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New Technology of Library and Information Service  2013, Vol. 29 Issue (9): 35-40    DOI: 10.11925/infotech.1003-3513.2013.09.06
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Identifying Synonyms Based on Sentence Structure Analysis
Yu Juan1, Yin Jidong2, Fei Shu3
1. School of Public Administration and Policy, Fuzhou University, Fuzhou 350108, China;
2. Jiangxi Institute of Standardization, Nanchang 330029, China;
3. Library of Dalian Vocational & Technical College, Dalian 116035, China
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Abstract  A new method of identifying synonyms is proposed for the purpose of reducing the deviation when calculating the semantic similarity between two different terms or phrases. The method first analyzes sentence structures of the concerned terms (or phrases), and then calculates the semantic similarity between two terms (or phrases) based on Tongyici Cilin (a Chinese thesaurus). This method weights each word in the concerned terms (or phrases) equally to reduce identifying errors made by gravity-centre-backward methods. Experiments show that the proposed method of identifying synonyms is accurate and has good potentials for text mining and semantic retrieval applications.
Key wordsIdentifying synonyms      Sentence structure analysis      Text mining     
Received: 08 May 2013      Published: 27 September 2013
:  TP182  

Cite this article:

Yu Juan, Yin Jidong, Fei Shu. Identifying Synonyms Based on Sentence Structure Analysis. New Technology of Library and Information Service, 2013, 29(9): 35-40.

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