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). © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
White, R. W., Oard, D. W., Jones, G. J. F., Soergel, D., & Huang, X. (2006). Overview of the CLEF-2005 cross-language speech retrieval track. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4022 LNCS, pp. 744–759). Springer Verlag. https://doi.org/10.1007/11878773_82
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