Published April 14, 2022 | Version v1

Bertrade Contexual Embeddings Models for Old French

  • 1. Modyco, Université Paris Nanterre and CNRS, Nanterre France
  • 2. Institut für Linguistik/Romanistik (ILR), Universität Stuttgart, Deutschland
  • 3. Inria, Paris, France
  • 4. LLF, CNRS and Université Paris Cité, Paris, France

Description

These are the contextual embeddings models for Old French developed for the article “BERTrade: Using Contextual Embeddings to Parse Old French” (Grobol et al., 2022). They are meant to be used with the 🤗 Transformers library and are known to work with versions from 4.12.0 to 4.18.0 of this library (other versions might be compatible, but we offer no guarantee).

See the article for a list of the resources and the settings used to develop these models as well as assessment of their suitability for syntactic dependency parsing of Old French.

References:

Grobol, Loïc, Mathilde Regnault, Pedro Javier Ortiz Suárez, Benoît Sagot, Laurent Romary, and Benoit Crabbé. 2022. “BERTrade: Using Contextual Embeddings to Parse Old French.” In Proceedings of the 13th International Conference on Language Resources and Evaluation. European Language Resource Association.

 

Files

Files (3.1 GB)

Name Size
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451.8 MB Download
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644.3 MB Download
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334.5 MB Download
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334.1 MB Download
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154.2 MB Download
md5:d30be53a1d600a9fcba21d49c07fc64a
43.2 MB Download
md5:cf47f3b3f76cf267ce6d6312b5a4bd50
43.2 MB Download
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154.2 MB Download
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5.7 MB Download
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402.6 MB Download
md5:49d238e0ad8eeb5cd370cfc60cab416a
502.7 MB Download

Additional details

Funding

Agence Nationale de la Recherche
PROFITEROLE - PRocessing Old French Instrumented TExts for the Representation Of Language Evolution ANR-16-CE38-0010