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Volumn 2, Issue , 2012, Pages 1670-1673

Large scale hierarchical neural network language models

Author keywords

Neural network language models

Indexed keywords

BROADCAST NEWS; HIERARCHICAL NEURAL NETWORKS; N-GRAM LANGUAGE MODELS; PARALLELIZING; TRAINING DATA; TRAINING TIME; VOCABULARY SIZE; WORD ERROR RATE;

EID: 84878422162     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (24)

References (17)
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  • 3
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    • Training neural network language models on very large corpora
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    • H. Schwenk and J.-L. Gauvain, "Training neural network language models on very large corpora, " in Proc. HLT EMNLP 2005, Vancouver, British Columbia, Canada, 2005, pp. 201-208.
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    • Schwenk, H.1    Gauvain, J.-L.2
  • 6
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    • Jul
    • H. Schwenk, "Continuous space language models, " Comput. Speech Lang., vol. 21, no. 3, pp. 492-518, Jul. 2007.
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    • Schwenk, H.1
  • 7
    • 85055309630 scopus 로고    scopus 로고
    • Ph.D. dissertation, Johns Hopkins University, Baltimore, MD, USA
    • A. Emami, "A neural syntactic language model, " Ph.D. dissertation, Johns Hopkins University, Baltimore, MD, USA, 2006.
    • (2006) A Neural Syntactic Language Model
    • Emami, A.1
  • 8
    • 34547997987 scopus 로고    scopus 로고
    • Hierarchical probabilistic neural network language model
    • F. Morin and Y. Bengio, "Hierarchical probabilistic neural network language model, " in Proc. AISTATS, 2005, pp. 246-252.
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    • Morin, F.1    Bengio, Y.2
  • 9
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    • A scalable hierarchical distributed language model
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    • Mnih, A.1    Hinton, G.2
  • 10
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    • Structured output layer neural network language model
    • Prague, Czech Republic
    • H. Son Le, I. Oparin, A. Allauzen, J.-L. Gauvain, and F. Yvon, "Structured output layer neural network language model, " in Proc. ICASSP 2011, Prague, Czech Republic, 2011, pp. 5524-5527.
    • (2011) Proc. ICASSP 2011 , pp. 5524-5527
    • Le, H.S.1    Oparin, I.2    Allauzen, A.3    Gauvain, J.-L.4    Yvon, F.5
  • 11
    • 84858966958 scopus 로고    scopus 로고
    • Strategies for training large scale neural network language models
    • Hawaii, HI, USA
    • T. Mikolov, A. Deoras, D. Povey, L. Burget, and J. Cernocky, "Strategies for training large scale neural network language models, " in Proc. ASRU 2011, Hawaii, HI, USA, 2011, pp. 196-201.
    • (2011) Proc. ASRU 2011 , pp. 196-201
    • Mikolov, T.1    Deoras, A.2    Povey, D.3    Burget, L.4    Cernocky, J.5
  • 13
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    • Shrinking exponential language models
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  • 15
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    • Empirical study of neural network language models for Arabic speech recognition
    • Kyoto, Japan, Dec
    • A. Emami and L. Mangu, "Empirical study of neural network language models for Arabic speech recognition, " in Proc. ASRU 2007, Kyoto, Japan, Dec. 2007, pp. 147-152.
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  • 17
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    • Performance analysis of neural networks in combination with n-gram language models
    • Kyoto, JP
    • I. Oparin, M. Sundermeyer, H. Ney, and J.-L. Gauvain, "Performance analysis of neural networks in combination with n-gram language models, " in Proc. ICASSP 2012, Kyoto, JP, 2012.
    • (2012) Proc. ICASSP 2012
    • Oparin, I.1    Sundermeyer, M.2    Ney, H.3    Gauvain, J.-L.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.