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DiDi's Machine Translation System for WMT2020
- Publication Year :
- 2020
-
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.<br />Comment: Accepted at WMT 2020
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.2010.08185
- Document Type :
- Working Paper