- Abstract:
-
We describe a method for incorporating syntactic information in statistical machine translation systems. The first step of the method is to parse the source language string that is being translated. The second step is to apply a series of transformations to the parse tree, effectively reordering the surface string on the source language side of the translation system. The goal of this step is to recover an underlying word order that is closer to the target language word-order than the original string. The reordering approach is applied as a pre-processing step in both the training and decoding phases of a phrase-based statistical MT system. We describe experiments on translation from German to English, showing an improvement from 25.2% Bleu score for a baseline system to 26.8% Bleu score for the system with reordering, a statistically significant improvement.
- Copyright:
- 2006 by ACL. All Rights Reserved
- Links To Paper
- 1st Link
- Bibtex format
- @InProceedings{EDI-INF-RR-0734,
- author = {
Michael Collins
and Philipp Koehn
and Ivona Kucerova
},
- title = {Clause restructuring for statistical machine translation},
- book title = {Proceedings of ACL 2005 (Meeting of the Association for Computational Linguistics)},
- year = 2005,
- pages = {531-540},
- url = {http://www.iccs.informatics.ed.ac.uk/~pkoehn/publications/clause-acl05.pdf},
- }
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