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Volumn , Issue , 1993, Pages 973-976

IMPROVED CLUSTERING TECHNIQUES FOR CLASS-BASED STATISTICAL LANGUAGE MODELLING

Author keywords

Leaving One Out Method; Statistical Clustering; Stochastic Language Modelling

Indexed keywords

CLASSIFICATION (OF INFORMATION); EQUIVALENCE CLASSES; ITERATIVE METHODS; MAXIMUM LIKELIHOOD; MODELING LANGUAGES; NATURAL LANGUAGE PROCESSING SYSTEMS; SPEECH COMMUNICATION; STOCHASTIC SYSTEMS;

EID: 85123963268     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (139)

References (6)
  • 3
    • 0026405256 scopus 로고
    • On smoothing techniques for bigram-based natural language modelling
    • May
    • H. Ney, U. Essen: "On smoothing techniques for bigram-based natural language modelling", Proc. ICASSP, Vol. 2, pp. 825-828, May 1991.
    • (1991) Proc. ICASSP , vol.2 , pp. 825-828
    • Ney, H.1    Essen, U.2
  • 4
    • 0001882615 scopus 로고
    • Self-organized language modeling for speech recognition
    • A. Waibel, K.-F. Lee (eds): Morgan Kaufman Publishers
    • F. Jelinek: "Self-organized language modeling for speech recognition", pp. 450-506, in A. Waibel, K.-F. Lee (eds.): Readings in Speech Recognition, Morgan Kaufman Publishers, 1991.
    • (1991) Readings in Speech Recognition , pp. 450-506
    • Jelinek, F.1
  • 6
    • 0008545195 scopus 로고
    • Estimating 'small' probabilities by leaving-one-out
    • Sept
    • H. Ney, U. Essen: "Estimating 'small' probabilities by leaving-one-out", Proc. Eurospeech, Sept. 1993.
    • (1993) Proc. Eurospeech
    • Ney, H.1    Essen, U.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.