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.