Abstract
The present paper enumerates the development of Panlingua-KMI Machine Translation (MT) systems for Hindi ↔ Nepali language pair, designed as part of the Similar Language Translation Task at the WMT 2019 Shared Task. The Panlingua-KMI team conducted a series of experiments to explore both the phrase-based statistical (PBSMT) and neural methods (NMT). Among the 11 MT systems prepared under this task, 6 PBSMT systems were prepared for Nepali-Hindi, 1 PBSMT for Hindi-Nepali and 2 NMT systems were developed for Nepali↔Hindi. The results show that PBSMT could be an effective method for developing MT systems for closely-related languages. Our Hindi-Nepali PBSMT system was ranked 2nd among the 13 systems submitted for the pair and our Nepali-Hindi PBSMTsystem was ranked 4th among the 12 systems submitted for the task.- Anthology ID:
- W19-5429
- 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:
- 213–218
- Language:
- URL:
- https://aclanthology.org/W19-5429
- DOI:
- 10.18653/v1/W19-5429
- Cite (ACL):
- Atul Kr. Ojha, Ritesh Kumar, Akanksha Bansal, and Priya Rani. 2019. Panlingua-KMI MT System for Similar Language Translation Task at WMT 2019. In Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2), pages 213–218, Florence, Italy. Association for Computational Linguistics.
- Cite (Informal):
- Panlingua-KMI MT System for Similar Language Translation Task at WMT 2019 (Ojha et al., WMT 2019)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/W19-5429.pdf