Software Open Access
Bertrade Contexual Embeddings Models for Old French
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.
| All versions | This version | |
|---|---|---|
| Views | 114 | 114 |
| Downloads | 33 | 33 |
| Data volume | 9.9 GB | 9.9 GB |
| Unique views | 107 | 107 |
| Unique downloads | 20 | 20 |
- Publication date:
- April 14, 2022
- DOI:
-
- Keyword(s):
- Contextual embeddings Old French Natural Language Processing Neural Network Transfer Learning
- Grants:
-
Agence Nationale de la Recherche:
- PROFITEROLE - PRocessing Old French Instrumented TExts for the Representation Of Language Evolution (ANR-16-CE38-0010)
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International