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DiDi's Machine Translation System for WMT2020

2020/10/16 by Tanfang Chen, Weiwei Wang, Chen, Tanfang +11
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #cs.AI #cs.CL

paper · pdf · doi:10.48550/arxiv.2010.08185

Accepted at WMT 2020

arxiv created 2020/10/16 · arxiv updated 2020/10/19

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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