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
- 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)
- PDF:
- https://preview.aclanthology.org/paclic-22-ingestion/2021.findings-acl.437.pdf
- Data
- DOGC, MLQA, XQuAD, caWaC