Journal of Jilin University(Information Science Ed

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Chinese Full-Text Retrieval System Based on Segmentation Techniques

LIU Chang1, ZHANG Meng2   

  1. 1. Department of Information Engineering, Jilin Business and Technology College, Changchun 130062, China;2. Network Center, Jilin University, Changchun 130012, China
  • Received:2013-02-25 Online:2013-05-27 Published:2013-06-07

Abstract:

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.

Key words: Chinese full-text retrieval, Chinese segmentation, character-based indexing

CLC Number: 

  • TP311