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Class-based language model adaptation using mixtures of word-class…
mi.eng.cam.ac.uk/reports/full_html/moore_icslp00.html/2 Nov 2000: A mixture of broadcast news and newswire text was used as training data for the topic model, with 144 million words of Broadcast News text and 25 million words of Los ... A word 4-gram language model was built using the Broadcast News and LATWP corpus -
The Cambridge University Multimedia Document Retrieval Demo System
mi.eng.cam.ac.uk/reports/full_html/tuerk_sigir00demo.html/14 Aug 2000: This system gives a word error rate of 15.9% on the 1998 Hub4 broadcast news evaluation data. ... J. J. Odell, P. C. Woodland, and T. Hain. The CUHTK-Entropic 10xRT Broadcast News Transcription System. -
The Cambridge University Multimedia Document Retrieval Demo System
mi.eng.cam.ac.uk/reports/full_html/tuerk_riao00demo.html/14 Aug 2000: The system gives a word error rate of 15.9% on the 1998 Hub4 broadcast news evaluation data. ... Odell, J. J., Woodland, P. C., and Hain, T. (1999). The CUHTK-Entropic 10xRT Broadcast News Transcription System. -
Class-based language model adaptation using mixtures ofword-class…
mi.eng.cam.ac.uk/reports/svr-ftp/moore_icslp00.pdf2 Nov 2000: 2 Finding the TopicsA mixture of broadcast news and newswire text was usedas training data for the topic model, with 144 million wordsof Broadcast News text and 25 million words of ... 3 Building a Language ModelA word 4-gram language model was built -
Spoken Document Retrieval for TREC-8 at Cambridge University
mi.eng.cam.ac.uk/reports/full_html/johnson_trec8.html/30 Mar 2000: Three fixed backoff word-based language models were trained, from broadcast news text, newspaper texts and acoustic transcriptions, which were all generated using data from before 31st January 1998. ... The first model was built using 190 million words -
Audio Indexing and Retrieval of Complete Broadcast News Shows
mi.eng.cam.ac.uk/reports/full_html/johnson_riao00.html/19 Apr 2000: Initially work done in Spoken Document Retrieval (SDR) focused on the automatic transcription of American broadcast news audio into manually pre-defined stories'', which were then run through a text-based ... 1999). Segmentation of Automatically -
The 1998 HTK Broadcast News Transcription System: Development and…
mi.eng.cam.ac.uk/reports/full_html/woodland_darpa99.html/2 Mar 2000: interpolated word level language models to combine text sources; increased broadcast news language model training data; and an extra adaptation stage using a full-variance transform. ... Proc. 1998 DARPA Broadcast News Transcription and Understanding -
SPOKEN DOCUMENT RETRIEVAL FOR TREC-8 AT CAMBRIDGE UNIVERSITY S.E. ...
mi.eng.cam.ac.uk/reports/svr-ftp/johnson_trec8.pdf10 Apr 2000: Three fixed backoff word-based language models were trained,from broadcast news text, newspaper texts and acoustic tran-scriptions, which were all generated using data from before 31stJanuary 1998. ... The first model was built using 190 million wordsof -
The 1998 HTK Broadcast News Transcription System:Development and…
mi.eng.cam.ac.uk/reports/svr-ftp/woodland_darpa99.pdf8 Mar 2000: The 1998 HTK Broadcast News Transcription System:Development and Results. P.C. Woodland, T. ... word level language models to combine text sources;increased broadcast news language model training data; and an ex-tra adaptation stage using a full-variance -
GENERAL QUERY EXPANSION TECHNIQUESFOR SPOKEN DOCUMENT RETRIEVAL…
mi.eng.cam.ac.uk/reports/svr-ftp/jourlin_esca99.pdf10 Apr 2000: different sets ofautomatically transcribed broadcast news texts with aWER varying from24.8% to 66.2%. ... The input data is presented to the system as com-plete episodes of broadcast news shows and these are.
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