N-GRAM LANGUAGE MODEL ADAPTATION USING SMALL CORPUS FOR SPOKEN DIALOG RECOGNITION

5th European Conference on Speech Communication and Technology, EUROSPEECH 1997

Volumn , Issue , 1997, Pages 2735-2738

  Ito, Akinori ^a   Saitoh, Hideyuki ^a   Katoh, Masaharu ^a   Kohda, Masaki ^a  

^a YAMAGATA UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; SPEECH RECOGNITION;

ADAPTATION TECHNIQUES; LANGUAGE MODEL ADAPTATION; LARGE CORPORA; N-GRAM LANGUAGE MODELS; N-GRAM MODELS; N-GRAMS; PROBABILITY ESTIMATION; SPECIFIC TASKS; SPOKEN DIALOGUE RECOGNITION; TASK ADAPTATION;

SPEECH COMMUNICATION;

EID: 44949220766     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. A. I. Rudnicky: " Language modeling with limited domain data", Proc. ARPA Spoken Language Systems Technology Workshop, pp.66-69 (1995-1)
2. M. Federico: "Bayesian Estimation Methods for N-gram Language Model Adaptation", Proc. ICSLP-96, pp.240-243 (1996)
3. P. Placeway et al.:"The estimation of powerful language models from small and large corpora", Proc. ICASSP-93, vol. II, pp.33-36 (1993)
4. J. Ueberla: "Analyzing a simple language model - some general conclusion for language models for speech recognition", Computer Speech and Language, vol.8, no.2,pp.l53-176 (1994-4)