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Citation

Ircing, P. and Müller, L. : Benefit of Proper Language Processing for Czech Speech Retrieval in the CL-SR Task at CLEF 2006 . Lecture Notes in Computer Science, 4730, p. 759-765, 2007.

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Abstract

The paper describes the system built by the team from the University of West Bohemia for participation in the CLEF 2006 CL-SR track. We have decided to concentrate only on the monolingual searching in the Czech test collection and investigate the effect of proper language processing on the retrieval performance. We have employed the Czech morphological analyser and tagger for that purposes. For the actual search system, we have used the classical tf.idf approach with blind relevance feedback as implemented in the Lemur toolkit. The results indicate that a suitable linguistic preprocessing is indeed crucial for the Czech IR performance.

Detail of publication

Title: Benefit of Proper Language Processing for Czech Speech Retrieval in the CL-SR Task at CLEF 2006
Author: Ircing, P. ; Müller, L.
Language: English
Date of publication: 1 Jan 2007
Year: 2007
Type of publication: Papers in journals
Title of journal or book: Lecture Notes in Computer Science
Series: 4730
Page: 759 - 765
ISBN: 0302-9743
/ 2011-06-06 15:32:53 /

Keywords

Spoken Document Retrieval, Natural Language Processing, Morphological Analysis

BibTeX

@ARTICLE{IrcingP_2007_BenefitofProper,
 author = {Ircing, P. and M\"{u}ller, L.},
 title = {Benefit of Proper Language Processing for Czech Speech Retrieval in the CL-SR Task at CLEF 2006},
 year = {2007},
 journal = {Lecture Notes in Computer Science},
 pages = {759-765},
 series = {4730},
 ISBN = {0302-9743},
 url = {http://www.kky.zcu.cz/en/publications/IrcingP_2007_BenefitofProper},
}