Research on content-based Chinese word retrieval

被引：0
|
作者：
Lin, C [1 ]
Li, L [1 ]
机构：
[1] Sun Yat Sen Univ, Software Inst, Guangzhou 510275, Peoples R China
来源：
2002 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-4, PROCEEDINGS | 2002年
关键词：
content-based word retrieval; vector space model; feature extraction; neural network;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Chinese words are a combination of speech sound, outline and meaning. Our research on content-based Chinese word retrieval helps users to get their desired results by using words that are just similar to normal queries in speech sound, outline or meaning. It is based on the vector space model. We suggest methods to extract features and use neural network to create the word indexing. The experimental results indicate the feature extraction methods are not only effective but also efficient.
引用
收藏
页码：1144 / 1147
页数：4
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