Neural Machine Translation: Hindi-Nepali

Sahinur Rahman Laskar, Partha Pakray, Sivaji Bandyopadhyay


Abstract
With the extensive use of Machine Translation (MT) technology, there is progressively interest in directly translating between pairs of similar languages. Because the main challenge is to overcome the limitation of available parallel data to produce a precise MT output. Current work relies on the Neural Machine Translation (NMT) with attention mechanism for the similar language translation of WMT19 shared task in the context of Hindi-Nepali pair. The NMT systems trained the Hindi-Nepali parallel corpus and tested, analyzed in Hindi ⇔ Nepali translation. The official result declared at WMT19 shared task, which shows that our NMT system obtained Bilingual Evaluation Understudy (BLEU) score 24.6 for primary configuration in Nepali to Hindi translation. Also, we have achieved BLEU score 53.7 (Hindi to Nepali) and 49.1 (Nepali to Hindi) in contrastive system type.
Anthology ID:
W19-5427
Volume:
Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)
Month:
August
Year:
2019
Address:
Florence, Italy
Venue:
WMT
SIG:
SIGMT
Publisher:
Association for Computational Linguistics
Note:
Pages:
202–207
Language:
URL:
https://aclanthology.org/W19-5427
DOI:
10.18653/v1/W19-5427
Bibkey:
Cite (ACL):
Sahinur Rahman Laskar, Partha Pakray, and Sivaji Bandyopadhyay. 2019. Neural Machine Translation: Hindi-Nepali. In Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2), pages 202–207, Florence, Italy. Association for Computational Linguistics.
Cite (Informal):
Neural Machine Translation: Hindi-Nepali (Laskar et al., WMT 2019)
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PDF:
https://aclanthology.org/W19-5427.pdf