Aligning Sentences in Chinese-English Corpora with Extended Length-based Approach
Hideki Kashioka · Zhongwen xinxi xuebao · 2005
In this paper, we present a new approach to ali gn Chine se-English sentences in the parallel texts. This approach is mainly based on st atistical approach, here is length-based alignment approach, and simultaneously considers lexical information from the bilingual lexicon. Punctuation-based a pproach is the post-processing for alignment. This extended approach not only a voids complicated Chinese processing further, such as segmentation and part-of -speech tagging, but also uses some Chinesein the statistical approa ch to improve accuracy of sentence alignment. The bilingual corpus in this paper is LDC parallel texts in Hong Kong newspaper. Then dynamic programming algorith m is used to accomplish the alignment processing. Compared with length-based a pproach and lexical approach, our approach improves the alignment accuracy and t he experiment result is desirable.