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Volumn 37, Issue 3, 2004, Pages 583-594

Language identification in web documents using discrete HMMs

Author keywords

Discrete hidden Markov models (DHMMs); Language tracking; Statistical language identification; Tourism domain; Web documents

Indexed keywords

COMPUTER PROGRAMMING LANGUAGES; HYPERTEXT SYSTEMS; MARKOV PROCESSES; WORLD WIDE WEB;

EID: 0348108142     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2003.05.001     Document Type: Article
Times cited : (35)

References (18)
  • 9
    • 0003984557 scopus 로고
    • Technical Report CRL MCCS-94-273, New Mexico State University, Las Cruces, NM
    • T. Dunning, Statistical identification of language, Technical Report CRL MCCS-94-273, New Mexico State University, Las Cruces, NM, 1994.
    • (1994) Statistical Identification of Language
    • Dunning, T.1
  • 16
    • 0025623688 scopus 로고
    • Maximum mutual information estimation of HMM parameters for continuous speech recognition using the N-best algorithm
    • Istanbul, Turkey
    • Y.-L. Chow, Maximum mutual information estimation of HMM parameters for continuous speech recognition using the N-best algorithm, in: Proceedings of IEEE International Conference on Acoustics, Speech, Signal Processing (ICASSP'90), Istanbul, Turkey, Vol. 2, 1990, pp. 701-704.
    • (1990) Proceedings of IEEE International Conference on Acoustics, Speech, Signal Processing (ICASSP'90) , vol.2 , pp. 701-704
    • Chow, Y.-L.1
  • 18
    • 0011187879 scopus 로고    scopus 로고
    • Multiple classifier combination: Lessons and next steps
    • A. Kandel, H. Bunke (Eds.), World Scientific, Singapore
    • T. Ho, G. Nagy, Multiple classifier combination: Lessons and next steps, in: A. Kandel, H. Bunke (Eds.), Hybrid Methods in Pattern Recognition, World Scientific, Singapore, 2002.
    • (2002) Hybrid Methods in Pattern Recognition
    • Ho, T.1    Nagy, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.