Contact Relatedness can help improve multilingual NMT: Microsoft STCI-MT @ WMT20
Vikrant Goyal, Anoop Kunchukuttan, Rahul Kejriwal, Siddharth Jain, Amit Bhagwat
Abstract
We describe our submission for the English→Tamil and Tamil→English news translation shared task. In this submission, we focus on exploring if a low-resource language (Tamil) can benefit from a high-resource language (Hindi) with which it shares contact relatedness. We show utilizing contact relatedness via multilingual NMT can significantly improve translation quality for English-Tamil translation.- Anthology ID:
- 2020.wmt-1.19
- Volume:
- Proceedings of the Fifth Conference on Machine Translation
- Month:
- November
- Year:
- 2020
- Address:
- Online
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 202–206
- Language:
- URL:
- https://aclanthology.org/2020.wmt-1.19
- DOI:
- Cite (ACL):
- Vikrant Goyal, Anoop Kunchukuttan, Rahul Kejriwal, Siddharth Jain, and Amit Bhagwat. 2020. Contact Relatedness can help improve multilingual NMT: Microsoft STCI-MT @ WMT20. In Proceedings of the Fifth Conference on Machine Translation, pages 202–206, Online. Association for Computational Linguistics.
- Cite (Informal):
- Contact Relatedness can help improve multilingual NMT: Microsoft STCI-MT @ WMT20 (Goyal et al., WMT 2020)
- PDF:
- https://preview.aclanthology.org/nodalida-main-page/2020.wmt-1.19.pdf