A Mongolian-English Word Alignment Approach Based on Discriminative Model
Zhang Guan · 2012
Word alignment is an essential issue in the field of natural language processing. A discriminative word alignment method is proposed using the linear CRF model for Mongolian-English language pair. According to the differences between Mongolian and English languages,morphological,lexical and part- of-speech features can be incorporated into the CRF model,and a dual-layer CRF word alignment model is constructed. In the first layer,the chunks that are split from the sentence are aligned. Then in the second layer,the words of chunks are aligned using CRF word alignment model. The experimental results on Mongolian-English task demonstrate that the proposed method improves the performance of word alignment.