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title: README
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---
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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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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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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 ❤️
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