Class-based language model adaptation using mixtures of word-class weights

6th International Conference on Spoken Language Processing, ICSLP 2000

Volumn , Issue , 2000, Pages

  Moore, Gareth ^a   Young, Steve ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

MIXTURES; SPEECH RECOGNITION;

CLASS PROBABILITIES; CLASS-BASED; CLASS-BASED LANGUAGE MODEL; N-GRAM LANGUAGE MODELS; N-GRAMS; TOPIC ADAPTATION; WORD N-GRAMS;

COMPUTATIONAL LINGUISTICS;

EID: 84962878404     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. R. Kneser and H. Ney, "Improved clustering techniques for class-based statistical language modelling"; Proc. Eurospeech 1993, pp. 973-976
2. R. Iyer and M. Ostendorf, "Modelling Long Distance Dependence in Language: Topic Mixtures vs. Dynamic Cache Models"; Proc. ICSLP 1996, Volume 1 pp. 236-239
3. R. Kneser and V. Steinbiss, "On the Dynamic Adaptation of Stochastic Language Models"; Proc. ICASSP 1993, pp. 586-589
4. S. Sekine, "Automatic Sublanguage Identification for a New Text"; Second Annual Workshop on Very Large Corpora, Kyoto
5. P. C. Woodland, T. Hain, S. E. Johnson, T. R. Niesler, A. Tuerk, E. W. D. Whittaker and S. J. Young, "The 1997 HTK Broadcast News Transcription System"; DARPA Broadcast News 1998 Transcription and Understanding Workshop