Training Strategies for Neural Multilingual Morphological Inflection

Adam Ek, Jean-Philippe Bernardy


Abstract
This paper presents the submission of team GUCLASP to SIGMORPHON 2021 Shared Task on Generalization in Morphological Inflection Generation. We develop a multilingual model for Morphological Inflection and primarily focus on improving the model by using various training strategies to improve accuracy and generalization across languages.
Anthology ID:
2021.sigmorphon-1.26
Volume:
Proceedings of the 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology
Month:
August
Year:
2021
Address:
Online
Venue:
SIGMORPHON
SIG:
SIGMORPHON
Publisher:
Association for Computational Linguistics
Note:
Pages:
260–267
Language:
URL:
https://aclanthology.org/2021.sigmorphon-1.26
DOI:
10.18653/v1/2021.sigmorphon-1.26
Bibkey:
Cite (ACL):
Adam Ek and Jean-Philippe Bernardy. 2021. Training Strategies for Neural Multilingual Morphological Inflection. In Proceedings of the 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, pages 260–267, Online. Association for Computational Linguistics.
Cite (Informal):
Training Strategies for Neural Multilingual Morphological Inflection (Ek & Bernardy, SIGMORPHON 2021)
Copy Citation:
PDF:
https://preview.aclanthology.org/remove-xml-comments/2021.sigmorphon-1.26.pdf