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Statistical Machine Translation with Readability Constraints
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology.
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology.
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology.
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology.
2013 (English)In: Proceedings of the 19th Nordic Conference on Computational Linguistics (NODALIDA 2013), Linköping, Sweden: Linköping University Electronic Press, 2013, 375-386 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents experiments with document-level machine translation with readabilityconstraints. We describe the task of producing simplified translations from a given source withthe aim to optimize machine translation for specific target users such as language learners. Inour approach, we introduce global features that are known to affect readability into a document-level SMT decoding framework. We show that the decoder is capable of incorporating thosefeatures and that we can influence the readability of the output as measured by commonmetrics. This study presents the first attempt of jointly performing machine translation and textsimplification, which is demonstrated through the case of translating parliamentary texts fromEnglish to Swedish.

Place, publisher, year, edition, pages
Linköping, Sweden: Linköping University Electronic Press, 2013. 375-386 p.
Series
NEALT Proceedings Series, 16
Keyword [en]
Machine Translation, Text Simplification, Readability
National Category
Language Technology (Computational Linguistics)
Research subject
Computational Linguistics
Identifiers
URN: urn:nbn:se:uu:diva-211206OAI: oai:DiVA.org:uu-211206DiVA: diva2:665904
Conference
The 19th Nordic Conference on Computational Linguistics (NODALIDA 2013)
Funder
eSSENCE - An eScience Collaboration
Available from: 2013-11-21 Created: 2013-11-21 Last updated: 2018-01-11

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http://www.ep.liu.se/ecp/085/034/ecp1385034.pdf

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Stymne, SaraTiedemann, JörgHardmeier, Christian

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf