DocumentCode :
547341
Title :
An efficient similarity measure algorithm of Chinese sentence
Author :
Ning, Changying ; Wang, Rongbo ; Chen, Zhiqun ; Lu, Bei
Author_Institution :
Inst. of Comput. Applic. Technol., Hangzhou Dianzi Univ., Hangzhou, China
Volume :
3
fYear :
2011
fDate :
10-12 June 2011
Firstpage :
387
Lastpage :
390
Abstract :
Chinese sentence similarity measures are widely used in the field of Chinese information processing. Considering practical application environment of Chat Robot and its response speed requirements, this paper presents an efficient similarity measure for Chinese sentence. In this method, a weight is assigned to the length of matched sequence strings. The longer the length of matched sequence strings, the greater the weight assigned to length, which means more similar the two compared sentences. The experimental results indicate that, compared to that of Baidu-knows, the proposed method is more reasonable and more feasible.
Keywords :
natural language processing; string matching; Baidu-knows; Chinese information processing; Chinese sentence similarity measures; chat robot; matched sequence strings; response speed requirements; similarity measure algorithm; Filtering; Noise; Real time systems; Road transportation; Robots; Semantics; Sparse matrices; Baidu-knows; Chinese information processing; chat robot; sentence similarity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-8727-1
Type :
conf
DOI :
10.1109/CSAE.2011.5952703
Filename :
5952703
Link To Document :
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