IIE’s Neural Machine Translation Systems for WMT20

Xiangpeng Wei; Ping Guo; Yunpeng Li; Xingsheng Zhang; Luxi Xing; Yue Hu (胡月)

doi:10.18653/v1/2020.wmt-1.32

IIE’s Neural Machine Translation Systems for WMT20

Xiangpeng Wei, Ping Guo, Yunpeng Li, Xingsheng Zhang, Luxi Xing, Yue Hu

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Abstract

In this paper we introduce the systems IIE submitted for the WMT20 shared task on German-French news translation. Our systems are based on the Transformer architecture with some effective improvements. Multiscale collaborative deep architecture, data selection, back translation, knowledge distillation, domain adaptation, model ensemble and re-ranking are employed and proven effective in our experiments. Our German-to-French system achieved 35.0 BLEU and ranked the second among all anonymous submissions, and our French-to-German system achieved 36.6 BLEU and ranked the fourth in all anonymous submissions.

Anthology ID:: 2020.wmt-1.32
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:: 300–304
Language:
URL:: https://aclanthology.org/2020.wmt-1.32/
DOI:: 10.18653/v1/2020.wmt-1.32
Bibkey:
Cite (ACL):: Xiangpeng Wei, Ping Guo, Yunpeng Li, Xingsheng Zhang, Luxi Xing, and Yue Hu. 2020. IIE’s Neural Machine Translation Systems for WMT20. In Proceedings of the Fifth Conference on Machine Translation, pages 300–304, Online. Association for Computational Linguistics.
Cite (Informal):: IIE’s Neural Machine Translation Systems for WMT20 (Wei et al., WMT 2020)
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PDF:: https://aclanthology.org/2020.wmt-1.32.pdf
Video:: https://slideslive.com/38939579

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@inproceedings{wei-etal-2020-iies,
    title = "{IIE}{'}s Neural Machine Translation Systems for {WMT}20",
    author = "Wei, Xiangpeng  and
      Guo, Ping  and
      Li, Yunpeng  and
      Zhang, Xingsheng  and
      Xing, Luxi  and
      Hu, Yue",
    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-1.32/",
    doi = "10.18653/v1/2020.wmt-1.32",
    pages = "300--304",
    abstract = "In this paper we introduce the systems IIE submitted for the WMT20 shared task on German-French news translation. Our systems are based on the Transformer architecture with some effective improvements. Multiscale collaborative deep architecture, data selection, back translation, knowledge distillation, domain adaptation, model ensemble and re-ranking are employed and proven effective in our experiments. Our German-to-French system achieved 35.0 BLEU and ranked the second among all anonymous submissions, and our French-to-German system achieved 36.6 BLEU and ranked the fourth in all anonymous submissions."
}

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%0 Conference Proceedings
%T IIE’s Neural Machine Translation Systems for WMT20
%A Wei, Xiangpeng
%A Guo, Ping
%A Li, Yunpeng
%A Zhang, Xingsheng
%A Xing, Luxi
%A Hu, Yue
%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 wei-etal-2020-iies
%X In this paper we introduce the systems IIE submitted for the WMT20 shared task on German-French news translation. Our systems are based on the Transformer architecture with some effective improvements. Multiscale collaborative deep architecture, data selection, back translation, knowledge distillation, domain adaptation, model ensemble and re-ranking are employed and proven effective in our experiments. Our German-to-French system achieved 35.0 BLEU and ranked the second among all anonymous submissions, and our French-to-German system achieved 36.6 BLEU and ranked the fourth in all anonymous submissions.
%R 10.18653/v1/2020.wmt-1.32
%U https://aclanthology.org/2020.wmt-1.32/
%U https://doi.org/10.18653/v1/2020.wmt-1.32
%P 300-304

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Markdown (Informal)

[IIE’s Neural Machine Translation Systems for WMT20](https://aclanthology.org/2020.wmt-1.32/) (Wei et al., WMT 2020)

IIE’s Neural Machine Translation Systems for WMT20 (Wei et al., WMT 2020)

ACL

Xiangpeng Wei, Ping Guo, Yunpeng Li, Xingsheng Zhang, Luxi Xing, and Yue Hu. 2020. IIE’s Neural Machine Translation Systems for WMT20. In Proceedings of the Fifth Conference on Machine Translation, pages 300–304, Online. Association for Computational Linguistics.