Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan

Jordi Armengol-Estapé, Casimiro Pio Carrino, Carlos Rodriguez-Penagos, Ona de Gibert Bonet, Carme Armentano-Oller, Aitor Gonzalez-Agirre, Maite Melero, Marta Villegas


Anthology ID:
2021.findings-acl.437
Volume:
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Month:
August
Year:
2021
Address:
Online
Venue:
Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
4933–4946
Language:
URL:
https://aclanthology.org/2021.findings-acl.437
DOI:
10.18653/v1/2021.findings-acl.437
Bibkey:
Cite (ACL):
Jordi Armengol-Estapé, Casimiro Pio Carrino, Carlos Rodriguez-Penagos, Ona de Gibert Bonet, Carme Armentano-Oller, Aitor Gonzalez-Agirre, Maite Melero, and Marta Villegas. 2021. Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 4933–4946, Online. Association for Computational Linguistics.
Cite (Informal):
Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan (Armengol-Estapé et al., Findings 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.findings-acl.437.pdf
Video:
 https://aclanthology.org/2021.findings-acl.437.mp4
Data
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