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The NiuTrans Machine Translation Systems for WMT21

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arxiv 2109.10485 v1 pith:FGLQ6SC3 submitted 2021-09-22 cs.CL

Shuhan Zhou , Tao Zhou , Binghao Wei , Yingfeng Luo , Yongyu Mu , Zefan Zhou , Chenglong Wang , Xuanjun Zhou
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Chuanhao Lv Yi Jing Laohu Wang Jingnan Zhang Canan Huang Zhongxiang Yan Chi Hu Bei Li Tong Xiao Jingbo Zhu
This is my paper · ORCID
classification cs.CL
keywords systemstranslationenglishmachineniutranstasksback-translationbuilt
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

This paper describes NiuTrans neural machine translation systems of the WMT 2021 news translation tasks. We made submissions to 9 language directions, including English$\leftrightarrow$$\{$Chinese, Japanese, Russian, Icelandic$\}$ and English$\rightarrow$Hausa 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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