Feature-Rich Statistical Translation of Noun Phrases

Philipp Koehn; Kevin Knight

doi:10.3115/1075096.1075136

Feature-Rich Statistical Translation of Noun Phrases

Philipp Koehn, Kevin Knight

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We define noun phrase translation as a subtask of machine translation. This enables us to build a dedicated noun phrase translation subsystem that improves over the currently best general statistical machine translation methods by incorporating special modeling and special features. We achieved 65.5% translation accuracy in a German-English translation task vs. 53.2% with IBM Model 4.

Original language	English
Title of host publication	Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics
Editors	Erhard W. Hinrichs, Dan Roth
Place of Publication	Sapporo, Japan
Publisher	Association for Computational Linguistics
Pages	311-318
Number of pages	8
DOIs	https://doi.org/10.3115/1075096.1075136
Publication status	Published - 1 Jul 2003
Event	41st Annual Meeting of the Association for Computational Linguistics - Sapporo Convention Centre, Sapporo, Japan Duration: 7 Jul 2003 → 12 Jul 2003

Conference

Conference	41st Annual Meeting of the Association for Computational Linguistics
Country/Territory	Japan
City	Sapporo
Period	7/07/03 → 12/07/03

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10.3115/1075096.1075136

Feature-Rich Statistical Translation of Noun PhrasesFinal published version, 114 KB

http://www.aclweb.org/anthology/P03-1040

Cite this

@inproceedings{ec9237df4aea4379bc4a43ac88ffc9b8,

title = "Feature-Rich Statistical Translation of Noun Phrases",

abstract = "We define noun phrase translation as a subtask of machine translation. This enables us to build a dedicated noun phrase translation subsystem that improves over the currently best general statistical machine translation methods by incorporating special modeling and special features. We achieved 65.5% translation accuracy in a German-English translation task vs. 53.2% with IBM Model 4.",

author = "Philipp Koehn and Kevin Knight",

year = "2003",

month = jul,

day = "1",

doi = "10.3115/1075096.1075136",

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pages = "311--318",

editor = "Hinrichs, {Erhard W.} and Dan Roth",

booktitle = "Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics",

publisher = "Association for Computational Linguistics",

note = " 41st Annual Meeting of the Association for Computational Linguistics ; Conference date: 07-07-2003 Through 12-07-2003",

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Koehn, P & Knight, K 2003, Feature-Rich Statistical Translation of Noun Phrases. in EW Hinrichs & D Roth (eds), Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, Sapporo, Japan, pp. 311-318, 41st Annual Meeting of the Association for Computational Linguistics, Sapporo, Japan, 7/07/03. https://doi.org/10.3115/1075096.1075136

Feature-Rich Statistical Translation of Noun Phrases. / Koehn, Philipp; Knight, Kevin.
Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics. ed. / Erhard W. Hinrichs; Dan Roth. Sapporo, Japan: Association for Computational Linguistics, 2003. p. 311-318.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Knight, Kevin

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N2 - We define noun phrase translation as a subtask of machine translation. This enables us to build a dedicated noun phrase translation subsystem that improves over the currently best general statistical machine translation methods by incorporating special modeling and special features. We achieved 65.5% translation accuracy in a German-English translation task vs. 53.2% with IBM Model 4.

AB - We define noun phrase translation as a subtask of machine translation. This enables us to build a dedicated noun phrase translation subsystem that improves over the currently best general statistical machine translation methods by incorporating special modeling and special features. We achieved 65.5% translation accuracy in a German-English translation task vs. 53.2% with IBM Model 4.

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DO - 10.3115/1075096.1075136

M3 - Conference contribution

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BT - Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics

A2 - Hinrichs, Erhard W.

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CY - Sapporo, Japan

T2 - 41st Annual Meeting of the Association for Computational Linguistics

Y2 - 7 July 2003 through 12 July 2003

ER -

Feature-Rich Statistical Translation of Noun Phrases

Abstract

Conference

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