Conference paper

MIKOLOV Tomáš, KOMBRINK Stefan, DEORAS Anoop, BURGET Lukáš and ČERNOCKÝ Jan. RNNLM - Recurrent Neural Network Language Modeling Toolkit. In: Proceedings of ASRU 2011. Hilton Waikoloa Village, Big Island, Hawaii: IEEE Signal Processing Society, 2011, pp. 1-4. ISBN 978-1-4673-0366-8.
Publication language:english
Original title:RNNLM - Recurrent Neural Network Language Modeling Toolkit
Title (cs):RNNLM - Toolkit pro jazykové modelování pomocí rekurentních neuronových sítí
Pages:1-4
Proceedings:Proceedings of ASRU 2011
Conference:IEEE 2011 Workshop on Automatic Speech Recognition and Understanding
Place:Hilton Waikoloa Village, Big Island, Hawaii, US
Year:2011
ISBN:978-1-4673-0366-8
Publisher:IEEE Signal Processing Society
URL:http://www.fit.vutbr.cz/research/groups/speech/publi/2011/mikolov_asru2011_demo_RNNLM-1.pdf [PDF]
Keywords
neural network, language modeling, speeech recognition
Annotation
This article is about the RNNLM - Recurrent Neural Network Language Modeling Toolkit, which was presented at the poster session of the ASRU 2011 conference.
Abstract
We present a freely available open-source toolkit for training recurrent neural network based language models. It can be easily used to improve existing speech recognition and machine translation systems. Also, it can be used as a baseline for future research of advanced language modeling techniques. In the paper, we discuss optimal parameter selection and different modes of functionality. The toolkit, example scripts and basic setups are freely available at http://rnnlm.sourceforge.net/.
BibTeX:
@INPROCEEDINGS{
   author = {Tom{\'{a}}{\v{s}} Mikolov and Stefan Kombrink and Anoop
	Deoras and Luk{\'{a}}{\v{s}} Burget and Jan
	{\v{C}}ernock{\'{y}}},
   title = {RNNLM - Recurrent Neural Network Language Modeling Toolkit},
   pages = {1--4},
   booktitle = {Proceedings of ASRU 2011},
   year = {2011},
   location = {Hilton Waikoloa Village, Big Island, Hawaii, US},
   publisher = {IEEE Signal Processing Society},
   ISBN = {978-1-4673-0366-8},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=10087}
}

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