DiDi's Machine Translation System for WMT2020

• URL: http://arxiv.org/abs/2010.08185v1
• Date: Fri, 16 Oct 2020 06:25:48 GMT
• Title: DiDi's Machine Translation System for WMT2020
• Authors: Tanfang Chen, Weiwei Wang, Wenyang Wei, Xing Shi, Xiangang Li, Jieping Ye, Kevin Knight
• Abstract summary: We participate in the translation direction of Chinese->English. In this direction, we use the Transformer as our baseline model. As a result, our submission achieves a BLEU score of $36.6$ in Chinese->English.
• Score: 51.296629834996246
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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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