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