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Volumn , Issue , 2010, Pages 12-15

Text editor based on Google trigram and its usability

Author keywords

Component; N Gram; Performance evaluation; Text editor; Word recommendation

Indexed keywords

COMPONENT; N-GRAM; PERFORMANCE EVALUATION; TEXT EDITOR; WORD RECOMMENDATION;

EID: 79952120557     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMS.2010.105     Document Type: Conference Paper
Times cited : (6)

References (15)
  • 1
    • 33646760990 scopus 로고    scopus 로고
    • Evaluating WordNet-based Measures of lexical semantic relatedness
    • A. Budanitsky and G. Hirst, "Evaluating WordNet-based Measures of lexical semantic relatedness," Computational Linguistics, Vol. 32, Issue 1, pp. 13-47, 2006.
    • (2006) Computational Linguistics , vol.32 , Issue.1 , pp. 13-47
    • Budanitsky, A.1    Hirst, G.2
  • 5
    • 0032654494 scopus 로고    scopus 로고
    • A mazimum entropy language model integrating N-grams and topic dependencies for conversational speech recognition
    • S. Khudanpur and J. Wu, "A Mazimum Entropy Language Model Integrating N-Grams and Topic Dependencies for Conversational Speech Recognition," In Proceedings of ICASSP'99, pp.553-556, 1999.
    • (1999) Proceedings of ICASSP'99 , pp. 553-556
    • Khudanpur, S.1    Wu, J.2
  • 9
    • 0000800741 scopus 로고
    • A tutorial on hidden markov models and selected applications in speech recognition
    • L. R. Rabiner, "A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition", Readings in speech recognition, pp. 267-296, 1990.
    • (1990) Readings in Speech Recognition , pp. 267-296
    • Rabiner, L.R.1
  • 14
    • 33750713654 scopus 로고    scopus 로고
    • Discriminative n-gram language modeling
    • April
    • B. Roarka, M. Saraclarb, and M. Collinsc, "Discriminative n-gram language modeling," Computer Speech & Language, Vol. 21 (2), April 2007, pp. 373-392
    • (2007) Computer Speech & Language , vol.21 , Issue.2 , pp. 373-392
    • Roarka, B.1    Saraclarb, M.2    Collinsc, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.