@inproceedings{a32d36a266b8434386370412d750ab07,
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 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).",
author = "White, \{Ryen W.\} and Oard, \{Douglas W.\} and Jones, \{Gareth J.F.\} and Dagobert Soergel and Xiaoli Huang",
year = "2006",
doi = "10.1007/11878773\_82",
language = "English",
isbn = "354045697X",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "744--759",
booktitle = "Accessing Multilingual Information Repositories - 6th Workshop of the Cross-Language Evalution Forum, CLEF 2005",
address = "Germany",
note = "Accessing Multilingual Information Repositories - 6th Workshop of the Cross-Language Evalution Forum, CLEF 2005 ; Conference date: 21-09-2005 Through 23-09-2005",
}