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
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
Bibkey:
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)
Copy Citation:
PDF:
https://aclanthology.org/2021.findings-acl.433.pdf
Video:
 https://aclanthology.org/2021.findings-acl.433.mp4
Code
 wietsedv/low-resource-adapt