Supervised and Unsupervised Machine Translation for Myanmar-English and Khmer-English

Benjamin Marie; Hour Kaing; Aye Myat Mon; Chenchen Ding; Atsushi Fujita; Masao Utiyama; Eiichiro Sumita

doi:10.18653/v1/D19-5206

Supervised and Unsupervised Machine Translation for Myanmar-English and Khmer-English

Benjamin Marie, Hour Kaing, Aye Myat Mon, Chenchen Ding, Atsushi Fujita, Masao Utiyama, Eiichiro Sumita

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Abstract

This paper presents the NICT’s supervised and unsupervised machine translation systems for the WAT2019 Myanmar-English and Khmer-English translation tasks. For all the translation directions, we built state-of-the-art supervised neural (NMT) and statistical (SMT) machine translation systems, using monolingual data cleaned and normalized. Our combination of NMT and SMT performed among the best systems for the four translation directions. We also investigated the feasibility of unsupervised machine translation for low-resource and distant language pairs and confirmed observations of previous work showing that unsupervised MT is still largely unable to deal with them.

Anthology ID:: D19-5206
Volume:: Proceedings of the 6th Workshop on Asian Translation
Month:: November
Year:: 2019
Address:: Hong Kong, China
Editors:: Toshiaki Nakazawa, Chenchen Ding, Raj Dabre, Anoop Kunchukuttan, Nobushige Doi, Yusuke Oda, Ondřej Bojar, Shantipriya Parida, Isao Goto, Hidaya Mino
Venue:: WAT
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 68–75
Language:
URL:: https://aclanthology.org/D19-5206/
DOI:: 10.18653/v1/D19-5206
Bibkey:
Cite (ACL):: Benjamin Marie, Hour Kaing, Aye Myat Mon, Chenchen Ding, Atsushi Fujita, Masao Utiyama, and Eiichiro Sumita. 2019. Supervised and Unsupervised Machine Translation for Myanmar-English and Khmer-English. In Proceedings of the 6th Workshop on Asian Translation, pages 68–75, Hong Kong, China. Association for Computational Linguistics.
Cite (Informal):: Supervised and Unsupervised Machine Translation for Myanmar-English and Khmer-English (Marie et al., WAT 2019)
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PDF:: https://aclanthology.org/D19-5206.pdf

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@inproceedings{marie-etal-2019-supervised,
    title = "Supervised and Unsupervised Machine Translation for {M}yanmar-{E}nglish and {K}hmer-{E}nglish",
    author = "Marie, Benjamin  and
      Kaing, Hour  and
      Mon, Aye Myat  and
      Ding, Chenchen  and
      Fujita, Atsushi  and
      Utiyama, Masao  and
      Sumita, Eiichiro",
    editor = "Nakazawa, Toshiaki  and
      Ding, Chenchen  and
      Dabre, Raj  and
      Kunchukuttan, Anoop  and
      Doi, Nobushige  and
      Oda, Yusuke  and
      Bojar, Ond{\v{r}}ej  and
      Parida, Shantipriya  and
      Goto, Isao  and
      Mino, Hidaya",
    booktitle = "Proceedings of the 6th Workshop on Asian Translation",
    month = nov,
    year = "2019",
    address = "Hong Kong, China",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/D19-5206/",
    doi = "10.18653/v1/D19-5206",
    pages = "68--75",
    abstract = "This paper presents the NICT{'}s supervised and unsupervised machine translation systems for the WAT2019 Myanmar-English and Khmer-English translation tasks. For all the translation directions, we built state-of-the-art supervised neural (NMT) and statistical (SMT) machine translation systems, using monolingual data cleaned and normalized. Our combination of NMT and SMT performed among the best systems for the four translation directions. We also investigated the feasibility of unsupervised machine translation for low-resource and distant language pairs and confirmed observations of previous work showing that unsupervised MT is still largely unable to deal with them."
}

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%0 Conference Proceedings
%T Supervised and Unsupervised Machine Translation for Myanmar-English and Khmer-English
%A Marie, Benjamin
%A Kaing, Hour
%A Mon, Aye Myat
%A Ding, Chenchen
%A Fujita, Atsushi
%A Utiyama, Masao
%A Sumita, Eiichiro
%Y Nakazawa, Toshiaki
%Y Ding, Chenchen
%Y Dabre, Raj
%Y Kunchukuttan, Anoop
%Y Doi, Nobushige
%Y Oda, Yusuke
%Y Bojar, Ondřej
%Y Parida, Shantipriya
%Y Goto, Isao
%Y Mino, Hidaya
%S Proceedings of the 6th Workshop on Asian Translation
%D 2019
%8 November
%I Association for Computational Linguistics
%C Hong Kong, China
%F marie-etal-2019-supervised
%X This paper presents the NICT’s supervised and unsupervised machine translation systems for the WAT2019 Myanmar-English and Khmer-English translation tasks. For all the translation directions, we built state-of-the-art supervised neural (NMT) and statistical (SMT) machine translation systems, using monolingual data cleaned and normalized. Our combination of NMT and SMT performed among the best systems for the four translation directions. We also investigated the feasibility of unsupervised machine translation for low-resource and distant language pairs and confirmed observations of previous work showing that unsupervised MT is still largely unable to deal with them.
%R 10.18653/v1/D19-5206
%U https://aclanthology.org/D19-5206/
%U https://doi.org/10.18653/v1/D19-5206
%P 68-75

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Markdown (Informal)

[Supervised and Unsupervised Machine Translation for Myanmar-English and Khmer-English](https://aclanthology.org/D19-5206/) (Marie et al., WAT 2019)

Supervised and Unsupervised Machine Translation for Myanmar-English and Khmer-English (Marie et al., WAT 2019)

ACL

Benjamin Marie, Hour Kaing, Aye Myat Mon, Chenchen Ding, Atsushi Fujita, Masao Utiyama, and Eiichiro Sumita. 2019. Supervised and Unsupervised Machine Translation for Myanmar-English and Khmer-English. In Proceedings of the 6th Workshop on Asian Translation, pages 68–75, Hong Kong, China. Association for Computational Linguistics.