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Volumn , Issue , 2011, Pages 1433-1436

On the estimation of discount parameters for language model smoothing

Author keywords

Absolute discounting; Kneser Ney method; Language model pruning; Language model smoothing

Indexed keywords

ABSOLUTE DISCOUNTING; BASELINE METHODS; KNESER-NEY METHOD; LANGUAGE MODEL; LOG LIKELIHOOD; PARAMETER ESTIMATE; PROBABILITY ESTIMATE; PRUNING ALGORITHMS; SMOOTHING ALGORITHMS; STATISTICAL LANGUAGE MODELING; TRAINING DATA; WORD ERROR RATE;

EID: 84865773873     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (25)

References (17)
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  • 4
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  • 5
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    • Ney, H., Martin, S., and Wessel, F., "Statistical Language Modeling Using Leaving-One-Out", in Young, S., and Bloothooft, G., "Corpus-Based Methods in Language And Speech Processing", Kluwer Acad. Publ. 1997
    • (1997) Corpus-Based Methods in Language and Speech Processing
    • Ney, H.1    Martin, S.2    Wessel, F.3
  • 7
    • 84891308106 scopus 로고    scopus 로고
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  • 8
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  • 11
    • 0037238922 scopus 로고    scopus 로고
    • Empirical evaluation of the improved Rprop learning algorithm
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  • 13
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    • From empirical Bayes to Leavingone-out
    • accepted for publication
    • Andrés-Ferrer, J., Ney., H., "From empirical Bayes to Leavingone-out", Proc. of IWSM 2011, accepted for publication
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  • 14
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    • Extensions of absolute discounting (Kneser-Ney method)
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  • 15
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    • Entropy-based pruning of backoff language models
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  • 16
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    • Study on interaction between entropy pruning and kneser-ney smoothing
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.