Study of automatic semantic errors checking for Chinese text based on SKCC
Jun Guan, Yangsen Zhang · 2012
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.