Cognate Projection for Low-Resource Inflection Generation

Bradley Hauer, Amir Ahmad Habibi, Yixing Luan, Rashed Rubby Riyadh, Grzegorz Kondrak


Abstract
We propose cognate projection as a method of crosslingual transfer for inflection generation in the context of the SIGMORPHON 2019 Shared Task. The results on four language pairs show the method is effective when no low-resource training data is available.
Anthology ID:
W19-4202
Volume:
Proceedings of the 16th Workshop on Computational Research in Phonetics, Phonology, and Morphology
Month:
August
Year:
2019
Address:
Florence, Italy
Editors:
Garrett Nicolai, Ryan Cotterell
Venue:
ACL
SIG:
SIGMORPHON
Publisher:
Association for Computational Linguistics
Note:
Pages:
6–11
Language:
URL:
https://aclanthology.org/W19-4202
DOI:
10.18653/v1/W19-4202
Bibkey:
Cite (ACL):
Bradley Hauer, Amir Ahmad Habibi, Yixing Luan, Rashed Rubby Riyadh, and Grzegorz Kondrak. 2019. Cognate Projection for Low-Resource Inflection Generation. In Proceedings of the 16th Workshop on Computational Research in Phonetics, Phonology, and Morphology, pages 6–11, Florence, Italy. Association for Computational Linguistics.
Cite (Informal):
Cognate Projection for Low-Resource Inflection Generation (Hauer et al., ACL 2019)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingest-bitext-workshop/W19-4202.pdf