WNCT:a Method for Automatic Translation of WordNet Concepts into Chinese
Shi Wang, Cungen Cao · Zhongwen xinxi xuebao · 2009
WordNet is an important English lexical semantic knowledge base.This paper presents a method for the automatic translation of the synsets in the WordNet into Chinese,named as WNCT.Firstly,WNCT uses dictionaries and term translation tools to translate the senses of English words in the WordNet into Chinese.Then WNCT regards the selection for correct sense of the words in a synset as a classification issue.The classification model is then trained by 12 features extracted according to the uniqueness of translation,the translation intersections within and between the concepts,the construction rules for Chinese phrase as well as PMI based translation relevance.Experimental results show that WNCT achieve 85.21%coverage rate and 81.37%accuracy for the Chinese translation of the synsets in WordNet 3.0.