A Context Based Word Similarity Computing Method
Xiaona Ren · Zhongwen xinxi xuebao · 2010
Word similarity computation is one of the key issues in natural language processing fields,such as machine translation,information retrieval etc.As traditional methods ignore the context information of the word,they can not effectively distinguish the differences among the word similarities when the context information changes.This paper presents an approach for word similarity computation based on the context information,which employs the fuzzy membership functions to compute the fuzzy significance of the words and combines a method of word similarity calculation using HowNet.The experimental results indicate that our approach distinguish the semantic similar words effectively by the context information.