Title :
Incorporating syntax-based language models in phrase-based SMT models
Author :
Chen, Yidong ; Shi, Xiaodong ; Zhou, Changle ; Hong, Qingyang
Author_Institution :
Dept. of Cognitive Sci., Xiamen Univ., Xiamen, China
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.
Keywords :
computational linguistics; language translation; SMT models; high lexical formalism; link grammar; phrase-based models; statistical machine translation; syntax-based language models; Cognitive science; Information retrieval; Information science; Intelligent systems; Knowledge engineering; NIST; Natural languages; Predictive models; Speech recognition; Surface-mount technology;
Conference_Titel :
Intelligent System and Knowledge Engineering, 2008. ISKE 2008. 3rd International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-2196-1
Electronic_ISBN :
978-1-4244-2197-8
DOI :
10.1109/ISKE.2008.4731040