Adapting Monolingual Models: Data can be Scarce when Language Similarity is High
Wietse de Vries, Martijn Bartelds, Malvina Nissim, Martijn Wieling
- Anthology ID:
- 2021.findings-acl.433
- Volume:
- Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
- Month:
- August
- Year:
- 2021
- Address:
- Online
- Editors:
- Chengqing Zong, Fei Xia, Wenjie Li, Roberto Navigli
- Venue:
- Findings
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 4901–4907
- Language:
- URL:
- https://aclanthology.org/2021.findings-acl.433
- DOI:
- 10.18653/v1/2021.findings-acl.433
- Cite (ACL):
- Wietse de Vries, Martijn Bartelds, Malvina Nissim, and Martijn Wieling. 2021. Adapting Monolingual Models: Data can be Scarce when Language Similarity is High. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 4901–4907, Online. Association for Computational Linguistics.
- Cite (Informal):
- Adapting Monolingual Models: Data can be Scarce when Language Similarity is High (de Vries et al., Findings 2021)
- PDF:
- https://preview.aclanthology.org/naacl-24-ws-corrections/2021.findings-acl.433.pdf
- Code
- wietsedv/low-resource-adapt