Abstract | ||
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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 |
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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 Chao | 1 | 81 | 12.20 |
Zhoujun Li | 2 | 964 | 115.99 |
Yuexin Chen | 3 | 4 | 1.08 |