From FreEM to D’AlemBERT: a Large Corpus and a Language Model for Early Modern French

Simon Gabay, Pedro Ortiz Suarez, Alexandre Bartz, Alix Chagué, Rachel Bawden, Philippe Gambette, Benoît Sagot


Abstract
anguage models for historical states of language are becoming increasingly important to allow the optimal digitisation and analysis of old textual sources. Because these historical states are at the same time more complex to process and more scarce in the corpora available, this paper presents recent efforts to overcome this difficult situation. These efforts include producing a corpus, creating the model, and evaluating it with an NLP task currently used by scholars in other ongoing projects.
Anthology ID:
2022.lrec-1.359
Volume:
Proceedings of the Thirteenth Language Resources and Evaluation Conference
Month:
June
Year:
2022
Address:
Marseille, France
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
3367–3374
Language:
URL:
https://aclanthology.org/2022.lrec-1.359
DOI:
Bibkey:
Cite (ACL):
Simon Gabay, Pedro Ortiz Suarez, Alexandre Bartz, Alix Chagué, Rachel Bawden, Philippe Gambette, and Benoît Sagot. 2022. From FreEM to D’AlemBERT: a Large Corpus and a Language Model for Early Modern French. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 3367–3374, Marseille, France. European Language Resources Association.
Cite (Informal):
From FreEM to D’AlemBERT: a Large Corpus and a Language Model for Early Modern French (Gabay et al., LREC 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.lrec-1.359.pdf