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Volumn , Issue , 2010, Pages 460-470

NLP on spoken documents without ASR

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC SPEECH RECOGNITION; BLACK BOXES; DOCUMENT CLUSTERING; GOLD STANDARDS; LINGUISTIC RESOURCES; NATURAL LANGUAGE PROCESSING; PSEUDOTERMS; SPOKEN DOCUMENT; TEXT CLASSIFICATION;

EID: 80053245896     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (63)

References (22)
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  • 2
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    • Bagga, A.1    Baldwin, B.2
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    • Garcia, A.1    Gish, H.2
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  • 12
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    • Hazen, T.J.1    Margolis, A.2
  • 14
    • 79959851706 scopus 로고    scopus 로고
    • Towards spoken term discovery at scale with zero resources
    • Aren Jansen, Kenneth Church, and Hynek Hermansky. 2010. Towards spoken term discovery at scale with zero resources. In Interspeech.
    • (2010) Interspeech
    • Jansen, A.1    Church, K.2    Hermansky, H.3
  • 15
    • 0000636553 scopus 로고    scopus 로고
    • Text categorization with support vector machines: Learning with many relevant features
    • T. Joachims. 1998. Text categorization with support vector machines: Learning with many relevant features. In European Conference on Machine Learning (ECML).
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.