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Fuzzy Conceptual Indexing for Concept-Based Cross-Lingual Text Retrieval
September/October 2004 (vol. 8 no. 5)
pp. 14-21
ASCII Text
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Rowena Chau, Chung-Hsing Yeh, "Fuzzy Conceptual Indexing for Concept-Based Cross-Lingual Text Retrieval," IEEE Internet Computing, vol. 8, no. 5, pp. 14-21, September/October, 2004.
 
 
BibTex
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@article{ 10.1109/MIC.2004.38,
author = {Rowena Chau and Chung-Hsing Yeh},
title = {Fuzzy Conceptual Indexing for Concept-Based Cross-Lingual Text Retrieval},
journal ={IEEE Internet Computing},
volume = {8},
number = {5},
issn = {1089-7801},
year = {2004},
pages = {14-21},
doi = {http://doi.ieeecomputersociety.org/10.1109/MIC.2004.38},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Internet Computing
TI - Fuzzy Conceptual Indexing for Concept-Based Cross-Lingual Text Retrieval
IS - 5
SN - 1089-7801
SP14
EP21
EPD - 14-21
A1 - Rowena Chau,
A1 - Chung-Hsing Yeh,
PY - 2004
KW - cross-lingual text retrieval
KW - fuzzy clustering
KW - indexing
VL - 8
JA - IEEE Internet Computing
ER -
 
Rowena Chau, Monash University
Chung-Hsing Yeh, Monash University
Cross-lingual text retrieval (CLTR) is a technique for locating relevant documents in different languages. The authors have developed fuzzy conceptual indexing (FCI) to extend CLTR to include documents that share concepts but don't contain exact translations of query terms. In FCI, documents and queries are represented as a function of language-independent concepts, thus enabling direct mapping between them across multiple languages. Experimental results suggest that concept-based CLTR outperforms translation-based CLTR in identifying conceptually relevant documents.
Index Terms:
cross-lingual text retrieval, fuzzy clustering, indexing
Citation:
Rowena Chau, Chung-Hsing Yeh, "Fuzzy Conceptual Indexing for Concept-Based Cross-Lingual Text Retrieval," IEEE Internet Computing, vol. 8, no. 5, pp. 14-21, Sep./Oct. 2004, doi:10.1109/MIC.2004.38
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