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Volumn , Issue , 2000, Pages

Can artificial neural networks learn language models?

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS; NEURAL NETWORKS;

EID: 84988402904     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (90)

References (8)
  • 2
    • 0003396042 scopus 로고    scopus 로고
    • An empirical study of smoothing techniques for language modeling
    • Harvard University, August
    • S. Chen and J. Goodman "An empirical study of smoothing techniques for language modeling" Technical report TR-10-98, Harvard University, August 1998
    • (1998) Technical Report TR-10-98
    • Chen, S.1    Goodman, J.2
  • 3
    • 0000583248 scopus 로고
    • Probabilistic interpretation of feedforward classification network outputs, with relationships to statistical pattern recognition
    • F. Fogleman Soulie and J. Herault eds., Berlin: Springer-Verlag
    • J. S. Bridle, "Probabilistic Interpretation of Feedforward Classification Network Outputs, with Relationships to Statistical Pattern Recognition". In F. Fogleman Soulie and J. Herault (eds.), Neurocomputing: Algorithms, Architectures and Applications (1990a), Berlin: Springer-Verlag, pp. 227-236.
    • (1990) Neurocomputing: Algorithms, Architectures and Applications , pp. 227-236
    • Bridle, J.S.1
  • 6
    • 0028996876 scopus 로고    scopus 로고
    • Improved backing-off for m-gram language modeling
    • R. Kneser and H. Ney "Improved backing-off for m-gram language modeling" In Proc. of ICASSP-95, vol. 1, pp. 181-184
    • Proc. of ICASSP-95 , vol.1 , pp. 181-184
    • Kneser, R.1    Ney, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.