The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Clause restructuring for statistical machine translation
Open accessAbstract
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.
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Cites
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BLEU: a method for automatic evaluation of machine translation
Papineni, K., Roukos, S., Ward, T., & Zhu, W.-J. (2001) · Proceedings of the 40th Annual Meeting on Association for Computational Linguistics - ACL '02 · doi:10.3115/1073083.1073135 · Cited by 21,344
The mathematics of statistical machine translation: parameter estimation
Brown, P. F., Pietra, V. J. D., Pietra, S. A. D., & Mercer, R. L. (1993) · Cited by 3,973
Bleu: a method for automatic evaluation of machine translation
Papineni, K. (2024) · doi:10.57702/ljteqmrb · Cited by 3,672
Statistical phrase-based translation
Koehn, P., Och, F. J., & Marcu, D. (2003) · Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - NAACL '03 · doi:10.3115/1073445.1073462 · Cited by 3,197
Self-citationA maximum entropy approach to natural language processing
Berger, A. L., Pietra, V. J. D., & Pietra, S. A. D. (1996) · doi:10.5555/234285.234289 · Cited by 3,065
Minimum error rate training in statistical machine translation
Och, F. J. (2003) · Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - ACL '03 · doi:10.3115/1075096.1075117 · Cited by 2,725
Statistical Significance Tests for Machine Translation Evaluation.
Koehn, P. (2004) · Cited by 1,449
Self-citationAn Introduction to the Bootstrap.
Kimber, A., Efron, B., & Tibshirani, R. J. (1994) · The Statistician · doi:10.2307/2348146 · Cited by 1,245
Statistical Phrase-Based Translation
Koehn, P., Och, F. J., & Marcu, D. (2003) · doi:10.21236/ada461156 · Cited by 965
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Cited by
The Hitchhiker’s Guide to Testing Statistical Significance in Natural Language Processing
Dror, R., Baumer, G., Shlomov, S., & Reichart, R. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · doi:10.18653/v1/p18-1128 · Cited by 384
Experiments in domain adaptation for statistical machine translation
Koehn, P., & Schroeder, J. (2007) · Proceedings of the Second Workshop on Statistical Machine Translation - StatMT '07 · doi:10.3115/1626355.1626388 · Cited by 320
Self-citationA Survey of Multilingual Neural Machine Translation
Dabre, R., Chu, C., & Kunchukuttan, A. (2021) · ACM Computing Surveys · doi:10.1145/3406095 · Cited by 294
(2019) · doi:10.1609/aaai.v33i01.33016618 · Cited by 31
The Edinburgh/JHU Phrase-based Machine Translation Systems for WMT~2015
Haddow, B., Huck, M., Birch, A., Bogoychev, N., & Koehn, P. (2015) · Proceedings of the Tenth Workshop on Statistical Machine Translation · doi:10.18653/v1/w15-3013 · Cited by 14
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Metadata
- Authors
- Collins, M., Koehn, P., & Kučerová, I.
- Venue
- Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics - ACL '05
- Published
- 2005
- Pages
- 531-540
- OpenAlex
- W2162245945
- Cited by
- 585
- References
- 27
- FWCI
- 23.85
- Type
- conference paper
- Language
- en
- Open access
- bronze
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