Title
Hierarchical phrase-based machine translation with word-based reordering model
Abstract
Hierarchical phrase-based machine translation can capture global reordering with synchronous context-free grammar, but has little ability to evaluate the correctness of word orderings during decoding. We propose a method to integrate word-based reordering model into hierarchical phrase-based machine translation to overcome this weakness. Our approach extends the synchronous context-free grammar rules of hierarchical phrase-based model to include reordered source strings, allowing efficient calculation of reordering model scores during decoding. Our experimental results on Japanese-to-English basic travel expression corpus showed that the BLEU scores obtained by our proposed system were better than those obtained by a standard hierarchical phrase-based machine translation system.
Year
Venue
Keywords
2010
COLING
synchronous context-free grammar rule,word-based reordering model,translation system,proposed system,synchronous context-free grammar,standard hierarchical phrase-based machine,hierarchical phrase-based machine translation,global reordering,reordering model score,hierarchical phrase-based model,machine translation
Field
DocType
Volume
Rule-based machine translation,Example-based machine translation,Computer science,Machine translation,Phrase,Speech recognition,Grammar,Synchronous context-free grammar,Phrase structure rules,Natural language processing,Transfer-based machine translation,Artificial intelligence
Conference
C10-1
Citations 
PageRank 
References 
6
0.42
20
Authors
5
Name
Order
Citations
PageRank
Katsuhiko Hayashi16010.32
Hajime Tsukada244929.46
Katsuhito Sudoh332634.44
Kevin Duh481972.94
Seiichi Yamamoto541857.74