Baidu Neural Machine Translation Systems for WMT19
In this paper we introduce the systems Baidu submitted for the WMT19 shared task on Chinese{\textless}-{\textgreater}English news translation. Our systems are based on the Transformer architecture with some effective improvements. Data selection, back translation, data augmentation, knowledge distillation, domain adaptation, model ensemble and re-ranking are employed and proven effective in our experiments. Our Chinese-{\textgreater}English system achieved the highest case-sensitive BLEU score among all constrained submissions, and our English-{\textgreater}Chinese system ranked the second in all submissions.
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Datasets
WMT 2018
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