandic * target group: Spanish * OPUS readme: isl-spa * model: transformer-align * source language(s): isl * target language(s): spa * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 51.2, chr-F: 0.665 ### System Info: * hf\_name: isl-spa * source\_languages: isl * target\_languages: spa * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['is', 'es'] * src\_constituents: {'isl'} * tgt\_constituents: {'spa'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: isl * tgt\_alpha3: spa * short\_pair: is-es * chrF2\_score: 0.665 * bleu: 51.2 * brevity\_penalty: 0.985 * ref\_len: 1229.0 * src\_name: Icelandic * tgt\_name: Spanish * train\_date: 2020-06-17 * src\_alpha2: is * tgt\_alpha2: es * prefer\_old: False * long\_pair: isl-spa * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### isl-spa\n\n\n* source group: Icelandic\n* target group: Spanish\n* OPUS readme: isl-spa\n* model: transformer-align\n* source language(s): isl\n* target language(s): spa\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 51.2, chr-F: 0.665", "### System Info:\n\n\n* hf\\_name: isl-spa\n* source\\_languages: isl\n* target\\_languages: spa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['is', 'es']\n* src\\_constituents: {'isl'}\n* tgt\\_constituents: {'spa'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: isl\n* tgt\\_alpha3: spa\n* short\\_pair: is-es\n* chrF2\\_score: 0.665\n* bleu: 51.2\n* brevity\\_penalty: 0.985\n* ref\\_len: 1229.0\n* src\\_name: Icelandic\n* tgt\\_name: Spanish\n* train\\_date: 2020-06-17\n* src\\_alpha2: is\n* tgt\\_alpha2: es\n* prefer\\_old: False\n* long\\_pair: isl-spa\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #is #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### isl-spa\n\n\n* source group: Icelandic\n* target group: Spanish\n* OPUS readme: isl-spa\n* model: transformer-align\n* source language(s): isl\n* target language(s): spa\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 51.2, chr-F: 0.665", "### System Info:\n\n\n* hf\\_name: isl-spa\n* source\\_languages: isl\n* target\\_languages: spa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['is', 'es']\n* src\\_constituents: {'isl'}\n* tgt\\_constituents: {'spa'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: isl\n* tgt\\_alpha3: spa\n* short\\_pair: is-es\n* chrF2\\_score: 0.665\n* bleu: 51.2\n* brevity\\_penalty: 0.985\n* ref\\_len: 1229.0\n* src\\_name: Icelandic\n* tgt\\_name: Spanish\n* train\\_date: 2020-06-17\n* src\\_alpha2: is\n* tgt\\_alpha2: es\n* prefer\\_old: False\n* long\\_pair: isl-spa\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 134, 396 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #is #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### isl-spa\n\n\n* source group: Icelandic\n* target group: Spanish\n* OPUS readme: isl-spa\n* model: transformer-align\n* source language(s): isl\n* target language(s): spa\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 51.2, chr-F: 0.665### System Info:\n\n\n* hf\\_name: isl-spa\n* source\\_languages: isl\n* target\\_languages: spa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['is', 'es']\n* src\\_constituents: {'isl'}\n* tgt\\_constituents: {'spa'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: isl\n* tgt\\_alpha3: spa\n* short\\_pair: is-es\n* chrF2\\_score: 0.665\n* bleu: 51.2\n* brevity\\_penalty: 0.985\n* ref\\_len: 1229.0\n* src\\_name: Icelandic\n* tgt\\_name: Spanish\n* train\\_date: 2020-06-17\n* src\\_alpha2: is\n* tgt\\_alpha2: es\n* prefer\\_old: False\n* long\\_pair: isl-spa\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### opus-mt-is-fi * source languages: is * target languages: fi * OPUS readme: [is-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/is-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/is-fi/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/is-fi/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/is-fi/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.is.fi \| 25.0 \| 0.489 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-is-fi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "is", "fi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #is #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-is-fi * source languages: is * target languages: fi * OPUS readme: is-fi * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 25.0, chr-F: 0.489	[ "### opus-mt-is-fi\n\n\n* source languages: is\n* target languages: fi\n* OPUS readme: is-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.0, chr-F: 0.489" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #is #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-is-fi\n\n\n* source languages: is\n* target languages: fi\n* OPUS readme: is-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.0, chr-F: 0.489" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #is #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-is-fi\n\n\n* source languages: is\n* target languages: fi\n* OPUS readme: is-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.0, chr-F: 0.489" ]
translation	transformers	### opus-mt-is-fr * source languages: is * target languages: fr * OPUS readme: [is-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/is-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/is-fr/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/is-fr/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/is-fr/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.is.fr \| 25.0 \| 0.437 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-is-fr	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "is", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #is #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-is-fr * source languages: is * target languages: fr * OPUS readme: is-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 25.0, chr-F: 0.437	[ "### opus-mt-is-fr\n\n\n* source languages: is\n* target languages: fr\n* OPUS readme: is-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.0, chr-F: 0.437" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #is #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-is-fr\n\n\n* source languages: is\n* target languages: fr\n* OPUS readme: is-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.0, chr-F: 0.437" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #is #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-is-fr\n\n\n* source languages: is\n* target languages: fr\n* OPUS readme: is-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.0, chr-F: 0.437" ]
translation	transformers	### isl-ita * source group: Icelandic * target group: Italian * OPUS readme: [isl-ita](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/isl-ita/README.md) * model: transformer-align * source language(s): isl * target language(s): ita * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/isl-ita/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/isl-ita/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/isl-ita/opus-2020-06-17.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.isl.ita \| 46.7 \| 0.662 \| ### System Info: - hf_name: isl-ita - source_languages: isl - target_languages: ita - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/isl-ita/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['is', 'it'] - src_constituents: {'isl'} - tgt_constituents: {'ita'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/isl-ita/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/isl-ita/opus-2020-06-17.test.txt - src_alpha3: isl - tgt_alpha3: ita - short_pair: is-it - chrF2_score: 0.662 - bleu: 46.7 - brevity_penalty: 0.977 - ref_len: 1450.0 - src_name: Icelandic - tgt_name: Italian - train_date: 2020-06-17 - src_alpha2: is - tgt_alpha2: it - prefer_old: False - long_pair: isl-ita - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["is", "it"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-is-it	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "is", "it", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "is", "it" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #is #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### isl-ita * source group: Icelandic * target group: Italian * OPUS readme: isl-ita * model: transformer-align * source language(s): isl * target language(s): ita * model: transformer-align * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 46.7, chr-F: 0.662 ### System Info: * hf\_name: isl-ita * source\_languages: isl * target\_languages: ita * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['is', 'it'] * src\_constituents: {'isl'} * tgt\_constituents: {'ita'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: isl * tgt\_alpha3: ita * short\_pair: is-it * chrF2\_score: 0.662 * bleu: 46.7 * brevity\_penalty: 0.977 * ref\_len: 1450.0 * src\_name: Icelandic * tgt\_name: Italian * train\_date: 2020-06-17 * src\_alpha2: is * tgt\_alpha2: it * prefer\_old: False * long\_pair: isl-ita * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### isl-ita\n\n\n* source group: Icelandic\n* target group: Italian\n* OPUS readme: isl-ita\n* model: transformer-align\n* source language(s): isl\n* target language(s): ita\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 46.7, chr-F: 0.662", "### System Info:\n\n\n* hf\\_name: isl-ita\n* source\\_languages: isl\n* target\\_languages: ita\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['is', 'it']\n* src\\_constituents: {'isl'}\n* tgt\\_constituents: {'ita'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: isl\n* tgt\\_alpha3: ita\n* short\\_pair: is-it\n* chrF2\\_score: 0.662\n* bleu: 46.7\n* brevity\\_penalty: 0.977\n* ref\\_len: 1450.0\n* src\\_name: Icelandic\n* tgt\\_name: Italian\n* train\\_date: 2020-06-17\n* src\\_alpha2: is\n* tgt\\_alpha2: it\n* prefer\\_old: False\n* long\\_pair: isl-ita\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #is #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### isl-ita\n\n\n* source group: Icelandic\n* target group: Italian\n* OPUS readme: isl-ita\n* model: transformer-align\n* source language(s): isl\n* target language(s): ita\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 46.7, chr-F: 0.662", "### System Info:\n\n\n* hf\\_name: isl-ita\n* source\\_languages: isl\n* target\\_languages: ita\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['is', 'it']\n* src\\_constituents: {'isl'}\n* tgt\\_constituents: {'ita'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: isl\n* tgt\\_alpha3: ita\n* short\\_pair: is-it\n* chrF2\\_score: 0.662\n* bleu: 46.7\n* brevity\\_penalty: 0.977\n* ref\\_len: 1450.0\n* src\\_name: Icelandic\n* tgt\\_name: Italian\n* train\\_date: 2020-06-17\n* src\\_alpha2: is\n* tgt\\_alpha2: it\n* prefer\\_old: False\n* long\\_pair: isl-ita\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 137, 401 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #is #it #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### isl-ita\n\n\n* source group: Icelandic\n* target group: Italian\n* OPUS readme: isl-ita\n* model: transformer-align\n* source language(s): isl\n* target language(s): ita\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 46.7, chr-F: 0.662### System Info:\n\n\n* hf\\_name: isl-ita\n* source\\_languages: isl\n* target\\_languages: ita\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['is', 'it']\n* src\\_constituents: {'isl'}\n* tgt\\_constituents: {'ita'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: isl\n* tgt\\_alpha3: ita\n* short\\_pair: is-it\n* chrF2\\_score: 0.662\n* bleu: 46.7\n* brevity\\_penalty: 0.977\n* ref\\_len: 1450.0\n* src\\_name: Icelandic\n* tgt\\_name: Italian\n* train\\_date: 2020-06-17\n* src\\_alpha2: is\n* tgt\\_alpha2: it\n* prefer\\_old: False\n* long\\_pair: isl-ita\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### opus-mt-is-sv * source languages: is * target languages: sv * OPUS readme: [is-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/is-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/is-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/is-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/is-sv/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.is.sv \| 30.4 \| 0.495 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-is-sv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "is", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #is #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-is-sv * source languages: is * target languages: sv * OPUS readme: is-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 30.4, chr-F: 0.495	[ "### opus-mt-is-sv\n\n\n* source languages: is\n* target languages: sv\n* OPUS readme: is-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.4, chr-F: 0.495" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #is #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-is-sv\n\n\n* source languages: is\n* target languages: sv\n* OPUS readme: is-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.4, chr-F: 0.495" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #is #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-is-sv\n\n\n* source languages: is\n* target languages: sv\n* OPUS readme: is-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.4, chr-F: 0.495" ]
translation	transformers	### opus-mt-iso-en * source languages: iso * target languages: en * OPUS readme: [iso-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/iso-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/iso-en/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/iso-en/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/iso-en/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.iso.en \| 35.5 \| 0.506 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-iso-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "iso", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #iso #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-iso-en * source languages: iso * target languages: en * OPUS readme: iso-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 35.5, chr-F: 0.506	[ "### opus-mt-iso-en\n\n\n* source languages: iso\n* target languages: en\n* OPUS readme: iso-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.5, chr-F: 0.506" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #iso #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-iso-en\n\n\n* source languages: iso\n* target languages: en\n* OPUS readme: iso-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.5, chr-F: 0.506" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #iso #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-iso-en\n\n\n* source languages: iso\n* target languages: en\n* OPUS readme: iso-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.5, chr-F: 0.506" ]
translation	transformers	### opus-mt-iso-es * source languages: iso * target languages: es * OPUS readme: [iso-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/iso-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/iso-es/opus-2020-01-16.zip) * test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/iso-es/opus-2020-01-16.test.txt) * test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/iso-es/opus-2020-01-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.iso.es \| 22.4 \| 0.394 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-iso-es	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "iso", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #iso #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-iso-es * source languages: iso * target languages: es * OPUS readme: iso-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 22.4, chr-F: 0.394	[ "### opus-mt-iso-es\n\n\n* source languages: iso\n* target languages: es\n* OPUS readme: iso-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.4, chr-F: 0.394" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #iso #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-iso-es\n\n\n* source languages: iso\n* target languages: es\n* OPUS readme: iso-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.4, chr-F: 0.394" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #iso #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-iso-es\n\n\n* source languages: iso\n* target languages: es\n* OPUS readme: iso-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.4, chr-F: 0.394" ]
translation	transformers	### opus-mt-iso-fi * source languages: iso * target languages: fi * OPUS readme: [iso-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/iso-fi/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/iso-fi/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/iso-fi/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/iso-fi/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.iso.fi \| 23.0 \| 0.443 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-iso-fi	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "iso", "fi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #iso #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-iso-fi * source languages: iso * target languages: fi * OPUS readme: iso-fi * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 23.0, chr-F: 0.443	[ "### opus-mt-iso-fi\n\n\n* source languages: iso\n* target languages: fi\n* OPUS readme: iso-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.0, chr-F: 0.443" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #iso #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-iso-fi\n\n\n* source languages: iso\n* target languages: fi\n* OPUS readme: iso-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.0, chr-F: 0.443" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #iso #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-iso-fi\n\n\n* source languages: iso\n* target languages: fi\n* OPUS readme: iso-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.0, chr-F: 0.443" ]
translation	transformers	### opus-mt-iso-fr * source languages: iso * target languages: fr * OPUS readme: [iso-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/iso-fr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/iso-fr/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/iso-fr/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/iso-fr/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.iso.fr \| 25.6 \| 0.422 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-iso-fr	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "iso", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #iso #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-iso-fr * source languages: iso * target languages: fr * OPUS readme: iso-fr * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 25.6, chr-F: 0.422	[ "### opus-mt-iso-fr\n\n\n* source languages: iso\n* target languages: fr\n* OPUS readme: iso-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.6, chr-F: 0.422" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #iso #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-iso-fr\n\n\n* source languages: iso\n* target languages: fr\n* OPUS readme: iso-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.6, chr-F: 0.422" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #iso #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-iso-fr\n\n\n* source languages: iso\n* target languages: fr\n* OPUS readme: iso-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.6, chr-F: 0.422" ]
translation	transformers	### opus-mt-iso-sv * source languages: iso * target languages: sv * OPUS readme: [iso-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/iso-sv/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/iso-sv/opus-2020-01-09.zip) * test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/iso-sv/opus-2020-01-09.test.txt) * test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/iso-sv/opus-2020-01-09.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| JW300.iso.sv \| 25.0 \| 0.430 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-iso-sv	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "iso", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #iso #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-iso-sv * source languages: iso * target languages: sv * OPUS readme: iso-sv * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 25.0, chr-F: 0.430	[ "### opus-mt-iso-sv\n\n\n* source languages: iso\n* target languages: sv\n* OPUS readme: iso-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.0, chr-F: 0.430" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #iso #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-iso-sv\n\n\n* source languages: iso\n* target languages: sv\n* OPUS readme: iso-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.0, chr-F: 0.430" ]	[ 51, 105 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #iso #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-iso-sv\n\n\n* source languages: iso\n* target languages: sv\n* OPUS readme: iso-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.0, chr-F: 0.430" ]
translation	transformers	### ita-ara * source group: Italian * target group: Arabic * OPUS readme: [ita-ara](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-ara/README.md) * model: transformer * source language(s): ita * target language(s): ara * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-ara/opus-2020-07-03.zip) * test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-ara/opus-2020-07-03.test.txt) * test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-ara/opus-2020-07-03.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.ita.ara \| 21.9 \| 0.517 \| ### System Info: - hf_name: ita-ara - source_languages: ita - target_languages: ara - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-ara/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['it', 'ar'] - src_constituents: {'ita'} - tgt_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-ara/opus-2020-07-03.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-ara/opus-2020-07-03.test.txt - src_alpha3: ita - tgt_alpha3: ara - short_pair: it-ar - chrF2_score: 0.517 - bleu: 21.9 - brevity_penalty: 0.95 - ref_len: 1161.0 - src_name: Italian - tgt_name: Arabic - train_date: 2020-07-03 - src_alpha2: it - tgt_alpha2: ar - prefer_old: False - long_pair: ita-ara - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["it", "ar"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-it-ar	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "it", "ar", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "it", "ar" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #it #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### ita-ara * source group: Italian * target group: Arabic * OPUS readme: ita-ara * model: transformer * source language(s): ita * target language(s): ara * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 21.9, chr-F: 0.517 ### System Info: * hf\_name: ita-ara * source\_languages: ita * target\_languages: ara * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['it', 'ar'] * src\_constituents: {'ita'} * tgt\_constituents: {'apc', 'ara', 'arq\_Latn', 'arq', 'afb', 'ara\_Latn', 'apc\_Latn', 'arz'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: ita * tgt\_alpha3: ara * short\_pair: it-ar * chrF2\_score: 0.517 * bleu: 21.9 * brevity\_penalty: 0.95 * ref\_len: 1161.0 * src\_name: Italian * tgt\_name: Arabic * train\_date: 2020-07-03 * src\_alpha2: it * tgt\_alpha2: ar * prefer\_old: False * long\_pair: ita-ara * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### ita-ara\n\n\n* source group: Italian\n* target group: Arabic\n* OPUS readme: ita-ara\n* model: transformer\n* source language(s): ita\n* target language(s): ara\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.9, chr-F: 0.517", "### System Info:\n\n\n* hf\\_name: ita-ara\n* source\\_languages: ita\n* target\\_languages: ara\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['it', 'ar']\n* src\\_constituents: {'ita'}\n* tgt\\_constituents: {'apc', 'ara', 'arq\\_Latn', 'arq', 'afb', 'ara\\_Latn', 'apc\\_Latn', 'arz'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ita\n* tgt\\_alpha3: ara\n* short\\_pair: it-ar\n* chrF2\\_score: 0.517\n* bleu: 21.9\n* brevity\\_penalty: 0.95\n* ref\\_len: 1161.0\n* src\\_name: Italian\n* tgt\\_name: Arabic\n* train\\_date: 2020-07-03\n* src\\_alpha2: it\n* tgt\\_alpha2: ar\n* prefer\\_old: False\n* long\\_pair: ita-ara\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### ita-ara\n\n\n* source group: Italian\n* target group: Arabic\n* OPUS readme: ita-ara\n* model: transformer\n* source language(s): ita\n* target language(s): ara\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.9, chr-F: 0.517", "### System Info:\n\n\n* hf\\_name: ita-ara\n* source\\_languages: ita\n* target\\_languages: ara\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['it', 'ar']\n* src\\_constituents: {'ita'}\n* tgt\\_constituents: {'apc', 'ara', 'arq\\_Latn', 'arq', 'afb', 'ara\\_Latn', 'apc\\_Latn', 'arz'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ita\n* tgt\\_alpha3: ara\n* short\\_pair: it-ar\n* chrF2\\_score: 0.517\n* bleu: 21.9\n* brevity\\_penalty: 0.95\n* ref\\_len: 1161.0\n* src\\_name: Italian\n* tgt\\_name: Arabic\n* train\\_date: 2020-07-03\n* src\\_alpha2: it\n* tgt\\_alpha2: ar\n* prefer\\_old: False\n* long\\_pair: ita-ara\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 130, 443 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### ita-ara\n\n\n* source group: Italian\n* target group: Arabic\n* OPUS readme: ita-ara\n* model: transformer\n* source language(s): ita\n* target language(s): ara\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.9, chr-F: 0.517### System Info:\n\n\n* hf\\_name: ita-ara\n* source\\_languages: ita\n* target\\_languages: ara\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['it', 'ar']\n* src\\_constituents: {'ita'}\n* tgt\\_constituents: {'apc', 'ara', 'arq\\_Latn', 'arq', 'afb', 'ara\\_Latn', 'apc\\_Latn', 'arz'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ita\n* tgt\\_alpha3: ara\n* short\\_pair: it-ar\n* chrF2\\_score: 0.517\n* bleu: 21.9\n* brevity\\_penalty: 0.95\n* ref\\_len: 1161.0\n* src\\_name: Italian\n* tgt\\_name: Arabic\n* train\\_date: 2020-07-03\n* src\\_alpha2: it\n* tgt\\_alpha2: ar\n* prefer\\_old: False\n* long\\_pair: ita-ara\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### ita-bul * source group: Italian * target group: Bulgarian * OPUS readme: [ita-bul](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-bul/README.md) * model: transformer * source language(s): ita * target language(s): bul * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-bul/opus-2020-07-03.zip) * test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-bul/opus-2020-07-03.test.txt) * test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-bul/opus-2020-07-03.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.ita.bul \| 47.9 \| 0.664 \| ### System Info: - hf_name: ita-bul - source_languages: ita - target_languages: bul - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-bul/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['it', 'bg'] - src_constituents: {'ita'} - tgt_constituents: {'bul', 'bul_Latn'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-bul/opus-2020-07-03.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-bul/opus-2020-07-03.test.txt - src_alpha3: ita - tgt_alpha3: bul - short_pair: it-bg - chrF2_score: 0.664 - bleu: 47.9 - brevity_penalty: 0.961 - ref_len: 16512.0 - src_name: Italian - tgt_name: Bulgarian - train_date: 2020-07-03 - src_alpha2: it - tgt_alpha2: bg - prefer_old: False - long_pair: ita-bul - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["it", "bg"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-it-bg	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "it", "bg", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "it", "bg" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #it #bg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### ita-bul * source group: Italian * target group: Bulgarian * OPUS readme: ita-bul * model: transformer * source language(s): ita * target language(s): bul * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 47.9, chr-F: 0.664 ### System Info: * hf\_name: ita-bul * source\_languages: ita * target\_languages: bul * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['it', 'bg'] * src\_constituents: {'ita'} * tgt\_constituents: {'bul', 'bul\_Latn'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm32k,spm32k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: ita * tgt\_alpha3: bul * short\_pair: it-bg * chrF2\_score: 0.664 * bleu: 47.9 * brevity\_penalty: 0.961 * ref\_len: 16512.0 * src\_name: Italian * tgt\_name: Bulgarian * train\_date: 2020-07-03 * src\_alpha2: it * tgt\_alpha2: bg * prefer\_old: False * long\_pair: ita-bul * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### ita-bul\n\n\n* source group: Italian\n* target group: Bulgarian\n* OPUS readme: ita-bul\n* model: transformer\n* source language(s): ita\n* target language(s): bul\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 47.9, chr-F: 0.664", "### System Info:\n\n\n* hf\\_name: ita-bul\n* source\\_languages: ita\n* target\\_languages: bul\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['it', 'bg']\n* src\\_constituents: {'ita'}\n* tgt\\_constituents: {'bul', 'bul\\_Latn'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ita\n* tgt\\_alpha3: bul\n* short\\_pair: it-bg\n* chrF2\\_score: 0.664\n* bleu: 47.9\n* brevity\\_penalty: 0.961\n* ref\\_len: 16512.0\n* src\\_name: Italian\n* tgt\\_name: Bulgarian\n* train\\_date: 2020-07-03\n* src\\_alpha2: it\n* tgt\\_alpha2: bg\n* prefer\\_old: False\n* long\\_pair: ita-bul\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #bg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### ita-bul\n\n\n* source group: Italian\n* target group: Bulgarian\n* OPUS readme: ita-bul\n* model: transformer\n* source language(s): ita\n* target language(s): bul\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 47.9, chr-F: 0.664", "### System Info:\n\n\n* hf\\_name: ita-bul\n* source\\_languages: ita\n* target\\_languages: bul\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['it', 'bg']\n* src\\_constituents: {'ita'}\n* tgt\\_constituents: {'bul', 'bul\\_Latn'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ita\n* tgt\\_alpha3: bul\n* short\\_pair: it-bg\n* chrF2\\_score: 0.664\n* bleu: 47.9\n* brevity\\_penalty: 0.961\n* ref\\_len: 16512.0\n* src\\_name: Italian\n* tgt\\_name: Bulgarian\n* train\\_date: 2020-07-03\n* src\\_alpha2: it\n* tgt\\_alpha2: bg\n* prefer\\_old: False\n* long\\_pair: ita-bul\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 52, 133, 414 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #bg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### ita-bul\n\n\n* source group: Italian\n* target group: Bulgarian\n* OPUS readme: ita-bul\n* model: transformer\n* source language(s): ita\n* target language(s): bul\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 47.9, chr-F: 0.664### System Info:\n\n\n* hf\\_name: ita-bul\n* source\\_languages: ita\n* target\\_languages: bul\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['it', 'bg']\n* src\\_constituents: {'ita'}\n* tgt\\_constituents: {'bul', 'bul\\_Latn'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ita\n* tgt\\_alpha3: bul\n* short\\_pair: it-bg\n* chrF2\\_score: 0.664\n* bleu: 47.9\n* brevity\\_penalty: 0.961\n* ref\\_len: 16512.0\n* src\\_name: Italian\n* tgt\\_name: Bulgarian\n* train\\_date: 2020-07-03\n* src\\_alpha2: it\n* tgt\\_alpha2: bg\n* prefer\\_old: False\n* long\\_pair: ita-bul\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### ita-cat * source group: Italian * target group: Catalan * OPUS readme: [ita-cat](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-cat/README.md) * model: transformer-align * source language(s): ita * target language(s): cat * model: transformer-align * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-cat/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-cat/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-cat/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.ita.cat \| 52.5 \| 0.706 \| ### System Info: - hf_name: ita-cat - source_languages: ita - target_languages: cat - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-cat/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['it', 'ca'] - src_constituents: {'ita'} - tgt_constituents: {'cat'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-cat/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-cat/opus-2020-06-16.test.txt - src_alpha3: ita - tgt_alpha3: cat - short_pair: it-ca - chrF2_score: 0.706 - bleu: 52.5 - brevity_penalty: 0.993 - ref_len: 2074.0 - src_name: Italian - tgt_name: Catalan - train_date: 2020-06-16 - src_alpha2: it - tgt_alpha2: ca - prefer_old: False - long_pair: ita-cat - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["it", "ca"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-it-ca	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "it", "ca", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "it", "ca" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #it #ca #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### ita-cat * source group: Italian * target group: Catalan * OPUS readme: ita-cat * model: transformer-align * source language(s): ita * target language(s): cat * model: transformer-align * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 52.5, chr-F: 0.706 ### System Info: * hf\_name: ita-cat * source\_languages: ita * target\_languages: cat * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['it', 'ca'] * src\_constituents: {'ita'} * tgt\_constituents: {'cat'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm12k,spm12k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: ita * tgt\_alpha3: cat * short\_pair: it-ca * chrF2\_score: 0.706 * bleu: 52.5 * brevity\_penalty: 0.993 * ref\_len: 2074.0 * src\_name: Italian * tgt\_name: Catalan * train\_date: 2020-06-16 * src\_alpha2: it * tgt\_alpha2: ca * prefer\_old: False * long\_pair: ita-cat * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### ita-cat\n\n\n* source group: Italian\n* target group: Catalan\n* OPUS readme: ita-cat\n* model: transformer-align\n* source language(s): ita\n* target language(s): cat\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 52.5, chr-F: 0.706", "### System Info:\n\n\n* hf\\_name: ita-cat\n* source\\_languages: ita\n* target\\_languages: cat\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['it', 'ca']\n* src\\_constituents: {'ita'}\n* tgt\\_constituents: {'cat'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ita\n* tgt\\_alpha3: cat\n* short\\_pair: it-ca\n* chrF2\\_score: 0.706\n* bleu: 52.5\n* brevity\\_penalty: 0.993\n* ref\\_len: 2074.0\n* src\\_name: Italian\n* tgt\\_name: Catalan\n* train\\_date: 2020-06-16\n* src\\_alpha2: it\n* tgt\\_alpha2: ca\n* prefer\\_old: False\n* long\\_pair: ita-cat\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #ca #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### ita-cat\n\n\n* source group: Italian\n* target group: Catalan\n* OPUS readme: ita-cat\n* model: transformer-align\n* source language(s): ita\n* target language(s): cat\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 52.5, chr-F: 0.706", "### System Info:\n\n\n* hf\\_name: ita-cat\n* source\\_languages: ita\n* target\\_languages: cat\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['it', 'ca']\n* src\\_constituents: {'ita'}\n* tgt\\_constituents: {'cat'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ita\n* tgt\\_alpha3: cat\n* short\\_pair: it-ca\n* chrF2\\_score: 0.706\n* bleu: 52.5\n* brevity\\_penalty: 0.993\n* ref\\_len: 2074.0\n* src\\_name: Italian\n* tgt\\_name: Catalan\n* train\\_date: 2020-06-16\n* src\\_alpha2: it\n* tgt\\_alpha2: ca\n* prefer\\_old: False\n* long\\_pair: ita-cat\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 51, 134, 396 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #ca #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### ita-cat\n\n\n* source group: Italian\n* target group: Catalan\n* OPUS readme: ita-cat\n* model: transformer-align\n* source language(s): ita\n* target language(s): cat\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 52.5, chr-F: 0.706### System Info:\n\n\n* hf\\_name: ita-cat\n* source\\_languages: ita\n* target\\_languages: cat\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['it', 'ca']\n* src\\_constituents: {'ita'}\n* tgt\\_constituents: {'cat'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ita\n* tgt\\_alpha3: cat\n* short\\_pair: it-ca\n* chrF2\\_score: 0.706\n* bleu: 52.5\n* brevity\\_penalty: 0.993\n* ref\\_len: 2074.0\n* src\\_name: Italian\n* tgt\\_name: Catalan\n* train\\_date: 2020-06-16\n* src\\_alpha2: it\n* tgt\\_alpha2: ca\n* prefer\\_old: False\n* long\\_pair: ita-cat\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### opus-mt-it-de * source languages: it * target languages: de * OPUS readme: [it-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/it-de/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/it-de/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/it-de/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/it-de/opus-2020-01-20.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.it.de \| 49.4 \| 0.678 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-it-de	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "it", "de", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #it #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-it-de * source languages: it * target languages: de * OPUS readme: it-de * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 49.4, chr-F: 0.678	[ "### opus-mt-it-de\n\n\n* source languages: it\n* target languages: de\n* OPUS readme: it-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 49.4, chr-F: 0.678" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-it-de\n\n\n* source languages: it\n* target languages: de\n* OPUS readme: it-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 49.4, chr-F: 0.678" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-it-de\n\n\n* source languages: it\n* target languages: de\n* OPUS readme: it-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 49.4, chr-F: 0.678" ]
translation	transformers	### opus-mt-it-en * source languages: it * target languages: en * OPUS readme: [it-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/it-en/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/it-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/it-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/it-en/opus-2019-12-18.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| newssyscomb2009.it.en \| 35.3 \| 0.600 \| \| newstest2009.it.en \| 34.0 \| 0.594 \| \| Tatoeba.it.en \| 70.9 \| 0.808 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-it-en	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "it", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #it #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-it-en * source languages: it * target languages: en * OPUS readme: it-en * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 35.3, chr-F: 0.600 testset: URL, BLEU: 34.0, chr-F: 0.594 testset: URL, BLEU: 70.9, chr-F: 0.808	[ "### opus-mt-it-en\n\n\n* source languages: it\n* target languages: en\n* OPUS readme: it-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.3, chr-F: 0.600\ntestset: URL, BLEU: 34.0, chr-F: 0.594\ntestset: URL, BLEU: 70.9, chr-F: 0.808" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-it-en\n\n\n* source languages: it\n* target languages: en\n* OPUS readme: it-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.3, chr-F: 0.600\ntestset: URL, BLEU: 34.0, chr-F: 0.594\ntestset: URL, BLEU: 70.9, chr-F: 0.808" ]	[ 51, 151 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-it-en\n\n\n* source languages: it\n* target languages: en\n* OPUS readme: it-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.3, chr-F: 0.600\ntestset: URL, BLEU: 34.0, chr-F: 0.594\ntestset: URL, BLEU: 70.9, chr-F: 0.808" ]
translation	transformers	### ita-epo * source group: Italian * target group: Esperanto * OPUS readme: [ita-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-epo/README.md) * model: transformer-align * source language(s): ita * target language(s): epo * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-epo/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-epo/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-epo/opus-2020-06-16.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba-test.ita.epo \| 28.2 \| 0.500 \| ### System Info: - hf_name: ita-epo - source_languages: ita - target_languages: epo - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-epo/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['it', 'eo'] - src_constituents: {'ita'} - tgt_constituents: {'epo'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-epo/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-epo/opus-2020-06-16.test.txt - src_alpha3: ita - tgt_alpha3: epo - short_pair: it-eo - chrF2_score: 0.5 - bleu: 28.2 - brevity_penalty: 0.9570000000000001 - ref_len: 67846.0 - src_name: Italian - tgt_name: Esperanto - train_date: 2020-06-16 - src_alpha2: it - tgt_alpha2: eo - prefer_old: False - long_pair: ita-epo - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41	{"language": ["it", "eo"], "license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-it-eo	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "it", "eo", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[ "it", "eo" ]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #it #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### ita-epo * source group: Italian * target group: Esperanto * OPUS readme: ita-epo * model: transformer-align * source language(s): ita * target language(s): epo * model: transformer-align * pre-processing: normalization + SentencePiece (spm4k,spm4k) * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 28.2, chr-F: 0.500 ### System Info: * hf\_name: ita-epo * source\_languages: ita * target\_languages: epo * opus\_readme\_url: URL * original\_repo: Tatoeba-Challenge * tags: ['translation'] * languages: ['it', 'eo'] * src\_constituents: {'ita'} * tgt\_constituents: {'epo'} * src\_multilingual: False * tgt\_multilingual: False * prepro: normalization + SentencePiece (spm4k,spm4k) * url\_model: URL * url\_test\_set: URL * src\_alpha3: ita * tgt\_alpha3: epo * short\_pair: it-eo * chrF2\_score: 0.5 * bleu: 28.2 * brevity\_penalty: 0.9570000000000001 * ref\_len: 67846.0 * src\_name: Italian * tgt\_name: Esperanto * train\_date: 2020-06-16 * src\_alpha2: it * tgt\_alpha2: eo * prefer\_old: False * long\_pair: ita-epo * helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 * transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b * port\_machine: brutasse * port\_time: 2020-08-21-14:41	[ "### ita-epo\n\n\n* source group: Italian\n* target group: Esperanto\n* OPUS readme: ita-epo\n* model: transformer-align\n* source language(s): ita\n* target language(s): epo\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.2, chr-F: 0.500", "### System Info:\n\n\n* hf\\_name: ita-epo\n* source\\_languages: ita\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['it', 'eo']\n* src\\_constituents: {'ita'}\n* tgt\\_constituents: {'epo'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ita\n* tgt\\_alpha3: epo\n* short\\_pair: it-eo\n* chrF2\\_score: 0.5\n* bleu: 28.2\n* brevity\\_penalty: 0.9570000000000001\n* ref\\_len: 67846.0\n* src\\_name: Italian\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: it\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: ita-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### ita-epo\n\n\n* source group: Italian\n* target group: Esperanto\n* OPUS readme: ita-epo\n* model: transformer-align\n* source language(s): ita\n* target language(s): epo\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.2, chr-F: 0.500", "### System Info:\n\n\n* hf\\_name: ita-epo\n* source\\_languages: ita\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['it', 'eo']\n* src\\_constituents: {'ita'}\n* tgt\\_constituents: {'epo'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ita\n* tgt\\_alpha3: epo\n* short\\_pair: it-eo\n* chrF2\\_score: 0.5\n* bleu: 28.2\n* brevity\\_penalty: 0.9570000000000001\n* ref\\_len: 67846.0\n* src\\_name: Italian\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: it\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: ita-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]	[ 52, 138, 412 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### ita-epo\n\n\n* source group: Italian\n* target group: Esperanto\n* OPUS readme: ita-epo\n* model: transformer-align\n* source language(s): ita\n* target language(s): epo\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.2, chr-F: 0.500### System Info:\n\n\n* hf\\_name: ita-epo\n* source\\_languages: ita\n* target\\_languages: epo\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['it', 'eo']\n* src\\_constituents: {'ita'}\n* tgt\\_constituents: {'epo'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: ita\n* tgt\\_alpha3: epo\n* short\\_pair: it-eo\n* chrF2\\_score: 0.5\n* bleu: 28.2\n* brevity\\_penalty: 0.9570000000000001\n* ref\\_len: 67846.0\n* src\\_name: Italian\n* tgt\\_name: Esperanto\n* train\\_date: 2020-06-16\n* src\\_alpha2: it\n* tgt\\_alpha2: eo\n* prefer\\_old: False\n* long\\_pair: ita-epo\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41" ]
translation	transformers	### opus-mt-it-es * source languages: it * target languages: es * OPUS readme: [it-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/it-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/it-es/opus-2020-01-26.zip) * test set translations: [opus-2020-01-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/it-es/opus-2020-01-26.test.txt) * test set scores: [opus-2020-01-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/it-es/opus-2020-01-26.eval.txt) ## Benchmarks \| testset \| BLEU \| chr-F \| \|-----------------------\|-------\|-------\| \| Tatoeba.it.es \| 61.2 \| 0.761 \|	{"license": "apache-2.0", "tags": ["translation"]}	Helsinki-NLP/opus-mt-it-es	null	[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "it", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]	null	2022-03-02T23:29:04+00:00	[]	[]	TAGS #transformers #pytorch #tf #marian #text2text-generation #translation #it #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us	### opus-mt-it-es * source languages: it * target languages: es * OPUS readme: it-es * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: URL * test set translations: URL * test set scores: URL Benchmarks ---------- testset: URL, BLEU: 61.2, chr-F: 0.761	[ "### opus-mt-it-es\n\n\n* source languages: it\n* target languages: es\n* OPUS readme: it-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 61.2, chr-F: 0.761" ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n", "### opus-mt-it-es\n\n\n* source languages: it\n* target languages: es\n* OPUS readme: it-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 61.2, chr-F: 0.761" ]	[ 51, 106 ]	[ "TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #it #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-it-es\n\n\n* source languages: it\n* target languages: es\n* OPUS readme: it-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 61.2, chr-F: 0.761" ]

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