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Volumn , Issue , 2010, Pages 1053-1056

Learning a language model from continuous speech

Author keywords

Bayesian learning; Language acquisition; Pitman Yor language model; Word segmentation

Indexed keywords

COMPUTATIONAL LINGUISTICS; SPEECH COMMUNICATION;

EID: 79959859627     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (29)

References (15)
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  • 2
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  • 3
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    • Bayesian unsupervised word segmentation with nested pitman-yor modeling
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  • 4
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    • Statistical learning by eight-month-old infants
    • J. R. Saffran, R. N. Aslin, and E. L. Newport, "Statistical learning by eight-month-old infants," Science, vol. 274, no. 5294, pp. 1926-1928, 1996.
    • (1996) Science , vol.274 , Issue.5294 , pp. 1926-1928
    • Saffran, J.R.1    Aslin, R.N.2    Newport, E.L.3
  • 6
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    • A Bayesian framework for word segmentation: Exploring the effects of context
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    • (2009) Cognition , vol.112 , Issue.1 , pp. 21-54
    • Goldwater, S.1    Griffiths, T.L.2    Johnson, M.3
  • 7
    • 38049151407 scopus 로고    scopus 로고
    • A hierarchical Bayesian language model based on pitman-yor processes
    • Y. W. Teh, "A hierarchical Bayesian language model based on Pitman-Yor processes," in Proc. ACL06, 2006, pp. 985-992.
    • (2006) Proc. ACL06 , pp. 985-992
    • Teh, Y.W.1
  • 9
    • 84867191811 scopus 로고    scopus 로고
    • Improving the multigram algorithm by using lattices as input
    • J. Driesen and H. V. Hamme, "Improving the Multigram Algorithm by using Lattices as Input," in Proc. InterSpeech2008, 2008.
    • (2008) Proc. InterSpeech 2008
    • Driesen, J.1    Hamme, H.V.2
  • 11
    • 79959835549 scopus 로고    scopus 로고
    • A computational model for unsu-pervised word discovery
    • L. ten Bosch and B. Cranen, "A computational model for unsu-pervised word discovery," in Proc. InterSpeech2007, 2007, pp. 1481-1484.
    • (2007) Proc. InterSpeech 2007 , pp. 1481-1484
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  • 12
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    • Finite-state transducers in language and speech processing
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    • Mohri, M.1
  • 14
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    • A post-processing system to yield reduced word error rates: Recognizer output voting error reduction (ROVER)
    • J. Fiscus, "A post-processing system to yield reduced word error rates: Recognizer output voting error reduction (ROVER)," in Proc. ASRU97, 1997.
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  • 15
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    • Word-based partial annotation for efficient corpus construction
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.