Detail publikace

A Fast Re-scoring Strategy to Capture Long-Distance Dependencies

DEORAS, A. MIKOLOV, T. CHURCH, K.

Originální název

A Fast Re-scoring Strategy to Capture Long-Distance Dependencies

Anglický název

A Fast Re-scoring Strategy to Capture Long-Distance Dependencies

Jazyk

en

Originální abstrakt

The paper describes novel approach to lattice rescoring with complex lanaguage models with long-distance dependencies, such as recurrent neural network language models.

Anglický abstrakt

The paper describes novel approach to lattice rescoring with complex lanaguage models with long-distance dependencies, such as recurrent neural network language models.

Dokumenty

BibTex


@inproceedings{BUT76392,
  author="Anoop {Deoras} and Tomáš {Mikolov} and Kenneth {Church}",
  title="A Fast Re-scoring Strategy to Capture Long-Distance Dependencies",
  annote="The paper describes novel approach to lattice rescoring with complex lanaguage
models with long-distance dependencies, such as recurrent neural network language
models.",
  address="Association for Computational Linguistics",
  booktitle="Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing July 2011 Edinburgh, Scotland, UK",
  chapter="76392",
  edition="NEUVEDEN",
  howpublished="print",
  institution="Association for Computational Linguistics",
  year="2011",
  month="july",
  pages="1116--1127",
  publisher="Association for Computational Linguistics",
  type="conference paper"
}