Automatic Extraction of Verb Paradigms in Regional Languages: the case of the Linguistic Crescent varieties
Elena Knyazeva, Gilles Adda, Philippe Boula de Mareüil, Maximilien Guérin, Nicolas Quint
Abstract
Language documentation is crucial for endangered varieties all over the world. Verb conjugation is a key aspect of this documentation for Romance varieties such as those spoken in central France, in the area of the Linguistic Crescent, which extends overs significant portions of the old provinces of Marche and Bourbonnais. We present a first methodological experiment using automatic speech processing tools for the extraction of verbal paradigms collected and recorded during fieldworks sessions made in situ. In order to prove the feasibility of the approach, we test it with different protocols, on good quality data, and we offer possible ways of extension for this research.- Anthology ID:
- 2020.sltu-1.34
- Volume:
- Proceedings of the 1st Joint Workshop on Spoken Language Technologies for Under-resourced languages (SLTU) and Collaboration and Computing for Under-Resourced Languages (CCURL)
- Month:
- May
- Year:
- 2020
- Address:
- Marseille, France
- Editors:
- Dorothee Beermann, Laurent Besacier, Sakriani Sakti, Claudia Soria
- Venue:
- SLTU
- SIG:
- Publisher:
- European Language Resources association
- Note:
- Pages:
- 245–249
- Language:
- English
- URL:
- https://aclanthology.org/2020.sltu-1.34
- DOI:
- Cite (ACL):
- Elena Knyazeva, Gilles Adda, Philippe Boula de Mareüil, Maximilien Guérin, and Nicolas Quint. 2020. Automatic Extraction of Verb Paradigms in Regional Languages: the case of the Linguistic Crescent varieties. In Proceedings of the 1st Joint Workshop on Spoken Language Technologies for Under-resourced languages (SLTU) and Collaboration and Computing for Under-Resourced Languages (CCURL), pages 245–249, Marseille, France. European Language Resources association.
- Cite (Informal):
- Automatic Extraction of Verb Paradigms in Regional Languages: the case of the Linguistic Crescent varieties (Knyazeva et al., SLTU 2020)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2020.sltu-1.34.pdf