Efforts Towards Developing a Tamang Nepali Machine Translation System

Binaya Kumar Chaudhary, Bal Krishna Bal, Rasil Baidar

Abstract
The Tamang language is spoken mainly in Nepal, Sikkim, West Bengal, some parts of Assam, and the North East region of India. As per the 2011 census conducted by the Nepal Government, there are about 1.35 million Tamang speakers in Nepal itself. In this regard, a Machine Translation System for Tamang-Nepali language pair is significant both from research and practical outcomes in terms of enabling communication between the Tamang and the Nepali communities. In this work, we train the Transformer Neural Machine Translation (NMT) architecture with attention using a small hand-labeled or aligned Tamang-Nepali corpus (15K sentence pairs). Our preliminary results show BLEU scores of 27.74 for the Nepali→Tamang direction and 23.74 in the Tamang→Nepali direction. We are currently working on increasing the datasets as well as improving the model to obtain better BLEU scores. We also plan to extend the work to add the English language to the model, thus making it a trilingual Machine Translation System for Tamang-Nepali-English languages.
Anthology ID:
2020.icon-main.37
Volume:
Proceedings of the 17th International Conference on Natural Language Processing (ICON)
Month:
December
Year:
2020
Address:
Indian Institute of Technology Patna, Patna, India
Editors:
Pushpak Bhattacharyya, Dipti Misra Sharma, Rajeev Sangal
Venue:
ICON
SIG:
Publisher:
NLP Association of India (NLPAI)
Note:
Pages:
281–286
Language:
URL:
https://aclanthology.org/2020.icon-main.37
DOI:
Bibkey:
Cite (ACL):
Binaya Kumar Chaudhary, Bal Krishna Bal, and Rasil Baidar. 2020. Efforts Towards Developing a Tamang Nepali Machine Translation System. In Proceedings of the 17th International Conference on Natural Language Processing (ICON), pages 281–286, Indian Institute of Technology Patna, Patna, India. NLP Association of India (NLPAI).
Cite (Informal):
Efforts Towards Developing a Tamang Nepali Machine Translation System (Chaudhary et al., ICON 2020)
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