Chuanhao Lv
2021
The NiuTrans Machine Translation Systems for WMT21
Shuhan Zhou
|
Tao Zhou
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Binghao Wei
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Yingfeng Luo
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Yongyu Mu
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Zefan Zhou
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Chenglong Wang
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Xuanjun Zhou
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Chuanhao Lv
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Yi Jing
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Laohu Wang
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Jingnan Zhang
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Canan Huang
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Zhongxiang Yan
|
Chi Hu
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Bei Li
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Tong Xiao
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Jingbo Zhu
Proceedings of the Sixth Conference on Machine Translation
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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Co-authors
- Shuhan Zhou 1
- Tao Zhou 1
- Binghao Wei 1
- Yingfeng Luo 1
- Yongyu Mu 1
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Venues
- WMT1