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
- Editors:
- Loïc Barrault, Ondřej Bojar, Fethi Bougares, Rajen Chatterjee, Marta R. Costa-jussà, Christian Federmann, Mark Fishel, Alexander Fraser, Yvette Graham, Paco Guzman, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, André Martins, Makoto Morishita, Christof Monz, Masaaki Nagata, Toshiaki Nakazawa, Matteo Negri
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 202–206
- Language:
- URL:
- https://aclanthology.org/2020.wmt-1.19
- DOI:
- Bibkey:
- 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)
- Copy Citation:
- PDF:
- https://aclanthology.org/2020.wmt-1.19.pdf
- Video:
- https://slideslive.com/38939654
Export citation
@inproceedings{goyal-etal-2020-contact,
title = "Contact Relatedness can help improve multilingual {NMT}: {M}icrosoft {STCI}-{MT} @ {WMT}20",
author = "Goyal, Vikrant and
Kunchukuttan, Anoop and
Kejriwal, Rahul and
Jain, Siddharth and
Bhagwat, Amit",
editor = {Barrault, Lo{\"\i}c and
Bojar, Ond{\v{r}}ej and
Bougares, Fethi and
Chatterjee, Rajen and
Costa-juss{\`a}, Marta R. and
Federmann, Christian and
Fishel, Mark and
Fraser, Alexander and
Graham, Yvette and
Guzman, Paco and
Haddow, Barry and
Huck, Matthias and
Yepes, Antonio Jimeno and
Koehn, Philipp and
Martins, Andr{\'e} and
Morishita, Makoto and
Monz, Christof and
Nagata, Masaaki and
Nakazawa, Toshiaki and
Negri, Matteo},
booktitle = "Proceedings of the Fifth Conference on Machine Translation",
month = nov,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.wmt-1.19",
pages = "202--206",
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.",
}
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%0 Conference Proceedings %T Contact Relatedness can help improve multilingual NMT: Microsoft STCI-MT @ WMT20 %A Goyal, Vikrant %A Kunchukuttan, Anoop %A Kejriwal, Rahul %A Jain, Siddharth %A Bhagwat, Amit %Y Barrault, Loïc %Y Bojar, Ondřej %Y Bougares, Fethi %Y Chatterjee, Rajen %Y Costa-jussà, Marta R. %Y Federmann, Christian %Y Fishel, Mark %Y Fraser, Alexander %Y Graham, Yvette %Y Guzman, Paco %Y Haddow, Barry %Y Huck, Matthias %Y Yepes, Antonio Jimeno %Y Koehn, Philipp %Y Martins, André %Y Morishita, Makoto %Y Monz, Christof %Y Nagata, Masaaki %Y Nakazawa, Toshiaki %Y Negri, Matteo %S Proceedings of the Fifth Conference on Machine Translation %D 2020 %8 November %I Association for Computational Linguistics %C Online %F goyal-etal-2020-contact %X 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. %U https://aclanthology.org/2020.wmt-1.19 %P 202-206
Markdown (Informal)
[Contact Relatedness can help improve multilingual NMT: Microsoft STCI-MT @ WMT20](https://aclanthology.org/2020.wmt-1.19) (Goyal et al., WMT 2020)
- Contact Relatedness can help improve multilingual NMT: Microsoft STCI-MT @ WMT20 (Goyal et al., WMT 2020)
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.