The Multilevel Algorithm of Chinese Sentence Similarity
Xiao Qin Zeng · Applied Mechanics and Materials · 2014
This paper puts forward a multilevel algorithm of Chinese sentence similarity on the basic of predecessors' research. The algorithm considers disordered similarity and ordered similarity: disordered similarity is obtained by computing the ratio of synonyms after Chinese segmentation; ordered similarity is got by calculating the corresponding similarity of component location words. Meanwhile, the sentence pattern conversion is also considered, and if it be a Chinese question, sentence mood parameter need to be used to modify the result. Finally the algorithm rationality is verified by contrast experiment.