关键词: 统计机器翻译, 神经网络, RNN编码器-解码器, 长短时记忆, 维吾尔语

Abstract: In this paper, the RNN encoder-decoder is used as part of the traditional phrase-based PSMT system. On the basis of traditional statistical machine translation, the integrated RNN encoder-decoder, compatible with PSMT（Phrase based Statistical Machine Translation） has created a new Uyghur-Chinese neural machine translation model. The new model not only has achieved good results in the application of Uyghur-Chinese and Chinese-English machine translation, but also can capture the rule of language, which makes the BLEU value of an important evaluation indicator greatly improved in Machine Translation. Experimental results show that the overall performance of the system exceeds the traditional statistical machine translation.

Key words: statistical machine translation, neural network, RNN encoder-decoder, long short-term memory, Uyghur