Feature-Rich Statistical Translation of Noun Phrases

Philipp Koehn, Kevin Knight

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

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 languageEnglish
Title of host publicationProceedings of the 41st Annual Meeting of the Association for Computational Linguistics
EditorsErhard W. Hinrichs, Dan Roth
Place of PublicationSapporo, Japan
PublisherAssociation for Computational Linguistics
Pages311-318
Number of pages8
DOIs
Publication statusPublished - 1 Jul 2003
Event 41st Annual Meeting of the Association for Computational Linguistics - Sapporo Convention Centre, Sapporo, Japan
Duration: 7 Jul 200312 Jul 2003

Conference

Conference 41st Annual Meeting of the Association for Computational Linguistics
Country/TerritoryJapan
CitySapporo
Period7/07/0312/07/03

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