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A Relevance Feedback based Query Translation Enhancement Technique in Cross Language Information Retrieval

Wu, Dan and He, Daqing and Wang, Huilin (2012) A Relevance Feedback based Query Translation Enhancement Technique in Cross Language Information Retrieval. Journal of the China Society for Scientific and Technical Information, 31 (4). 398 - 406. ISSN 1000-0135

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Abstract

This paper proposes a new cross language relevance feedback technique called query translation enhancement (TE), and studies four algorithms for “estimating query terms’ translation probabilities based on obtained relevant document pair set”, which is an important step in query translation enhancement. We conduct a series of pseudo relevance feedback experiments to compare the four algorithms and validate the effectiveness of query translation enhancement. Experiment results show that all four algorithms can raise the effectiveness of retrieval results, but the algorithm based on word alignment technique has clear superiority. In addition, we find that query length and retrieval topics can greatly affect various query translation enhancement approaches.


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Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Wu, Dan
He, Daqingdah44@pitt.eduDAH44
Wang, Huilin
Date: 2012
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: Journal of the China Society for Scientific and Technical Information
Volume: 31
Number: 4
Page Range: 398 - 406
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Library and Information Science
Refereed: Yes
ISSN: 1000-0135
Related URLs:
Article Type: Research Article
Additional Information: Article is in Chinese
Date Deposited: 22 Jun 2012 14:27
Last Modified: 01 Nov 2017 14:01
URI: http://d-scholarship.pitt.edu/id/eprint/12451

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