How to choose training set for language modeling

6th International Conference on Spoken Language Processing, ICSLP 2000

Volumn , Issue , 2000, Pages

  Zhang, Hong ^a   Xu, Bo ^a   Huang, Taiyi ^a  

^a INSTITUTE OF AUTOMATION   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; CONTINUOUS SPEECH RECOGNITION; SPEECH RECOGNITION;

EVALUATION MEASURES; HITTING RATE; LANGUAGE MODEL; LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION; SIZE REDUCTIONS; TRAINING SETS; TRI GRAMS; TRIGRAM MODEL;

MODELING LANGUAGES;

EID: 85009067221     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. Clarkson, P. (1999) "Adaptation of Statistical Language Models for Automatic Speech Recognition. " Ph. D. Thesis, University of Cambridge.
2. Jelinek, F. (1998). "Statistical Methods for Speech recognition", The MIT Press, 1998.
3. Katz, S. M, "Estimation of Probabilities from Sparse Data for the Language Model Component of a Speech Recognizer." IEEE Transactions on Acoustics, Speech and Signal Processing, 35(3):400-401, 1987.
4. Chen, S. and Goodman, J. "An Empirical Study of Smoothing Techniques for Language Modeling". Computer Speech and Language, 13:359-394, 1999.