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dc.contributor.authorAbberley, Dave
dc.contributor.authorRenals, Steve
dc.contributor.authorEllis, Dan
dc.contributor.authorRobinson, Tony
dc.coverage.spatial8en
dc.date.accessioned2006-05-11T13:09:18Z
dc.date.available2006-05-11T13:09:18Z
dc.date.issued2000
dc.identifier.citationNIST Special Publication 500-246: The Eighth Text REtrieval Conference (TREC 8), held in Gaithersburg, Maryland, November 17-19, 1999. pp.699-en
dc.identifier.otherstock number SN003-003-03664-1
dc.identifier.urihttp://trec.nist.gov/pubs/trec8/papers/shef-proc-trec8.pdf
dc.identifier.urihttp://hdl.handle.net/1842/980
dc.description.abstractThis paper describes the participation of the THISL group at the TREC-8 Spoken Document Retrieval (SDR) track. The THISL SDR system consists of the realtime version of the ABBOT large vocabulary speech recognition system and the THISLIR text retrieval system. The TREC-8 evaluation assessed SDR performance on a corpus of 500 hours of broadcast news material collected over a five month period. The main test condition involved retrieval of stories defined by manual segmentation of the corpus in which non-news material, such as commercials, were excluded. An optional test condition required required retrieval of the same stories from the unsegmented audio stream. The THISL SDR system participated at both test conditions. The results show that a system such as THISL can produce respectable information retrieval performance on a realistically-sized corpus of unsegmented audio material.en
dc.format.extent65022 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherDepartment of Commerce, National Institute of Standards and Technologyen
dc.titleThe THISL SDR system at TREC-8en
dc.typeConference Paperen


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