[PDF][PDF] Sogou neural machine translation systems for WMT17
Proceedings of the Second Conference on Machine Translation, 2017•aclanthology.org
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→ Chinese system ranked the third out of 16 submitted …
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→ Chinese system ranked the third out of 16 submitted …
Abstract
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→ Chinese system ranked the third out of 16 submitted systems. 1
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