Software Open Access
Loïc Grobol;
Mathilde Regnault;
Pedro Ortiz Suárez;
Benoît Sagot;
Laurent Romary;
Benoît Crabbé
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.
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