Extensions of recurrent neural network language model

We present several modifications of the original recurrent neural net work language model (RNN LM). While this model has been shown to significantly outperform many competitive language modeling techniques in terms of accuracy, the remaining problem is the computational complexity. In this work, we...

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Vydané v:	2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) s. 5528 - 5531
Hlavní autori:	Mikolov, Tomas, Kombrink, Stefan, Burget, Lukas, Cernocky, Jan Honza, Khudanpur, Sanjeev
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.05.2011
Predmet:	Artificial neural networks Backpropagation Computational modeling language modeling Probability distribution Recurrent neural networks speech recognition Training Vocabulary
ISBN:	9781457705380, 1457705389
ISSN:	1520-6149
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