Skip to main navigation Skip to search Skip to main content

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

  • Ryen W. White
  • , Douglas W. Oard
  • , Gareth J.F. Jones
  • , Dagobert Soergel
  • , Xiaoli Huang
  • University of Maryland, College Park
  • Dublin City University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

17 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 meta-data, 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 0.13) and cross-language searching yielded results typical of those seen in other applications (with the best systems approximating monolingual mean average precision).

Original languageEnglish
Title of host publicationAccessing Multilingual Information Repositories - 6th Workshop of the Cross-Language Evalution Forum, CLEF 2005
PublisherSpringer Verlag
Pages744-759
Number of pages16
ISBN (Print)354045697X, 9783540456971
DOIs
StatePublished - 2006
EventAccessing Multilingual Information Repositories - 6th Workshop of the Cross-Language Evalution Forum, CLEF 2005 - Vienna, Austria
Duration: Sep 21 2005 → Sep 23 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4022 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceAccessing Multilingual Information Repositories - 6th Workshop of the Cross-Language Evalution Forum, CLEF 2005
Country/TerritoryAustria
CityVienna
Period09/21/05 → 09/23/05

Fingerprint

Dive into the research topics of 'Overview of the CLEF-2005 cross-language speech retrieval track'. Together they form a unique fingerprint.

Cite this