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DEORAS, A.; MIKOLOV, T.; CHURCH, K.
Original Title
A Fast Re-scoring Strategy to Capture Long-Distance Dependencies
English Title
Type
Paper in proceedings outside WoS and Scopus
Original Abstract
The paper describes novel approach to lattice rescoring with complex lanaguage models with long-distance dependencies, such as recurrent neural network language models.
English abstract
Keywords
language model, re-scoring strategy, recurrent neural network
Key words in English
Authors
RIV year
2012
Released
27.07.2011
Publisher
Association for Computational Linguistics
Location
Edinburgh
ISBN
978-1-937284-11-4
Book
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing July 2011 Edinburgh, Scotland, UK
Pages from
1116
Pages to
1127
Pages count
12
URL
https://www.fit.vut.cz/research/publication/9687/
BibTex
@inproceedings{BUT76392, author="Anoop {Deoras} and Tomáš {Mikolov} and Kenneth {Church}", title="A Fast Re-scoring Strategy to Capture Long-Distance Dependencies", booktitle="Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing July 2011 Edinburgh, Scotland, UK", year="2011", pages="1116--1127", publisher="Association for Computational Linguistics", address="Edinburgh", isbn="978-1-937284-11-4", url="https://www.fit.vut.cz/research/publication/9687/" }