基于句法调序的汉维统计机器翻译

在汉语到维语的统计机器翻译中，2种语言在形态学及语序上差异较大，导致未知词较多，且产生的维语译文语序混乱。针对上述问题，在对汉语和维语的语序进行研究的基础上，提出一种汉语句法调序方法，进而对维语进行形态学分析，采用基于因素的统计机器翻译系统进行验证。实验结果证明，该方法在性能上较基线系统有显著改进，BLEU评分由15.72提高到19.17。

Chinese-Uyghur Statistical Machine Translation Based on Syntactical Reordering

Chinese and Uyghur are very different in terms of morphological typology and word order, which leads to many unknown words and confusion word order in Uyghur when translate from Chinese to Uyghur using statistical method. On the basis of the word order of Chinese and Uyghur, a Chinese syntactic reordering method is proposed, and an analysis on Uyghur morphological information is made to resolve the difficulties. Experimental results on the factor-based SMT show that the approach achieves a substantial improvement in translation quality over the baseline phrase-based system, and the BLEU score is improved from 15.72 to 19.17.