Contact Relatedness can help improve multilingual NMT: Microsoft STCI-MT @ WMT20

Vikrant Goyal; Anoop Kunchukuttan; Rahul Kejriwal; Siddharth Jain; Amit Bhagwat

Contact Relatedness can help improve multilingual NMT: Microsoft STCI-MT @ WMT20

Vikrant Goyal, Anoop Kunchukuttan, Rahul Kejriwal, Siddharth Jain, Amit Bhagwat

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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)
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PDF:: https://aclanthology.org/2020.wmt-1.19.pdf
Video:: https://slideslive.com/38939654

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@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{\textrightarrow}Tamil and Tamil{\textrightarrow}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

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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.