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Volumn 13, Issue 1, 2006, Pages 57-80

Language identification from small text samples

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Indexed keywords


EID: 43249161841     PISSN: 09296174     EISSN: 17445035     Source Type: Journal    
DOI: 10.1080/09296170500500694     Document Type: Article
Times cited : (43)

References (24)
  • 1
    • 65849528081 scopus 로고    scopus 로고
    • A language identification application built on the Java client-server platform
    • J. Burstein & C. Leacock Eds, Somerset, New Jersey: Association for Computational Linguistics
    • Adams, G., & Resnik, Ph. (1997). A language identification application built on the Java client-server platform. In J. Burstein & C. Leacock (Eds), From Research to Commercial Applications: Making {NLP} Work in Practice (pp. 43-47). Somerset, New Jersey: Association for Computational Linguistics.
    • (1997) From Research to Commercial Applications: Making {NLP} Work in Practice , pp. 43-47
    • Adams, G.1    Resnik, P.2
  • 6
    • 65849448592 scopus 로고
    • Automatic language identification: Resisting complexity
    • Combrinck, H., & Botha, E. (1995). Automatic language identification: Resisting complexity. South African Computer Journal, 27, 18-26.
    • (1995) South African Computer Journal , vol.27 , pp. 18-26
    • Combrinck, H.1    Botha, E.2
  • 8
    • 0003984557 scopus 로고
    • Statistical identification of language
    • Technical Report, CRL MCCS-94-273, New Mexico State University
    • Dunning, T. (1994). Statistical identification of language. Technical Report, CRL MCCS-94-273, New Mexico State University.
    • (1994)
    • Dunning, T.1
  • 10
    • 84861638616 scopus 로고
    • Categorization according to language: A step toward combining linguistic knowledge and statistical learning
    • Prague, Karlovy Vary, Czech Republic, September
    • Giguet, E. (1995b). Categorization according to language: A step toward combining linguistic knowledge and statistical learning. In 4th International Workshop of Parsing Technologies, Prague, Karlovy Vary, Czech Republic, September, 20-24.
    • (1995) 4th International Workshop of Parsing Technologies , pp. 20-24
    • Giguet, E.1
  • 16
    • 65849350178 scopus 로고    scopus 로고
    • Language Identification from Small Text Samples
    • Technical Report, LERC/UoH/2003/1, Department of Computer and Information Sciences, University of Hyderabad, India
    • Murthy, K. N., & Kumar, G. B. (2003). Language Identification from Small Text Samples. Technical Report, LERC/UoH/2003/1, Department of Computer and Information Sciences, University of Hyderabad, India.
    • (2003)
    • Murthy, K.N.1    Kumar, G.B.2
  • 18
    • 65849364761 scopus 로고    scopus 로고
    • Issues of document engineering in the Indian context
    • Technical Report, LERC/UoH/2004/1. Department of Computer and Information Sciences, University of Hyderabad, India
    • Negi, A., & Murthy, K. N. (2004). Issues of document engineering in the Indian context. Technical Report, LERC/UoH/2004/1. Department of Computer and Information Sciences, University of Hyderabad, India.
    • (2004)
    • Negi, A.1    Murthy, K.N.2
  • 19
    • 65849405881 scopus 로고    scopus 로고
    • Statistical language identification for NLP-supported full text retrieval
    • Technical Report, CLUE-TR-3
    • Piotrowski, M. (1997). Statistical language identification for NLP-supported full text retrieval. Technical Report, CLUE-TR-3.
    • (1997)
    • Piotrowski, M.1
  • 20
    • 0033277432 scopus 로고    scopus 로고
    • Linguini: Language identification for multilingual documents
    • Prager, J. M. (1999). Linguini: Language identification for multilingual documents. Journal of Management Information Systems, 16(3), 71-101.
    • (1999) Journal of Management Information Systems , vol.16 , Issue.3 , pp. 71-101
    • Prager, J.M.1
  • 24
    • 0348108142 scopus 로고    scopus 로고
    • Language identification in web documents using discrete hidden Markov models
    • Xafopoulos, A., Kotropoulos, C., Almpanidis, G., & Pitas, I. (2004). Language identification in web documents using discrete hidden Markov models. Pattern Recognition, 37(3), 583-594.
    • (2004) Pattern Recognition , vol.37 , Issue.3 , pp. 583-594
    • Xafopoulos, A.1    Kotropoulos, C.2    Almpanidis, G.3    Pitas, I.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.