Continuous space language models
暂无分享,去创建一个
[1] Holger Schwenk,et al. Continuous Space Language Models for Statistical Machine Translation , 2006, ACL.
[2] Olivier Galibert,et al. THE LIMSI 2006 TC-STAR TRANSCRIPTION SYSTEMS ⁄ , 2006 .
[3] Jean-Luc Gauvain,et al. Training Neural Network Language Models on Very Large Corpora , 2005, HLT.
[4] Ahmad Emami,et al. Random clusterings for language modeling , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..
[5] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[6] Jean-Luc Gauvain,et al. Transcribing lectures and seminars , 2005, INTERSPEECH.
[7] Peng Xu,et al. Using random forest language models in the IBM RT-04 CTS system , 2005, INTERSPEECH.
[8] Jean-Luc Gauvain,et al. Building continuous space language models for transcribing european languages , 2005, INTERSPEECH.
[9] Yoshua Bengio,et al. Hierarchical Probabilistic Neural Network Language Model , 2005, AISTATS.
[10] Guillaume Gravier,et al. The ESTER phase II evaluation campaign for the rich transcription of French broadcast news , 2005, INTERSPEECH.
[11] H. Schwenk,et al. Efficient training of large neural networks for language modeling , 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).
[12] Andreas Stolcke,et al. The use of a linguistically motivated language model in conversational speech recognition , 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[13] Jean-Luc Gauvain,et al. The 2004 20xRT BBN/LIMSI English Conversational Telephone Speech System , 2004 .
[14] Holger Schwenk,et al. USING NEURAL NETWORK LANGUAGE MODELS FOR LVCSR , 2004 .
[15] John Makhoul,et al. THE 2004 BBN/LIMSI 10xRT ENGLISH BROADCAST NEWS TRANSCRIPTION SYSTEM , 2004 .
[16] Jean-Luc Gauvain,et al. Neural network language models for conversational speech recognition , 2004, INTERSPEECH.
[17] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[18] María José Castro Bleda,et al. New Directions in Connectionist Language Modeling , 2003, IWANN.
[19] Andreas Stolcke,et al. Getting More Mileage from Web Text Sources for Conversational Speech Language Modeling using Class-Dependent Mixtures , 2003, NAACL.
[20] Ahmad Emami,et al. Using a connectionist model in a syntactical based language model , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..
[21] Jean-Luc Gauvain,et al. Conversational telephone speech recognition , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..
[22] Holger Schwenk,et al. USING CONTINUOUS SPACE LANGUAGE MODELS FOR CONVERSATIONAL SPEECH RECOGNITION , 2003 .
[23] Blockin Blockin,et al. Quick Training of Probabilistic Neural Nets by Importance Sampling , 2003 .
[24] Andreas Stolcke,et al. SRILM - an extensible language modeling toolkit , 2002, INTERSPEECH.
[25] Chin-Hui Lee,et al. Discriminative training of language models for speech recognition , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[26] Jean-Luc Gauvain,et al. Connectionist language modeling for large vocabulary continuous speech recognition , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[27] Jean-Luc Gauvain,et al. The LIMSI Broadcast News transcription system , 2002, Speech Commun..
[28] Jean-Luc Gauvain,et al. Using information retrieval methods for language model adaptation , 2001, INTERSPEECH.
[29] Joshua Goodman,et al. A bit of progress in language modeling , 2001, Comput. Speech Lang..
[30] R. Rosenfeld. A Maximum Entropy Approach to Adaptive Statistical Language Modeling , 2001 .
[31] Yoshua Bengio,et al. A Neural Probabilistic Language Model , 2003, J. Mach. Learn. Res..
[32] Wei Xu,et al. Can artificial neural networks learn language models? , 2000, INTERSPEECH.
[33] Frederick Jelinek,et al. Structured language modeling , 2000, Comput. Speech Lang..
[34] Mingjing Li,et al. Discriminative training on language model , 2000, INTERSPEECH.
[35] J.R. Bellegarda,et al. Exploiting latent semantic information in statistical language modeling , 2000, Proceedings of the IEEE.
[36] Geoffrey E. Hinton,et al. Extracting distributed representations of concepts and relations from positive and negative propositions , 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.
[37] F ChenStanley,et al. An Empirical Study of Smoothing Techniques for Language Modeling , 1996, ACL.
[38] Mari Ostendorf,et al. Relevance weighting for combining multi-domain data for n-gram language modeling , 1999, Comput. Speech Lang..
[39] Mazin G. Rahim,et al. Integrated bias removal techniques for robust speech recognition , 1999, Comput. Speech Lang..
[40] Mari Ostendorf,et al. A new metric for stochastic language model evaluation , 1999, EUROSPEECH.
[41] Marcello Federico,et al. Efficient language model adaptation through MDI estimation , 1999, EUROSPEECH.
[42] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[43] Jonathan G. Fiscus,et al. A post-processing system to yield reduced word error rates: Recognizer Output Voting Error Reduction (ROVER) , 1997, 1997 IEEE Workshop on Automatic Speech Recognition and Understanding Proceedings.
[44] Jerome R. Bellegarda,et al. A latent semantic analysis framework for large-Span language modeling , 1997, EUROSPEECH.
[45] James Demmel,et al. Using PHiPAC to speed error back-propagation learning , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[46] Marcello Federico,et al. Bayesian estimation methods for n-gram language model adaptation , 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.
[47] Ronald Rosenfeld,et al. A maximum entropy approach to adaptive statistical language modelling , 1996, Comput. Speech Lang..
[48] Adam L. Berger,et al. A Maximum Entropy Approach to Natural Language Processing , 1996, CL.
[49] Jürgen Schmidhuber,et al. Sequential neural text compression , 1996, IEEE Trans. Neural Networks.
[50] Reinhard Kneser,et al. On the dynamic adaptation of stochastic language models , 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[51] Heekuck Oh,et al. Neural Networks for Pattern Recognition , 1993, Adv. Comput..
[52] Robert L. Mercer,et al. Class-Based n-gram Models of Natural Language , 1992, CL.
[53] Risto Miikkulainen,et al. Natural Language Processing With Modular PDP Networks and Distributed Lexicon , 1991, Cogn. Sci..
[54] Richard A. Harshman,et al. Indexing by Latent Semantic Analysis , 1990, J. Am. Soc. Inf. Sci..
[55] Renato De Mori,et al. A Cache-Based Natural Language Model for Speech Recognition , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[56] John Cocke,et al. A Statistical Approach to Machine Translation , 1990, CL.
[57] Jeffrey L. Elman,et al. Finding Structure in Time , 1990, Cogn. Sci..
[58] Françoise Fogelman-Soulié,et al. Neurocomputing : algorithms, architectures and applications , 1990 .
[59] Masami Nakamura,et al. A study of English word category prediction based on neutral networks , 1989, International Conference on Acoustics, Speech, and Signal Processing,.
[60] John Scott Bridle,et al. Probabilistic Interpretation of Feedforward Classification Network Outputs, with Relationships to Statistical Pattern Recognition , 1989, NATO Neurocomputing.
[61] Geoffrey E. Hinton,et al. Learning distributed representations of concepts. , 1989 .
[62] K. Shikano,et al. A study of English word category prediction based on neural networks , 1988 .
[63] Slava M. Katz,et al. Estimation of probabilities from sparse data for the language model component of a speech recognizer , 1987, IEEE Trans. Acoust. Speech Signal Process..
[64] Roger K. Moore. Computer Speech and Language , 1986 .