Low Resource Similar Language Neural Machine Translation for Tamil-Telugu

Vandan Mujadia, Dipti Sharma


Abstract
This paper describes the participation of team oneNLP (LTRC, IIIT-Hyderabad) for the WMT 2021 task, similar language translation. We experimented with transformer based Neural Machine Translation and explored the use of language similarity for Tamil-Telugu and Telugu-Tamil. We incorporated use of different subword configurations, script conversion and single model training for both directions as exploratory experiments.
Anthology ID:
2021.wmt-1.30
Volume:
Proceedings of the Sixth Conference on Machine Translation
Month:
November
Year:
2021
Address:
Online
Editors:
Loic Barrault, Ondrej Bojar, Fethi Bougares, Rajen Chatterjee, Marta R. Costa-jussa, Christian Federmann, Mark Fishel, Alexander Fraser, Markus Freitag, Yvette Graham, Roman Grundkiewicz, Paco Guzman, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, Tom Kocmi, Andre Martins, Makoto Morishita, Christof Monz
Venue:
WMT
SIG:
SIGMT
Publisher:
Association for Computational Linguistics
Note:
Pages:
288–291
Language:
URL:
https://aclanthology.org/2021.wmt-1.30
DOI:
Bibkey:
Cite (ACL):
Vandan Mujadia and Dipti Sharma. 2021. Low Resource Similar Language Neural Machine Translation for Tamil-Telugu. In Proceedings of the Sixth Conference on Machine Translation, pages 288–291, Online. Association for Computational Linguistics.
Cite (Informal):
Low Resource Similar Language Neural Machine Translation for Tamil-Telugu (Mujadia & Sharma, WMT 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.wmt-1.30.pdf