A chunk-based reordering model for phrase-based SMT systems

Author

Chen, Yidong ; Shi, Xiaodong ; Zhou, Changle ; Hong, Qingyang

Author_Institution

Dept. of Cognitive Sci., Xiamen Univ., Xiamen

fYear

2008

fDate

19-22 Oct. 2008

Firstpage

1

Lastpage

6

Abstract

This paper proposed a novel reordering model based on the reordering of source language chunks. This model is used as a preprocessing step of phrase-based translation models and could be well integrated with them. At the same time, as a chunk-based model, syntax information could be concerned in the process of reordering while the entire parsing of the source sentence is not required. Two experiments were carried out and the results showed that the proposed model could improve the performance of a phrase-based statistical machine translation (SMT) system greatly.

Keywords

language translation; natural language processing; statistical analysis; chunk-based reordering model; phrase-based SMT system; phrase-based translation model; source language chunk; statistical machine translation; Cognitive science; Decoding; Information science; NIST; Sorting; Surface-mount technology; Tides; Chunk-Based Models; Phrase-Based Translation Models (PBTM); Reordering Models; Statistical Machine Translation (SMT);

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Language Processing and Knowledge Engineering, 2008. NLP-KE '08. International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-4515-8

Electronic_ISBN

978-1-4244-2780-2

Type

conf

DOI

10.1109/NLPKE.2008.4906767

Filename

4906767