software . 2022

Bertrade Contexual Embeddings Models for Old French

Loïc Grobol; Mathilde Regnault; Pedro Ortiz Suárez; Benoît Sagot; Laurent Romary; Benoît Crabbé;
Open Access English
  • Published: 14 Apr 2022
  • Publisher: Zenodo
Abstract
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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Subjects
free text keywords: Contextual embeddings, Old French, Natural Language Processing, Neural Network, Transfer Learning
Communities
  • Digital Humanities and Cultural Heritage
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Open Access
ZENODO
Software . 2022
Providers: ZENODO
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