Machine Translation has been playing an important role in modern society due to its effectiveness and efficiency, but the great demand for corpus makes it difficult for users to use traditional Machine Translation systems. To solve this problem and improve translation quality, in November 2016, Google introduces Google Neural Machine Translation system, which imple-ments the latest techniques to achieve better outcomes. The conspicuous achievement has been proved by experiments using BLEU score to measure performance of different systems. With GNMT, the gap between human and machine translation is nar-rowing.
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