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The NiuTrans Machine Translation Systems for WMT21

2021/09/22 by Shuhan Zhou, Zhou, Shuhan, Tao Zhou +33
Computer Science · #Natural Language Processing Techniques #Topic Modeling #Multimodal Machine Learning Applications

paper · pdf · doi:10.48550/arxiv.2109.10485

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↔\Chinese, Japanese, Russian, Icelandic\ and English→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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