Key points are not available for this paper at this time.
We describe the Sogou neural machine translation systems for the WMT 2017 ChineseEnglish 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 Chi-neseEnglish system achieved the highest cased BLEU among all 20 submitted systems, and our EnglishChinese system ranked the third out of 16 submitted systems. 1
Wang et al. (Sun,) studied this question.