A Probabilistic Approach to Syntax-based Reordering for Statistical Machine Translation
| Citations: | 14 - 2 self |
BibTeX
@MISC{Li_aprobabilistic,
author = {Chi-ho Li and Dongdong Zhang and Mu Li and Ming Zhou and Minghui Li and Yi Guan},
title = {A Probabilistic Approach to Syntax-based Reordering for Statistical Machine Translation},
year = {}
}
Years of Citing Articles
Bookmark
 |
 |
 |
 |
 |
 |
OpenURL
Abstract
Inspired by previous preprocessing approaches to SMT, this paper proposes a novel, probabilistic approach to reordering which combines the merits of syntax and phrase-based SMT. Given a source sentence and its parse tree, our method generates, by tree operations, an n-best list of reordered inputs, which are then fed to standard phrase-based decoder to produce the optimal translation. Experiments show that, for the NIST MT-05 task of Chinese-to-English translation, the proposal leads to BLEU improvement of 1.56%. 1
Citations
| 992 | BLEU: A Method for Automatic Evaluation of Machine Translation - Papineni, Roukos, et al. - 2002 |
| 341 | Improved statistical alignment models - Och, Ney - 2000 |
| 202 | K.: A syntax-based statistical translation model - Yamada, Knight - 2001 |
| 56 | restructuring for statistical machine translation - Clause |
| 23 | Improving a statistical MT system with automatically learned rewrite patterns - Xia, McCord - 2004 |
| 20 | A block orientation model for statistical machine translation - Tillmann - 2004 |
| 9 | Distortion models for statistical machine translation - Al-Onaizan, Papineni - 2006 |
| 2 | Dependency Treelet Translation - Quirk, Menzes, et al. - 2005 |
| 1 | Chang-Ning Huang 2003 - Gao, Li |
