DocumentCode
387522
Title
Research on content-based Chinese word retrieval
Author
Lin, Chen ; Li, Lei
Author_Institution
Software Inst., Sun Yat-Sen Univ., Guangzhou, China
Volume
3
fYear
2002
fDate
2002
Firstpage
1144
Abstract
Chinese words are a combination of speech sound, outline and meaning. Our research on content-based Chinese word retrieval can help users to retrieve their desired results by using words that are 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 a neural network to create the word indexing. The experimental results indicate the feature extraction methods are not only effective but also efficient.
Keywords
content-based retrieval; database indexing; feature extraction; search engines; self-organising feature maps; Chinese words retrieval; content-based word retrieval; feature extraction; neural network; queries; search engines; self-organizing map; vector space model; word indexing; Content based retrieval; Data mining; Feature extraction; Indexing; Natural languages; Neural networks; Search engines; Spatial databases; Speech; Sun;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN
0-7803-7508-4
Type
conf
DOI
10.1109/ICMLC.2002.1167379
Filename
1167379
Link To Document