ISTIC’s Triangular Machine Translation System for WMT2021

Hangcheng Guo; Wenbin Liu; Yanqing He; Tian Lan; Hongjiao Xu; Zhenfeng Wu; You Pan

ISTIC’s Triangular Machine Translation System for WMT2021

Hangcheng Guo, Wenbin Liu, Yanqing He, Tian Lan, Hongjiao Xu, Zhenfeng Wu, You Pan

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Abstract

This paper describes the ISTIC’s submission to the Triangular Machine Translation Task of Russian-to-Chinese machine translation for WMT’ 2021. In order to fully utilize the provided corpora and promote the translation performance from Russian to Chinese, the pivot method is used in our system which pipelines the Russian-to-English translator and the English-to-Chinese translator to form a Russian-to-Chinese translator. Our system is based on the Transformer architecture and several effective strategies are adopted to improve the quality of translation, including corpus filtering, data pre-processing, system combination and model ensemble.

Anthology ID:: 2021.wmt-1.36
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:: 320–324
Language:
URL:: https://aclanthology.org/2021.wmt-1.36/
DOI:
Bibkey:
Cite (ACL):: Hangcheng Guo, Wenbin Liu, Yanqing He, Tian Lan, Hongjiao Xu, Zhenfeng Wu, and You Pan. 2021. ISTIC’s Triangular Machine Translation System for WMT2021. In Proceedings of the Sixth Conference on Machine Translation, pages 320–324, Online. Association for Computational Linguistics.
Cite (Informal):: ISTIC’s Triangular Machine Translation System for WMT2021 (Guo et al., WMT 2021)
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PDF:: https://aclanthology.org/2021.wmt-1.36.pdf

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@inproceedings{guo-etal-2021-istics,
    title = "{ISTIC}{'}s Triangular Machine Translation System for {WMT}2021",
    author = "Guo, Hangcheng  and
      Liu, Wenbin  and
      He, Yanqing  and
      Lan, Tian  and
      Xu, Hongjiao  and
      Wu, Zhenfeng  and
      Pan, You",
    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-1.36/",
    pages = "320--324",
    abstract = "This paper describes the ISTIC{'}s submission to the Triangular Machine Translation Task of Russian-to-Chinese machine translation for WMT' 2021. In order to fully utilize the provided corpora and promote the translation performance from Russian to Chinese, the pivot method is used in our system which pipelines the Russian-to-English translator and the English-to-Chinese translator to form a Russian-to-Chinese translator. Our system is based on the Transformer architecture and several effective strategies are adopted to improve the quality of translation, including corpus filtering, data pre-processing, system combination and model ensemble."
}

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%0 Conference Proceedings
%T ISTIC’s Triangular Machine Translation System for WMT2021
%A Guo, Hangcheng
%A Liu, Wenbin
%A He, Yanqing
%A Lan, Tian
%A Xu, Hongjiao
%A Wu, Zhenfeng
%A Pan, You
%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 guo-etal-2021-istics
%X This paper describes the ISTIC’s submission to the Triangular Machine Translation Task of Russian-to-Chinese machine translation for WMT’ 2021. In order to fully utilize the provided corpora and promote the translation performance from Russian to Chinese, the pivot method is used in our system which pipelines the Russian-to-English translator and the English-to-Chinese translator to form a Russian-to-Chinese translator. Our system is based on the Transformer architecture and several effective strategies are adopted to improve the quality of translation, including corpus filtering, data pre-processing, system combination and model ensemble.
%U https://aclanthology.org/2021.wmt-1.36/
%P 320-324

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Markdown (Informal)

[ISTIC’s Triangular Machine Translation System for WMT2021](https://aclanthology.org/2021.wmt-1.36/) (Guo et al., WMT 2021)

ISTIC’s Triangular Machine Translation System for WMT2021 (Guo et al., WMT 2021)

ACL

Hangcheng Guo, Wenbin Liu, Yanqing He, Tian Lan, Hongjiao Xu, Zhenfeng Wu, and You Pan. 2021. ISTIC’s Triangular Machine Translation System for WMT2021. In Proceedings of the Sixth Conference on Machine Translation, pages 320–324, Online. Association for Computational Linguistics.