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Volumn , Issue , 2009, Pages 317-322

Self-supervised discriminative training of statistical language models

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC SPEECH RECOGNITION; DISCRIMINATIVE TRAINING; EMPIRICAL RESULTS; EXPONENTIAL FORM; LANGUAGE MODEL; LARGE VOCABULARY; LIKELIHOOD RATIOS; MAXIMUM ENTROPY; MODEL PARAMETERS; STATISTICAL LANGUAGE MODELS; TEXT CORPORA;

EID: 77949367510     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASRU.2009.5373401     Document Type: Conference Paper
Times cited : (28)

References (14)
  • 7
    • 85135271674 scopus 로고    scopus 로고
    • Finding consensus among words: Lattice-based word error minimization
    • L. Mangu, E. Brill, and A. Stolcke, "Finding consensus among words: Lattice-based word error minimization," in Proc. Eurospeech, 1999, pp. 495-498.
    • (1999) Proc. Eurospeech , pp. 495-498
    • Mangu, L.1    Brill, E.2    Stolcke, A.3
  • 8
    • 0030638031 scopus 로고    scopus 로고
    • A post-processing system to yield reduced word error rates: Recogniser output voting error reduction (ROVER)
    • Santa Barbara, CA
    • J. Fiscus, "A post-processing system to yield reduced word error rates: Recogniser output voting error reduction (ROVER)," in Proc. 1997 IEEE Workshop on Automatic Speech Recognition and Understanding, Santa Barbara, CA, 1997, pp. 347-352.
    • (1997) Proc. 1997 IEEE Workshop on Automatic Speech Recognition and Understanding , pp. 347-352
    • Fiscus, J.1
  • 9
    • 0030181951 scopus 로고    scopus 로고
    • A maximum entropy approach to adaptive statistical language modeling
    • Mar
    • R.Rosenfeld, "A maximum entropy approach to adaptive statistical language modeling," Computer Speech and Language, vol. 10, pp. 187-228, Mar. 1996.
    • (1996) Computer Speech and Language , vol.10 , pp. 187-228
    • Rosenfeld, R.1
  • 11
    • 0004014502 scopus 로고    scopus 로고
    • A Gaussian prior for smoothing maximum entropy models,
    • Tech. Rep
    • S. F. Chen and R. Rosenfeld, "A Gaussian prior for smoothing maximum entropy models," Tech. Rep., 1999.
    • (1999)
    • Chen, S.F.1    Rosenfeld, R.2
  • 12
  • 13
    • 4544358964 scopus 로고    scopus 로고
    • The SuperARV language model: Investigating the effectiveness of tightly integrating multiple knowledge sources
    • Philadelphia, Jul
    • W. Wang and M. P. Harper, "The SuperARV language model: Investigating the effectiveness of tightly integrating multiple knowledge sources," in Proc. the Conference on Empirical Methods in Natural Language Processing (EMNLP), Philadelphia, Jul. 2002, pp. 238-247.
    • (2002) Proc. the Conference on Empirical Methods in Natural Language Processing (EMNLP) , pp. 238-247
    • Wang, W.1    Harper, M.P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.