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DiDi's Machine Translation System for WMT2020

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arxiv 2010.08185 v1 pith:27VIVDMD submitted 2020-10-16 cs.CL cs.AI

Tanfang Chen , Weiwei Wang , Wenyang Wei , Xing Shi , Xiangang Li , Jieping Ye , Kevin Knight This is my paper
classification cs.CLcs.AI
keywords modeltranslationchinese-datadididirectionenglishsubmission
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

This paper describes DiDi AI Labs' submission to the WMT2020 news translation shared task. We participate in the translation direction of Chinese->English. In this direction, we use the Transformer as our baseline model, and integrate several techniques for model enhancement, including data filtering, data selection, back-translation, fine-tuning, model ensembling, and re-ranking. As a result, our submission achieves a BLEU score of $36.6$ in Chinese->English.

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