NITS-CNLP Low-Resource Neural Machine Translation Systems of English-Manipuri Language Pair

Kshetrimayum Boynao Singh, Avichandra Singh Ningthoujam, Loitongbam Sanayai Meetei, Sivaji Bandyopadhyay, Thoudam Doren Singh


Abstract
This paper describes the transformer-based Neural Machine translation (NMT) system for the Low-Resource Indic Language Translation task for the English-Manipuri language pair submitted by the Centre for Natural Language Processing in National Institute of Technology Silchar, India (NITS-CNLP) in the WMT 2023 shared task. The model attained an overall BLEU score of 22.75 and 26.92 for the English to Manipuri and Manipuri to English translations respectively. Experimental results for English to Manipuri and Manipuri to English models for character level n-gram F-score (chrF) of 48.35 and 48.64, RIBES of 0.61 and 0.65, TER of 70.02 and 67.62, as well as COMET of 0.70 and 0.66 respectively are reported.
Anthology ID:
2023.wmt-1.92
Volume:
Proceedings of the Eighth Conference on Machine Translation
Month:
December
Year:
2023
Address:
Singapore
Editors:
Philipp Koehn, Barry Haddow, Tom Kocmi, Christof Monz
Venue:
WMT
SIG:
SIGMT
Publisher:
Association for Computational Linguistics
Note:
Pages:
967–971
Language:
URL:
https://aclanthology.org/2023.wmt-1.92
DOI:
10.18653/v1/2023.wmt-1.92
Bibkey:
Cite (ACL):
Kshetrimayum Boynao Singh, Avichandra Singh Ningthoujam, Loitongbam Sanayai Meetei, Sivaji Bandyopadhyay, and Thoudam Doren Singh. 2023. NITS-CNLP Low-Resource Neural Machine Translation Systems of English-Manipuri Language Pair. In Proceedings of the Eighth Conference on Machine Translation, pages 967–971, Singapore. Association for Computational Linguistics.
Cite (Informal):
NITS-CNLP Low-Resource Neural Machine Translation Systems of English-Manipuri Language Pair (Singh et al., WMT 2023)
Copy Citation:
PDF:
https://aclanthology.org/2023.wmt-1.92.pdf