We describe the Sogou neural machine translation systems for the WMT 2017 Chinese↔English news translation tasks. Our systems are based on a multilayer encoder-decoder architecture with attention mechanism. The best translation is obtained with ensemble and reranking techniques. We also propose an approach to improve the named entity translation problem. Our Chinese→English system achieved the highest cased BLEU among all 20 submitted systems, and our English→Chi-nese system ranked the third out of 16 submitted systems.

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