An Attention-Based Neural Translation System for English to Bodo

Subhash Wary; Birhang Borgoyary; Akher Ahmed; Mohanji Sah; Apurbalal Senapati

An Attention-Based Neural Translation System for English to Bodo

Subhash Wary, Birhang Borgoyary, Akher Ahmed, Mohanji Sah, Apurbalal Senapati

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Abstract

Bodo is a resource scarce, the indigenous language belongs to the Tibeto-Burman family. It is mainly spoken in the north-east region of India. It has both linguistic and cultural significance in the region. Only a limited number of resources and tools are available in this language. This paper presents a study of neural machine translation for the English-Bodo language pair. The system is developed on a relatively small parallel corpus provided by the Low-Resource Indic Language Translation as a part of WMT-2025. The system is evaluated by the WMT-2025 organizers with the evaluation matrices like BLUE, METEOR, ROUGE-L, chrF and TER. The result is not promising but it will help for the further improvement. The result is not encouraging, but it provides a foundation for further improvement.

Anthology ID:: 2025.wmt-1.96
Volume:: Proceedings of the Tenth Conference on Machine Translation
Month:: November
Year:: 2025
Address:: Suzhou, China
Editors:: Barry Haddow, Tom Kocmi, Philipp Koehn, Christof Monz
Venue:: WMT
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 1210–1214
Language:
URL:: https://aclanthology.org/2025.wmt-1.96/
DOI:
Bibkey:
Cite (ACL):: Subhash Wary, Birhang Borgoyary, Akher Ahmed, Mohanji Sah, and Apurbalal Senapati. 2025. An Attention-Based Neural Translation System for English to Bodo. In Proceedings of the Tenth Conference on Machine Translation, pages 1210–1214, Suzhou, China. Association for Computational Linguistics.
Cite (Informal):: An Attention-Based Neural Translation System for English to Bodo (Wary et al., WMT 2025)
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PDF:: https://aclanthology.org/2025.wmt-1.96.pdf

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@inproceedings{wary-etal-2025-attention,
title = "An Attention-Based Neural Translation System for {E}nglish to {B}odo",
author = "Wary, Subhash and
Borgoyary, Birhang and
Ahmed, Akher and
Sah, Mohanji and
Senapati, Apurbalal",
editor = "Haddow, Barry and
Kocmi, Tom and
Koehn, Philipp and
Monz, Christof",
booktitle = "Proceedings of the Tenth Conference on Machine Translation",
month = nov,
year = "2025",
address = "Suzhou, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.wmt-1.96/",
pages = "1210--1214",
ISBN = "979-8-89176-341-8",
abstract = "Bodo is a resource scarce, the indigenous language belongs to the Tibeto-Burman family. It is mainly spoken in the north-east region of India. It has both linguistic and cultural significance in the region. Only a limited number of resources and tools are available in this language. This paper presents a study of neural machine translation for the English-Bodo language pair. The system is developed on a relatively small parallel corpus provided by the Low-Resource Indic Language Translation as a part of WMT-2025. The system is evaluated by the WMT-2025 organizers with the evaluation matrices like BLUE, METEOR, ROUGE-L, chrF and TER. The result is not promising but it will help for the further improvement. The result is not encouraging, but it provides a foundation for further improvement."
}

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%0 Conference Proceedings
%T An Attention-Based Neural Translation System for English to Bodo
%A Wary, Subhash
%A Borgoyary, Birhang
%A Ahmed, Akher
%A Sah, Mohanji
%A Senapati, Apurbalal
%Y Haddow, Barry
%Y Kocmi, Tom
%Y Koehn, Philipp
%Y Monz, Christof
%S Proceedings of the Tenth Conference on Machine Translation
%D 2025
%8 November
%I Association for Computational Linguistics
%C Suzhou, China
%@ 979-8-89176-341-8
%F wary-etal-2025-attention
%X Bodo is a resource scarce, the indigenous language belongs to the Tibeto-Burman family. It is mainly spoken in the north-east region of India. It has both linguistic and cultural significance in the region. Only a limited number of resources and tools are available in this language. This paper presents a study of neural machine translation for the English-Bodo language pair. The system is developed on a relatively small parallel corpus provided by the Low-Resource Indic Language Translation as a part of WMT-2025. The system is evaluated by the WMT-2025 organizers with the evaluation matrices like BLUE, METEOR, ROUGE-L, chrF and TER. The result is not promising but it will help for the further improvement. The result is not encouraging, but it provides a foundation for further improvement.
%U https://aclanthology.org/2025.wmt-1.96/
%P 1210-1214

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Markdown (Informal)

[An Attention-Based Neural Translation System for English to Bodo](https://aclanthology.org/2025.wmt-1.96/) (Wary et al., WMT 2025)

An Attention-Based Neural Translation System for English to Bodo (Wary et al., WMT 2025)

ACL

Subhash Wary, Birhang Borgoyary, Akher Ahmed, Mohanji Sah, and Apurbalal Senapati. 2025. An Attention-Based Neural Translation System for English to Bodo. In Proceedings of the Tenth Conference on Machine Translation, pages 1210–1214, Suzhou, China. Association for Computational Linguistics.