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《Journal of Jilin University(Information Science Edition)》 2013-03
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Chinese Full-Text Retrieval System Based on Segmentation Techniques

LIU Chang1,ZHANG Meng2(1.Department of Information Engineering,Jilin Business and Technology College,Changchun 130062,China; 2.Network Center,Jilin University,Changchun 130012,China)  
In order to raise the rate of Chinese text retrieval of Chinese full-text retrieval system on the basis of the Chinese ambiguity inclusiveness and length restrictions,a kind of improved Chinese word segmentation algorithm is proposed based on the existing Chinese word segmentation algorithms.In this improved algorithm the process of indexing establishment makes a mapping from related words to the thesaurus.Through the improvement to the thesaurus,a better mapping is realized.Experiments show that the improved algorithm is a more efficient Chinese text retrieval segmentation algorithm.
【Fund】: 吉林省教育厅科技发展规划基金资助项目(2012373)
【CateGory Index】: TP391.1
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