Title
Incorporating syntax-based language models in phrase-based SMT models
Abstract
In this paper, we proposed a method to incorporate syntax-based language models in phrase-based statistical machine translation (SMT) systems. The language model that we used is based on link grammar, which is a high lexical formalism. In order to apply language models based on link grammar in phrase-based models, we brought out the concept of linked phrases, which is an extension of the concept of traditional phrases in phrase-based models. Experiments were carried out and the results showed that the use of syntax-based language models could improve the performance of the phrase-based models greatly.
Year
DOI
Venue
2008
10.1109/ISKE.2008.4731040
Intelligent System and Knowledge Engineering, 2008. ISKE 2008. 3rd International Conference
Keywords
DocType
Volume
computational linguistics,smt models,syntax-based language models,phrase-based models,high lexical formalism,statistical machine translation,language translation,link grammar,intelligent systems,language model,knowledge engineering,couplings,computational modeling,data mining,writing
Conference
1
Issue
ISSN
ISBN
null
null
978-1-4244-2197-8
Citations 
PageRank 
References 
0
0.34
13
Authors
4
Name
Order
Citations
PageRank
CHEN Yi-dong110627.34
XiaoDong Shi200.34
Changle Zhou323350.24
Q. Y. Hong45015.79