Publication result detail

Approximate inference: A sampling based modeling technique to capture complex dependencies in a language model

DEORAS, A.; MIKOLOV, T.; KOMBRINK, S.; CHURCH, K.

Original Title

Approximate inference: A sampling based modeling technique to capture complex dependencies in a language model

English Title

Approximate inference: A sampling based modeling technique to capture complex dependencies in a language model

Type

WoS Article

Original Abstract

This paper deals with approximate inference: a sampling based modeling technique to capture complex dependencies in a language model

English abstract

This paper deals with approximate inference: a sampling based modeling technique to capture complex dependencies in a language model

Keywords

Long-span language models; Recurrent neural networks; Speech recognition; Decoding

Key words in English

Long-span language models; Recurrent neural networks; Speech recognition; Decoding

Authors

DEORAS, A.; MIKOLOV, T.; KOMBRINK, S.; CHURCH, K.

RIV year

2013

Released

21.08.2012

Publisher

Elsevier Science

Book

Speech Communication

ISBN

0167-6393

Periodical

SPEECH COMMUNICATION

Volume

2012

Number

8

State

Kingdom of the Netherlands

Pages from

1

Pages to

16

Pages count

16

URL

http://www.sciencedirect.com/science/article/pii/S0167639312000969#

BibTex

@article{BUT97047,
  author="Anoop {Deoras} and Tomáš {Mikolov} and Stefan {Kombrink} and Kenneth {Church}",
  title="Approximate inference: A sampling based modeling technique to capture complex dependencies in a language model",
  journal="SPEECH COMMUNICATION",
  year="2012",
  volume="2012",
  number="8",
  pages="1--16",
  doi="10.1016/j.specom.2012.08.004",
  issn="0167-6393",
  url="http://www.sciencedirect.com/science/article/pii/S0167639312000969#"
}