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Volumn 2009, Issue , 2009, Pages

Automatic query generation and query relevance measurement for unsupervised language model adaptation of speech recognition

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EID: 77649264779     PISSN: 16874714     EISSN: 16874722     Source Type: Journal    
DOI: 10.1155/2009/140575     Document Type: Article
Times cited : (3)

References (32)
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    • Iyer, R.1    Ostendorf, M.2
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    • 0030181951 scopus 로고    scopus 로고
    • A maximum entropy approach to adaptive statistical language modelling
    • Rosenfeld R., A maximum entropy approach to adaptive statistical language modelling Computer Speech and Language 1996 10 3 187 226
    • (1996) Computer Speech and Language , vol.10 , Issue.3 , pp. 187-226
    • Rosenfeld, R.1
  • 7
    • 0034818212 scopus 로고    scopus 로고
    • Unsupervised learning by probabilistic latent semantic analysis
    • Hofmann T., Unsupervised learning by probabilistic latent semantic analysis Machine Learning 2001 42 1-2 177 196
    • (2001) Machine Learning , vol.42 , Issue.1-2 , pp. 177-196
    • Hofmann, T.1
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    • 34247374399 scopus 로고    scopus 로고
    • Language model adaptation for fixed phrases by amplifying partial N-gram sequences
    • Akiba T., Itou K., Fuji A., Language model adaptation for fixed phrases by amplifying partial N-gram sequences Systems and Computers in Japan 2007 38 4 63 73
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    • Akiba, T.1    Itou, K.2    Fuji, A.3
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    • Document categorization and query generation on the World Wide Web using WebACE
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.