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- Edit this `README.md` markdown file to author your organization card.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  title: README
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+ # hmTEAMS - Language Models
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+ Historic Multilingual and Monolingual TEAMS Models. Following languages are currently covered:
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+ * English (British Library Corpus - Books)
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+ * German (Europeana Newspaper)
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+ * French (Europeana Newspaper)
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+ * Finnish (Europeana Newspaper)
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+ * Swedish (Europeana Newspaper)
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+ * Dutch (Delpher Corpus)
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+
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+ More details can be found in [our GitHub repository](https://github.com/stefan-it/hmTEAMS).
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+ # Leaderboard
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+ We test our pretrained language models on various datasets from HIPE-2020, HIPE-2022 and Europeana. The following table
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+ shows an overview of used datasets.
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+ | Language | Dataset | Additional Dataset |
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+ |----------|--------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------|
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+ | English | [AjMC](https://github.com/hipe-eval/HIPE-2022-data/blob/main/documentation/README-ajmc.md) | - |
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+ | German | [AjMC](https://github.com/hipe-eval/HIPE-2022-data/blob/main/documentation/README-ajmc.md) | - |
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+ | French | [AjMC](https://github.com/hipe-eval/HIPE-2022-data/blob/main/documentation/README-ajmc.md) | [ICDAR-Europeana](https://github.com/stefan-it/historic-domain-adaptation-icdar) |
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+ | Finnish | [NewsEye](https://github.com/hipe-eval/HIPE-2022-data/blob/main/documentation/README-newseye.md) | - |
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+ | Swedish | [NewsEye](https://github.com/hipe-eval/HIPE-2022-data/blob/main/documentation/README-newseye.md) | - |
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+ | Dutch | [ICDAR-Europeana](https://github.com/stefan-it/historic-domain-adaptation-icdar) | - |
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+ Results are coming soon!
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+ # Acknowledgements
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+
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+ We thank [Luisa März](https://github.com/LuisaMaerz), [Katharina Schmid](https://github.com/schmika) and
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+ [Erion Çano](https://github.com/erionc) for their fruitful discussions about Historic Language Models.
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+ Research supported with Cloud TPUs from Google's [TPU Research Cloud](https://sites.research.google/trc/about/) (TRC).
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+ Many Thanks for providing access to the TPUs ❤️