The NiuTrans Machine Translation Systems for WMT21
Shuhan Zhou, Tao Zhou, Binghao Wei, Yingfeng Luo, Yongyu Mu, Zefan Zhou, Chenglong Wang, Xuanjun Zhou, Chuanhao Lv, Yi Jing, Laohu Wang, Jingnan Zhang, Canan Huang, Zhongxiang Yan, Chi Hu, Bei Li, Tong Xiao, Jingbo Zhu
Abstract
This paper describes NiuTrans neural machine translation systems of the WMT 2021 news translation tasks. We made submissions to 9 language directions, including English2Chinese, Japanese, Russian, Icelandic and English2Hausa tasks. Our primary systems are built on several effective variants of Transformer, e.g., Transformer-DLCL, ODE-Transformer. We also utilize back-translation, knowledge distillation, post-ensemble, and iterative fine-tuning techniques to enhance the model performance further.- Anthology ID:
- 2021.wmt-1.26
- 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:
- 265–272
- Language:
- URL:
- https://aclanthology.org/2021.wmt-1.26
- DOI:
- Bibkey:
- Cite (ACL):
- Shuhan Zhou, Tao Zhou, Binghao Wei, Yingfeng Luo, Yongyu Mu, Zefan Zhou, Chenglong Wang, Xuanjun Zhou, Chuanhao Lv, Yi Jing, Laohu Wang, Jingnan Zhang, Canan Huang, Zhongxiang Yan, Chi Hu, Bei Li, Tong Xiao, and Jingbo Zhu. 2021. The NiuTrans Machine Translation Systems for WMT21. In Proceedings of the Sixth Conference on Machine Translation, pages 265–272, Online. Association for Computational Linguistics.
- Cite (Informal):
- The NiuTrans Machine Translation Systems for WMT21 (Zhou et al., WMT 2021)
- Copy Citation:
- PDF:
- https://aclanthology.org/2021.wmt-1.26.pdf
Export citation
@inproceedings{zhou-etal-2021-niutrans,
title = "The {N}iu{T}rans Machine Translation Systems for {WMT}21",
author = "Zhou, Shuhan and
Zhou, Tao and
Wei, Binghao and
Luo, Yingfeng and
Mu, Yongyu and
Zhou, Zefan and
Wang, Chenglong and
Zhou, Xuanjun and
Lv, Chuanhao and
Jing, Yi and
Wang, Laohu and
Zhang, Jingnan and
Huang, Canan and
Yan, Zhongxiang and
Hu, Chi and
Li, Bei and
Xiao, Tong and
Zhu, Jingbo",
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-1.26",
pages = "265--272",
abstract = "This paper describes NiuTrans neural machine translation systems of the WMT 2021 news translation tasks. We made submissions to 9 language directions, including English2Chinese, Japanese, Russian, Icelandic and English2Hausa tasks. Our primary systems are built on several effective variants of Transformer, e.g., Transformer-DLCL, ODE-Transformer. We also utilize back-translation, knowledge distillation, post-ensemble, and iterative fine-tuning techniques to enhance the model performance further.",
}
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%0 Conference Proceedings %T The NiuTrans Machine Translation Systems for WMT21 %A Zhou, Shuhan %A Zhou, Tao %A Wei, Binghao %A Luo, Yingfeng %A Mu, Yongyu %A Zhou, Zefan %A Wang, Chenglong %A Zhou, Xuanjun %A Lv, Chuanhao %A Jing, Yi %A Wang, Laohu %A Zhang, Jingnan %A Huang, Canan %A Yan, Zhongxiang %A Hu, Chi %A Li, Bei %A Xiao, Tong %A Zhu, Jingbo %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 zhou-etal-2021-niutrans %X This paper describes NiuTrans neural machine translation systems of the WMT 2021 news translation tasks. We made submissions to 9 language directions, including English2Chinese, Japanese, Russian, Icelandic and English2Hausa tasks. Our primary systems are built on several effective variants of Transformer, e.g., Transformer-DLCL, ODE-Transformer. We also utilize back-translation, knowledge distillation, post-ensemble, and iterative fine-tuning techniques to enhance the model performance further. %U https://aclanthology.org/2021.wmt-1.26 %P 265-272
Markdown (Informal)
[The NiuTrans Machine Translation Systems for WMT21](https://aclanthology.org/2021.wmt-1.26) (Zhou et al., WMT 2021)
- The NiuTrans Machine Translation Systems for WMT21 (Zhou et al., WMT 2021)
ACL
- Shuhan Zhou, Tao Zhou, Binghao Wei, Yingfeng Luo, Yongyu Mu, Zefan Zhou, Chenglong Wang, Xuanjun Zhou, Chuanhao Lv, Yi Jing, Laohu Wang, Jingnan Zhang, Canan Huang, Zhongxiang Yan, Chi Hu, Bei Li, Tong Xiao, and Jingbo Zhu. 2021. The NiuTrans Machine Translation Systems for WMT21. In Proceedings of the Sixth Conference on Machine Translation, pages 265–272, Online. Association for Computational Linguistics.