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...

Full description

Bibliographic Details

Published in:	2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 5528 - 5531
Main Authors:	Mikolov, Tomas, Kombrink, Stefan, Burget, Lukas, Cernocky, Jan Honza, Khudanpur, Sanjeev
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.05.2011
Subjects:	Artificial neural networks Backpropagation Computational modeling language modeling Probability distribution Recurrent neural networks speech recognition Training Vocabulary
ISBN:	9781457705380, 1457705389
ISSN:	1520-6149
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!