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Using Linguistic Annotations in Statistical Machine Translation of Film Subtitles
Fondazione Bruno Kessler, Human Language Technologies, Trento, Italy. (Datorlingvistik)
University of Zurich. (Institut für Computerlinguistik)
2009 (English)In: Proceedings of the 17th Nordic Conference of Computational Linguistics NODALIDA 2009 / [ed] Kristiina Jokinen and Eckhard Bick, Tartu: Tartu University Library , 2009, 57-64 p.Conference paper (Refereed)
Abstract [en]

Statistical Machine Translation (SMT) has been successfully employed to support translation of film subtitles. We explore the integration of Constraint Grammar corpus annotations into a Swedish–Danish subtitle SMT system in the framework of factored SMT. While the usefulness of the annotations is limited with large amounts of parallel data, we show that linguistic annotations can increase the gains in translation quality when monolingual data in the target language is added to an SMT system based on a small parallel corpus.

Place, publisher, year, edition, pages
Tartu: Tartu University Library , 2009. 57-64 p.
Series
, NEALT Proceedings Series, ISSN 1736-6305 ; 4
National Category
Language Technology (Computational Linguistics)
Identifiers
URN: urn:nbn:se:uu:diva-154484OAI: oai:DiVA.org:uu-154484DiVA: diva2:420752
Conference
NODALIDA 2009, May 14-16, 2009 University of Southern Denmark in Odense, Denmark
Available from: 2011-06-07 Created: 2011-06-05 Last updated: 2013-09-18Bibliographically approved

Open Access in DiVA

hardmeier-volk:nodalida2009(395 kB)382 downloads
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File name FULLTEXT03.pdfFile size 395 kBChecksum SHA-512
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Type fulltextMimetype application/pdf

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http://hdl.handle.net/10062/9206Conference website

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Hardmeier, Christian
Language Technology (Computational Linguistics)

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ReferencesLink to record
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