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New Technology of Library and Information Service  2001, Vol. 17 Issue (5): 40-41    DOI: 10.11925/infotech.1003-3513.2001.05.13
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Natural Language Retrieval for Latent Semantic Indexing
Tao Yuehua1   Sun Maosong2
1(Department of Computer Science, Yunnan Normal University, Kunming 650031, China)
2(Department of Computer Science and Technology; Tsinghua University, Beijing 10084, China)
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Abstract  

In information retrieval, vector space model is one of significant mathematics tools. Because of the speciality of natural language retrieval (NLR) and the affection of synonym and polysemy in tradition information retrieval model, the precision of retrieval is not high. In order to imporve the precision of NLR, the authors discuss information retrieval model based on concept--Latent Semantic Indexing (LSI), and analysis two examples of LSI.
Key words： Natural language      Information retrieval      Latent Semantic      Indexing     
Received: 30 December 2000      Published: 25 October 2001
ZTFLH: 

G354.2

 		 
Corresponding Authors: Tao Yuehua,Sun Maosong   
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Cite this article:

Tao Yuehua,Sun Maosong. Natural Language Retrieval for Latent Semantic Indexing. New Technology of Library and Information Service, 2001, 17(5): 40-41.

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http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2001.05.13     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2001/V17/I5/40


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