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Volumn , Issue , 2003, Pages 425-428

Language model adaptation using word clustering

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; SPEECH COMMUNICATION; SPEECH RECOGNITION; STOCHASTIC SYSTEMS;

EID: 85009170694     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (2)

References (8)
  • 4
    • 0001993550 scopus 로고
    • Principles of lexical language modeling for speech recognition
    • chapter 21,. Dekker
    • Fredelick Jelinek, Robert L. Mercer, and Salim Roukos. Principles of lexical language modeling for speech recognition. In Advances in Speech Signal Processing, chapter 21, pages 651-699. Dekker, 1991.
    • (1991) Advances in Speech Signal Processing , pp. 651-699
    • Jelinek, F.1    Mercer, R.L.2    Roukos, S.3
  • 6
    • 0027929445 scopus 로고
    • Onstructuring probabilistic dependences in stochastic language modeling
    • Hermann Ney, Ute Essen, and Reinhard Kneser. Onstructuring probabilistic dependences in stochastic language modeling. Computer Speech and Language, 8:1-38, 1994.
    • (1994) Computer Speech and Language , vol.8 , pp. 1-38
    • Ney, H.1    Essen, U.2    Kneser, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.