Title
An integrated reordering model for statistical machine translation
Abstract
In this paper, we propose a phrase reordering model for statistical machine translation. The model is derived from the bracketing ITG, and integrates the local and global reordering model. We present a method to extract phrase pairs from a word-aligned bilingual corpus in which the alignments satisfy the ITG constraint, and we also extract the reordering information for the phrase pairs, which are used to build the re-ordering model. Through experiments, we show that this model obtains significant improvements over the baseline on a Chinese-English translation.
Year
DOI
Venue
2007
10.1007/978-3-540-76631-5_91
MICAI
Keywords
Field
DocType
itg constraint,reordering model,reordering information,global reordering model,statistical machine translation,itg.,phrase reordering model,phrase pair,bracketing itg,chinese-english translation,integrated reordering model,significant improvement,re-ordering model,satisfiability
Example-based machine translation,Computer science,Machine translation,Phrase,Speech recognition,Artificial intelligence,Natural language processing,Bracketing
Conference
Volume
ISSN
ISBN
4827
0302-9743
3-540-76630-8
Citations 
PageRank 
References 
1
0.37
12
Authors
3
Name
Order
Citations
PageRank
Wenhan Chao18112.20
Zhoujun Li2964115.99
Yuexin Chen341.08