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• W3118449360 abstract "This paper describes NiuTrans neural machine translation systems of the WMT20 news translation tasks. We participated in Japanese English, English->Chinese, Inuktitut->English and Tamil->English total five tasks and rank first in Japanese English both sides. We mainly utilized iterative back-translation, different depth and widen model architectures, iterative knowledge distillation and iterative fine-tuning. And we find that adequately widened and deepened the model simultaneously, the performance will significantly improve. Also, iterative fine-tuning strategy we implemented is effective during adapting domain. For Inuktitut->English and Tamil->English tasks, we built multilingual models separately and employed pretraining word embedding to obtain better performance." @default.
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• W3118449360 date "2020-11-01" @default.
• W3118449360 modified "2023-09-27" @default.
• W3118449360 title "The NiuTrans Machine Translation Systems for WMT20." @default.
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