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Volumn , Issue , 2010, Pages 1045-1048

Recurrent neural network based language model

Author keywords

Language modeling; Recurrent neural networks; Speech recognition

Indexed keywords

COMPUTATIONAL LINGUISTICS; MODELING LANGUAGES; SPEECH COMMUNICATION; SPEECH RECOGNITION;

EID: 79959829092     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5109)

References (14)
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    • Mahoney, M.1
  • 2
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    • A bit of progress in language modeling, extended version
    • Goodman Joshua T. (2001). A bit of progress in language modeling, extended version. Technical report MSR-TR-2001-72.
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    • Goodman, J.T.1
  • 4
    • 34547973194 scopus 로고    scopus 로고
    • Training neural network language models on very large corpora
    • October
    • Holger Schwenk and Jean-Luc Gauvain. Training Neural Network Language Models On Very Large Corpora. in Proc. Joint Conference HLT/EMNLP, October 2005.
    • (2005) Proc. Joint Conference HLT/EMNLP
    • Schwenk, H.1    Gauvain, J.-L.2
  • 5
    • 33745718966 scopus 로고    scopus 로고
    • A guide to recurrent neural networks and backpropagation
    • Mikael Bodén. A Guide to Recurrent Neural Networks and Backpropagation. In the Dallas project, 2002.
    • (2002) The Dallas Project
    • Bodén, M.1
  • 6
  • 7
    • 26444565569 scopus 로고    scopus 로고
    • Finding structure in time
    • Jeffrey L. Elman. Finding Structure in Time. Cognitive Science, 14, 179-211
    • Cognitive Science , vol.14 , pp. 179-211
    • Elman, J.L.1
  • 8
    • 77949367510 scopus 로고    scopus 로고
    • Self-supervised discriminative training of statistical language models
    • Puyang Xu and Damianos Karakos and Sanjeev Khudanpur. Self-Supervised Discriminative Training of Statistical Language Models. ASRU 2009.
    • ASRU 2009
    • Xu, P.1    Karakos, D.2    Khudanpur, S.3
  • 9
    • 79959853437 scopus 로고    scopus 로고
    • A joint language model with fine-grain syntactic tags
    • Denis Filimonov and Mary Harper. 2009. A joint language model with fine-grain syntactic tags. In EMNLP.
    • (2009) EMNLP
    • Filimonov, D.1    Harper, M.2
  • 10
    • 79959814455 scopus 로고    scopus 로고
    • Adaptive importance sampling to accelerate training of a neural probabilistic language model
    • Bengio, Y. and Senecal, J.-S. Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model. IEEE Transactions on Neural Networks.
    • IEEE Transactions on Neural Networks
    • Bengio, Y.1    Senecal, J.-S.2
  • 11
    • 34547997987 scopus 로고    scopus 로고
    • Hierarchical probabilistic neural network language model
    • Morin, F. and Bengio, Y. Hierarchical Probabilistic Neural Network Language Model. AISTATS'2005.
    • AISTATS'2005
    • Morin, F.1    Bengio, Y.2
  • 14
    • 22344432438 scopus 로고    scopus 로고
    • Fast text compression with neural networks
    • Mahoney, M. 2000. Fast Text Compression with Neural Networks. In Proc. FLAIRS.
    • (2000) Proc. FLAIRS
    • Mahoney, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.