Study of automatic semantic errors checking for Chinese text based on SKCC

摘要

This paper focuses on the semantic collocation errors of Chinese text. Based on study of the related properties of “The Semantic Knowledge-base of Modern Chinese (SKCC/SKMC)”, I put forward a method to use semantic classification for automatic error-detection. This paper mainly introduces the method of constructing semantic knowledge base, and the text automatic error-detection algorithm based on this knowledge base. The experimental results show, this method has good experimental results and application prospects.