Multi-Source Transformer for Kazakh-Russian-English Neural Machine Translation

Patrick Littell; Chi-Kiu Lo; Samuel Larkin; Darlene Stewart

doi:10.18653/v1/W19-5326

Multi-Source Transformer for Kazakh-Russian-English Neural Machine Translation

Patrick Littell, Chi-kiu Lo, Samuel Larkin, Darlene Stewart

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Abstract

We describe the neural machine translation (NMT) system developed at the National Research Council of Canada (NRC) for the Kazakh-English news translation task of the Fourth Conference on Machine Translation (WMT19). Our submission is a multi-source NMT taking both the original Kazakh sentence and its Russian translation as input for translating into English.

Anthology ID:: W19-5326
Volume:: Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
Month:: August
Year:: 2019
Address:: Florence, Italy
Editors:: Ondřej Bojar, Rajen Chatterjee, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, André Martins, Christof Monz, Matteo Negri, Aurélie Névéol, Mariana Neves, Matt Post, Marco Turchi, Karin Verspoor
Venue:: WMT
SIG:: SIGMT
Publisher:: Association for Computational Linguistics
Note:
Pages:: 267–274
Language:
URL:: https://aclanthology.org/W19-5326/
DOI:: 10.18653/v1/W19-5326
Bibkey:
Cite (ACL):: Patrick Littell, Chi-kiu Lo, Samuel Larkin, and Darlene Stewart. 2019. Multi-Source Transformer for Kazakh-Russian-English Neural Machine Translation. In Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1), pages 267–274, Florence, Italy. Association for Computational Linguistics.
Cite (Informal):: Multi-Source Transformer for Kazakh-Russian-English Neural Machine Translation (Littell et al., WMT 2019)
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PDF:: https://aclanthology.org/W19-5326.pdf

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@inproceedings{littell-etal-2019-multi,
    title = "Multi-Source Transformer for {K}azakh-{R}ussian-{E}nglish Neural Machine Translation",
    author = "Littell, Patrick  and
      Lo, Chi-kiu  and
      Larkin, Samuel  and
      Stewart, Darlene",
    editor = "Bojar, Ond{\v{r}}ej  and
      Chatterjee, Rajen  and
      Federmann, Christian  and
      Fishel, Mark  and
      Graham, Yvette  and
      Haddow, Barry  and
      Huck, Matthias  and
      Yepes, Antonio Jimeno  and
      Koehn, Philipp  and
      Martins, Andr{\'e}  and
      Monz, Christof  and
      Negri, Matteo  and
      N{\'e}v{\'e}ol, Aur{\'e}lie  and
      Neves, Mariana  and
      Post, Matt  and
      Turchi, Marco  and
      Verspoor, Karin",
    booktitle = "Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)",
    month = aug,
    year = "2019",
    address = "Florence, Italy",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W19-5326/",
    doi = "10.18653/v1/W19-5326",
    pages = "267--274",
    abstract = "We describe the neural machine translation (NMT) system developed at the National Research Council of Canada (NRC) for the Kazakh-English news translation task of the Fourth Conference on Machine Translation (WMT19). Our submission is a multi-source NMT taking both the original Kazakh sentence and its Russian translation as input for translating into English."
}

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%0 Conference Proceedings
%T Multi-Source Transformer for Kazakh-Russian-English Neural Machine Translation
%A Littell, Patrick
%A Lo, Chi-kiu
%A Larkin, Samuel
%A Stewart, Darlene
%Y Bojar, Ondřej
%Y Chatterjee, Rajen
%Y Federmann, Christian
%Y Fishel, Mark
%Y Graham, Yvette
%Y Haddow, Barry
%Y Huck, Matthias
%Y Yepes, Antonio Jimeno
%Y Koehn, Philipp
%Y Martins, André
%Y Monz, Christof
%Y Negri, Matteo
%Y Névéol, Aurélie
%Y Neves, Mariana
%Y Post, Matt
%Y Turchi, Marco
%Y Verspoor, Karin
%S Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
%D 2019
%8 August
%I Association for Computational Linguistics
%C Florence, Italy
%F littell-etal-2019-multi
%X We describe the neural machine translation (NMT) system developed at the National Research Council of Canada (NRC) for the Kazakh-English news translation task of the Fourth Conference on Machine Translation (WMT19). Our submission is a multi-source NMT taking both the original Kazakh sentence and its Russian translation as input for translating into English.
%R 10.18653/v1/W19-5326
%U https://aclanthology.org/W19-5326/
%U https://doi.org/10.18653/v1/W19-5326
%P 267-274

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Markdown (Informal)

[Multi-Source Transformer for Kazakh-Russian-English Neural Machine Translation](https://aclanthology.org/W19-5326/) (Littell et al., WMT 2019)

Multi-Source Transformer for Kazakh-Russian-English Neural Machine Translation (Littell et al., WMT 2019)

ACL

Patrick Littell, Chi-kiu Lo, Samuel Larkin, and Darlene Stewart. 2019. Multi-Source Transformer for Kazakh-Russian-English Neural Machine Translation. In Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1), pages 267–274, Florence, Italy. Association for Computational Linguistics.