Overview of the CLEF-2005 cross-language speech retrieval track

Ryen W. White; Douglas W. Oard; Gareth J.F. Jones; Dagobert Soergel; Xiaoli Huang

Overview of the CLEF-2005 cross-language speech retrieval track

Ryen W. White
, Douglas W. Oard
, Gareth J.F. Jones
, Dagobert Soergel
, Xiaoli Huang

Information Science

Fraunhofer Institute for Experimental Software Engineering
University of Maryland, College Park
Dublin City University

Research output: Contribution to journal › Conference article › peer-review

8 Scopus citations

Abstract

The task for the CLEF-2005 cross-language speech retrieval track was to identify topically coherent segments of English interviews in a known-boundary condition. Seven teams participated, performing both monolingual and cross-language searches of ASR transcripts, automatically generated metadata, and manually generated metadata. Results indicate that monolingual search technology is sufficiently accurate to be useful for some purposes (the best mean average precision was 0.18) and cross-language searching yielded results typical of those seen in other applications (with the best systems approximating monolingual mean average precision).

Original language	English
Journal	CEUR Workshop Proceedings
Volume	1171
State	Published - 2005
Event	2005 Cross Language Evaluation Forum Workshop, CLEF 2005, co-located with the 9th European Conference on Digital Libraries, ECDL 2005 - Wien, Austria Duration: Sep 21 2005 → Sep 22 2005

Cite this

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title = "Overview of the CLEF-2005 cross-language speech retrieval track",

abstract = "The task for the CLEF-2005 cross-language speech retrieval track was to identify topically coherent segments of English interviews in a known-boundary condition. Seven teams participated, performing both monolingual and cross-language searches of ASR transcripts, automatically generated metadata, and manually generated metadata. Results indicate that monolingual search technology is sufficiently accurate to be useful for some purposes (the best mean average precision was 0.18) and cross-language searching yielded results typical of those seen in other applications (with the best systems approximating monolingual mean average precision).",

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journal = "CEUR Workshop Proceedings",

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AU - White, Ryen W.

AU - Oard, Douglas W.

AU - Jones, Gareth J.F.

AU - Soergel, Dagobert

AU - Huang, Xiaoli

PY - 2005

Y1 - 2005

N2 - The task for the CLEF-2005 cross-language speech retrieval track was to identify topically coherent segments of English interviews in a known-boundary condition. Seven teams participated, performing both monolingual and cross-language searches of ASR transcripts, automatically generated metadata, and manually generated metadata. Results indicate that monolingual search technology is sufficiently accurate to be useful for some purposes (the best mean average precision was 0.18) and cross-language searching yielded results typical of those seen in other applications (with the best systems approximating monolingual mean average precision).

AB - The task for the CLEF-2005 cross-language speech retrieval track was to identify topically coherent segments of English interviews in a known-boundary condition. Seven teams participated, performing both monolingual and cross-language searches of ASR transcripts, automatically generated metadata, and manually generated metadata. Results indicate that monolingual search technology is sufficiently accurate to be useful for some purposes (the best mean average precision was 0.18) and cross-language searching yielded results typical of those seen in other applications (with the best systems approximating monolingual mean average precision).

UR - https://www.scopus.com/pages/publications/84922032060

M3 - Conference article

AN - SCOPUS:84922032060

SN - 1613-0073

VL - 1171

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 2005 Cross Language Evaluation Forum Workshop, CLEF 2005, co-located with the 9th European Conference on Digital Libraries, ECDL 2005

Y2 - 21 September 2005 through 22 September 2005

ER -

Overview of the CLEF-2005 cross-language speech retrieval track

Abstract

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