Tibetan-Chinese Bilingual Sentences Alignment Method based on Multiple Features
Lirong Qiu · International Journal of Database Theory and Application · 2015
Sentence-level aligning bilingual parallel corpus is shown significant and indispensable status in machine translation, translation knowledge acquiring and bilingual lexicography research fields, which is the fundamental work for natural language processing.Given the great deal of work in sentence alignment and a variety of methods have developed for bilingual terminology extraction, those are unpractical for newly underway Tibetan information processing because those methods have to use a large number of manufactured sentences as training corpus while extracting inter-translatable word pairs.This paper proposes a multi-strategy Tibetan-Chinese sentence alignment method based on length of sentence, syntactic rules and bilingual dictionary.We test our approach on a bilingual corpus crawled from bilingual website and perform manual evaluation on bilingual sentences pairs extracted from Tibetan-Chinese corpora.