基于语言特征与对数线性模型的纳西-英语双语词对齐

Naxi-English Bilingual Word Alignment Based on Language Characteristics and Log-Linear Model

We propose a method that can achieve the Naxi-English bilingual word automatic alignment based on a log-linear model. This method defines the different Naxi-English structural feature functions, which are English-Naxi interval switching function and Naxi-English bilingual word position transformation function. With the manually labeled Naxi-English words alignment corpus, the parameters of the model are trained by using the minimum error, thus Naxi-English bilingual word alignment is achieved automatically. Experiments are conducted with IBM Model 3 as a benchmark, and the Naxi language constraints are introduced. The final experiment results show that the proposed alignment method achieves very good results: the introduction of the language characteristic function can effectively improve the accuracy of the Naxi-English Bilingual Word Alignment.