CUNI Submission for the Inuktitut Language in WMT News 2020

Tom Kocmi

doi:10.18653/v1/2020.wmt-1.14

CUNI Submission for the Inuktitut Language in WMT News 2020

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Abstract

This paper describes CUNI submission to the WMT 2020 News Translation Shared Task for the low-resource scenario Inuktitut–English in both translation directions. Our system combines transfer learning from a Czech–English high-resource language pair and backtranslation. We notice surprising behaviour when using synthetic data, which can be possibly attributed to a narrow domain of training and test data. We are using the Transformer model in a constrained submission.

Anthology ID:: 2020.wmt-1.14
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:: 171–174
Language:
URL:: https://aclanthology.org/2020.wmt-1.14/
DOI:: 10.18653/v1/2020.wmt-1.14
Bibkey:
Cite (ACL):: Tom Kocmi. 2020. CUNI Submission for the Inuktitut Language in WMT News 2020. In Proceedings of the Fifth Conference on Machine Translation, pages 171–174, Online. Association for Computational Linguistics.
Cite (Informal):: CUNI Submission for the Inuktitut Language in WMT News 2020 (Kocmi, WMT 2020)
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PDF:: https://aclanthology.org/2020.wmt-1.14.pdf
Video:: https://slideslive.com/38939666

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@inproceedings{kocmi-2020-cuni,
    title = "{CUNI} Submission for the {I}nuktitut Language in {WMT} News 2020",
    author = "Kocmi, Tom",
    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-1.14/",
    doi = "10.18653/v1/2020.wmt-1.14",
    pages = "171--174",
    abstract = "This paper describes CUNI submission to the WMT 2020 News Translation Shared Task for the low-resource scenario Inuktitut{--}English in both translation directions. Our system combines transfer learning from a Czech{--}English high-resource language pair and backtranslation. We notice surprising behaviour when using synthetic data, which can be possibly attributed to a narrow domain of training and test data. We are using the Transformer model in a constrained submission."
}

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%0 Conference Proceedings
%T CUNI Submission for the Inuktitut Language in WMT News 2020
%A Kocmi, Tom
%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 kocmi-2020-cuni
%X This paper describes CUNI submission to the WMT 2020 News Translation Shared Task for the low-resource scenario Inuktitut–English in both translation directions. Our system combines transfer learning from a Czech–English high-resource language pair and backtranslation. We notice surprising behaviour when using synthetic data, which can be possibly attributed to a narrow domain of training and test data. We are using the Transformer model in a constrained submission.
%R 10.18653/v1/2020.wmt-1.14
%U https://aclanthology.org/2020.wmt-1.14/
%U https://doi.org/10.18653/v1/2020.wmt-1.14
%P 171-174

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Markdown (Informal)

[CUNI Submission for the Inuktitut Language in WMT News 2020](https://aclanthology.org/2020.wmt-1.14/) (Kocmi, WMT 2020)

CUNI Submission for the Inuktitut Language in WMT News 2020 (Kocmi, WMT 2020)

ACL

Tom Kocmi. 2020. CUNI Submission for the Inuktitut Language in WMT News 2020. In Proceedings of the Fifth Conference on Machine Translation, pages 171–174, Online. Association for Computational Linguistics.