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2 Mar 2000: The 1997 system used N-gram language models trained on 132 million words of broadcast news texts, the LDC-distributed 1995 newswire texts, and the transcriptions from BNtrain97 (LMtrain97). ... The word N-grams were trained by interpolating (and merging)

1 Mar 2000: The system uses a language model trained on 132 million words of broadcast news texts, the LDC-distributed 1995 newswire texts, and the transcriptions from BNtrain96. ... using the broadcast news training texts, the acoustic training data and 1995

15 Feb 2005: Recent Developments at Cambridgein Broadcast News Transcription. D.Y. Kim, H.Y. Chan, G. ... Presentation Overview. • RT03 Broadcast News System Review• Training & Test Data• Improved Acoustic Model Building. –

1 Mar 2000: Experiments in Broadcast News Transcription. P.C. Woodland, T. Hain, S.E. Johnson, T. ... Cross-word context dependent decision tree state clustered mixture Gaussian HMMs are used with a 65k word vocabulary and a language model trained on 132 million

16 Feb 2008: 744.1.3 WFST Computations. 77. 4.2 Source Language Texts, Bitexts, and Phrase-Pair Inventories. ... tion of texts from one natural language (such as French) to another (e.g.

8 Mar 2000: The1997 system used N-gram language models trained on 132million words of broadcast news texts, the LDC-distributed1995 newswire texts, and the transcriptions from BNtrain97(LMtrain97). ... 5.1. Language Models. The word N-grams were trained by

27 May 2004: A word-based 4-gram language model was trained on the acous-tic transcriptions, additional Broadcast News data (427M words oftext) plus 62M words of “conversational texts” collected from theWorld Wide ... Niesler, A.Tuerk, E.W.D. Whittaker and S.J.

27 May 2004: IMPROVING BROADCAST NEWS TRANSCRIPTION BY LIGHTLY SUPERVISEDDISCRIMINATIVE TRAINING. H.Y. Chan & P.C. ... These include the TDT2,TDT3 and TDT4 closed captions, broadcast news acoustic train-ing data transcriptions, commercial broadcast news transcripts

10 Apr 2000: Cross-word context dependent deci-sion tree state clustered mixture Gaussian HMMs are used with a65k word vocabulary and a language model trained on 132 millionwords of broadcast news texts, along ... Young S.J. (1997) TheDevelopment of the 1996

8 Mar 2000: 132 million words of broadcast news texts, the LDC-distributed 1995 newswire texts, and the transcriptions of the acoustic training data. ... Furthermore new language models were estimated from an extended set of broadcast news transcripts and newspaper