Detail publikačního výsledku

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

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

Originální název

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

Anglický název

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

Druh

Článek WoS

Originální abstrakt

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

Anglický abstrakt

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

Klíčová slova

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

Klíčová slova v angličtině

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

Autoři

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

Rok RIV

2013

Vydáno

21.08.2012

Nakladatel

Elsevier Science

Kniha

Speech Communication

ISSN

0167-6393

Periodikum

SPEECH COMMUNICATION

Svazek

2012

Číslo

8

Stát

Nizozemsko

Strany od

1

Strany do

16

Strany počet

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#"
}