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Tencent AI Lab Machine Translation Systems for the WMT20 Biomedical Translation Task

2020-11-01WMT (EMNLP) 2020Code Available1· sign in to hype

Xing Wang, Zhaopeng Tu, Longyue Wang, Shuming Shi

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Abstract

This paper describes the Tencent AI Lab submission of the WMT2020 shared task on biomedical translation in four language directions: German<->English, English<->German, Chinese<->English and English<->Chinese. We implement our system with model ensemble technique on different transformer architectures (Deep, Hybrid, Big, Large Transformers). To enlarge the in-domain bilingual corpus, we use back-translation of monolingual in-domain data in the target language as additional in-domain training data. Our systems in German->English and English->German are ranked 1st and 3rd respectively according to the official evaluation results in terms of BLEU scores.

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