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Cited by 585

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 access
Collins, Michael, Koehn, Philipp, Kučerová, Ivona·2005·Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics - ACL '05

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.

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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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CoChat. (2026). Citation check: Clause restructuring for statistical machine translation. https://app.cochat.ai/papers/10.3115/1219840.1219906
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Collins, M., Koehn, P., & Kučerová, I. (2005). Clause restructuring for statistical machine translation. Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics - ACL '05. https://doi.org/10.3115/1219840.1219906

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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