Measurement of word similarity based on Corpus
基于Corpus库的词语相似度计算方法

A semantic relevant database named Corpus was built to store the required information in word similarity t. Corpus got the information from large scale text training and store the information in word space and relation space after analysis and tailoring. The word similarity measurement algorithm by constructing the context relation vectors based on Corpus was given, which proved to be a feasible method by experiments.