PROMT Systems for WMT21 Terminology Translation Task

Alexander Molchanov; Vladislav Kovalenko; Fedor Bykov

PROMT Systems for WMT21 Terminology Translation Task

Alexander Molchanov, Vladislav Kovalenko, Fedor Bykov

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Abstract

This paper describes the PROMT submissions for the WMT21 Terminology Translation Task. We participate in two directions: English to French and English to Russian. Our final submissions are MarianNMT-based neural systems. We present two technologies for terminology translation: a modification of the Dinu et al. (2019) soft-constrained approach and our own approach called PROMT Smart Neural Dictionary (SmartND). We achieve good results in both directions.

Anthology ID:: 2021.wmt-1.83
Volume:: Proceedings of the Sixth Conference on Machine Translation
Month:: November
Year:: 2021
Address:: Online
Editors:: Loic Barrault, Ondrej Bojar, Fethi Bougares, Rajen Chatterjee, Marta R. Costa-jussa, Christian Federmann, Mark Fishel, Alexander Fraser, Markus Freitag, Yvette Graham, Roman Grundkiewicz, Paco Guzman, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, Tom Kocmi, Andre Martins, Makoto Morishita, Christof Monz
Venue:: WMT
SIG:: SIGMT
Publisher:: Association for Computational Linguistics
Note:
Pages:: 835–841
Language:
URL:: https://aclanthology.org/2021.wmt-1.83/
DOI:
Bibkey:
Cite (ACL):: Alexander Molchanov, Vladislav Kovalenko, and Fedor Bykov. 2021. PROMT Systems for WMT21 Terminology Translation Task. In Proceedings of the Sixth Conference on Machine Translation, pages 835–841, Online. Association for Computational Linguistics.
Cite (Informal):: PROMT Systems for WMT21 Terminology Translation Task (Molchanov et al., WMT 2021)
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PDF:: https://aclanthology.org/2021.wmt-1.83.pdf

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@inproceedings{molchanov-etal-2021-promt,
    title = "{PROMT} Systems for {WMT}21 Terminology Translation Task",
    author = "Molchanov, Alexander  and
      Kovalenko, Vladislav  and
      Bykov, Fedor",
    editor = "Barrault, Loic  and
      Bojar, Ondrej  and
      Bougares, Fethi  and
      Chatterjee, Rajen  and
      Costa-jussa, Marta R.  and
      Federmann, Christian  and
      Fishel, Mark  and
      Fraser, Alexander  and
      Freitag, Markus  and
      Graham, Yvette  and
      Grundkiewicz, Roman  and
      Guzman, Paco  and
      Haddow, Barry  and
      Huck, Matthias  and
      Yepes, Antonio Jimeno  and
      Koehn, Philipp  and
      Kocmi, Tom  and
      Martins, Andre  and
      Morishita, Makoto  and
      Monz, Christof",
    booktitle = "Proceedings of the Sixth Conference on Machine Translation",
    month = nov,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.wmt-1.83/",
    pages = "835--841",
    abstract = "This paper describes the PROMT submissions for the WMT21 Terminology Translation Task. We participate in two directions: English to French and English to Russian. Our final submissions are MarianNMT-based neural systems. We present two technologies for terminology translation: a modification of the Dinu et al. (2019) soft-constrained approach and our own approach called PROMT Smart Neural Dictionary (SmartND). We achieve good results in both directions."
}

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%0 Conference Proceedings
%T PROMT Systems for WMT21 Terminology Translation Task
%A Molchanov, Alexander
%A Kovalenko, Vladislav
%A Bykov, Fedor
%Y Barrault, Loic
%Y Bojar, Ondrej
%Y Bougares, Fethi
%Y Chatterjee, Rajen
%Y Costa-jussa, Marta R.
%Y Federmann, Christian
%Y Fishel, Mark
%Y Fraser, Alexander
%Y Freitag, Markus
%Y Graham, Yvette
%Y Grundkiewicz, Roman
%Y Guzman, Paco
%Y Haddow, Barry
%Y Huck, Matthias
%Y Yepes, Antonio Jimeno
%Y Koehn, Philipp
%Y Kocmi, Tom
%Y Martins, Andre
%Y Morishita, Makoto
%Y Monz, Christof
%S Proceedings of the Sixth Conference on Machine Translation
%D 2021
%8 November
%I Association for Computational Linguistics
%C Online
%F molchanov-etal-2021-promt
%X This paper describes the PROMT submissions for the WMT21 Terminology Translation Task. We participate in two directions: English to French and English to Russian. Our final submissions are MarianNMT-based neural systems. We present two technologies for terminology translation: a modification of the Dinu et al. (2019) soft-constrained approach and our own approach called PROMT Smart Neural Dictionary (SmartND). We achieve good results in both directions.
%U https://aclanthology.org/2021.wmt-1.83/
%P 835-841

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Markdown (Informal)

[PROMT Systems for WMT21 Terminology Translation Task](https://aclanthology.org/2021.wmt-1.83/) (Molchanov et al., WMT 2021)

PROMT Systems for WMT21 Terminology Translation Task (Molchanov et al., WMT 2021)

ACL

Alexander Molchanov, Vladislav Kovalenko, and Fedor Bykov. 2021. PROMT Systems for WMT21 Terminology Translation Task. In Proceedings of the Sixth Conference on Machine Translation, pages 835–841, Online. Association for Computational Linguistics.