DiDi’s Machine Translation System for WMT2020

Tanfang Chen; Weiwei Wang; Wenyang Wei; Xing Shi; Xiangang Li; Jieping Ye; Kevin Knight

doi:10.18653/v1/2020.wmt-1.7

DiDi’s Machine Translation System for WMT2020

Tanfang Chen, Weiwei Wang, Wenyang Wei, Xing Shi, Xiangang Li, Jieping Ye, Kevin Knight

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Abstract

This paper describes the DiDi AI Labs’ submission to the WMT2020 news translation shared task. We participate in the translation direction of Chinese->English. In this direction, we use the Transformer as our baseline model and integrate several techniques for model enhancement, including data filtering, data selection, back-translation, fine-tuning, model ensembling, and re-ranking. As a result, our submission achieves a BLEU score of 36.6 in Chinese->English.

Anthology ID:: 2020.wmt-1.7
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:: 105–112
Language:
URL:: https://aclanthology.org/2020.wmt-1.7/
DOI:: 10.18653/v1/2020.wmt-1.7
Bibkey:
Cite (ACL):: Tanfang Chen, Weiwei Wang, Wenyang Wei, Xing Shi, Xiangang Li, Jieping Ye, and Kevin Knight. 2020. DiDi’s Machine Translation System for WMT2020. In Proceedings of the Fifth Conference on Machine Translation, pages 105–112, Online. Association for Computational Linguistics.
Cite (Informal):: DiDi’s Machine Translation System for WMT2020 (Chen et al., WMT 2020)
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PDF:: https://aclanthology.org/2020.wmt-1.7.pdf
Video:: https://slideslive.com/38939543

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@inproceedings{chen-etal-2020-didis,
    title = "{D}i{D}i{'}s Machine Translation System for {WMT}2020",
    author = "Chen, Tanfang  and
      Wang, Weiwei  and
      Wei, Wenyang  and
      Shi, Xing  and
      Li, Xiangang  and
      Ye, Jieping  and
      Knight, Kevin",
    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-1.7/",
    doi = "10.18653/v1/2020.wmt-1.7",
    pages = "105--112",
    abstract = "This paper describes the DiDi AI Labs' submission to the WMT2020 news translation shared task. We participate in the translation direction of Chinese-{\ensuremath{>}}English. In this direction, we use the Transformer as our baseline model and integrate several techniques for model enhancement, including data filtering, data selection, back-translation, fine-tuning, model ensembling, and re-ranking. As a result, our submission achieves a BLEU score of 36.6 in Chinese-{\ensuremath{>}}English."
}

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%0 Conference Proceedings
%T DiDi’s Machine Translation System for WMT2020
%A Chen, Tanfang
%A Wang, Weiwei
%A Wei, Wenyang
%A Shi, Xing
%A Li, Xiangang
%A Ye, Jieping
%A Knight, Kevin
%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 chen-etal-2020-didis
%X This paper describes the DiDi AI Labs’ submission to the WMT2020 news translation shared task. We participate in the translation direction of Chinese-\ensuremath>English. In this direction, we use the Transformer as our baseline model and integrate several techniques for model enhancement, including data filtering, data selection, back-translation, fine-tuning, model ensembling, and re-ranking. As a result, our submission achieves a BLEU score of 36.6 in Chinese-\ensuremath>English.
%R 10.18653/v1/2020.wmt-1.7
%U https://aclanthology.org/2020.wmt-1.7/
%U https://doi.org/10.18653/v1/2020.wmt-1.7
%P 105-112

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Markdown (Informal)

[DiDi’s Machine Translation System for WMT2020](https://aclanthology.org/2020.wmt-1.7/) (Chen et al., WMT 2020)

DiDi’s Machine Translation System for WMT2020 (Chen et al., WMT 2020)

ACL

Tanfang Chen, Weiwei Wang, Wenyang Wei, Xing Shi, Xiangang Li, Jieping Ye, and Kevin Knight. 2020. DiDi’s Machine Translation System for WMT2020. In Proceedings of the Fifth Conference on Machine Translation, pages 105–112, Online. Association for Computational Linguistics.