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A syntax-based statistical translation model

Open access
Yamada, Kenji, Knight, Kevin·2001·Proceedings of the 39th Annual Meeting on Association for Computational Linguistics - ACL '01

Abstract

We present a syntax-based statistical translation model.Our model transforms a source-language parse tree into a target-language string by applying stochastic operations at each node.These operations capture linguistic differences such as word order and case marking.Model parameters are estimated in polynomial time using an EM algorithm.The model produces word alignments that are better than those produced by IBM Model 5.

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Metadata

Authors
Yamada, K., & Knight, K.
Venue
Proceedings of the 39th Annual Meeting on Association for Computational Linguistics - ACL '01
Published
2001
Pages
523-530
OpenAlex
W2116316001
Cited by
728
References
2
FWCI
18.77
Type
conference paper
Language
en
Open access
bronze

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CoChat. (2026). Citation check: A syntax-based statistical translation model. https://app.cochat.ai/papers/10.3115/1073012.1073079
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Yamada, K., & Knight, K. (2001). A syntax-based statistical translation model. Proceedings of the 39th Annual Meeting on Association for Computational Linguistics - ACL '01. https://doi.org/10.3115/1073012.1073079

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

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.