Chinese-English Translation of Organization Names Based on a Translation Model and Web Mining

Organization name (ON) translation is the most complex among all the Named entities (NEs). A novel system for translating ONs from Chinese to English, with a translation model and web resources is proposed. Firstly, a translation model was built with Chunk and query expansion was adopted with the translation model and term-subject co-occurrence. Secondly, we extracted the Chinese Organization names with English sentences using the method of frequency shifting and adjacency information to find English fragments as translation candidates. Finally, we get the best translation by computing the trustworthiness with candidates. The experimental results show that the approach reaches a better performance than machine translation-based system.