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Memory-based learning of word translation
Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, The Institute of Technology.
2007 (English)In: Proceedings of 16th Nordic Conference of Computational Linguistics Nodalida,2007 / [ed] oakim Nivre, Heiki-Jaan Kaalep, Kadri Muischnek, Mare Koit, Tartu: University of Tartu , 2007, 231-234 p.Conference paper, Published paper (Refereed)
Abstract [en]

A basic task in machine translation is to choose the right translation for source words with several possible translations in the target language. In this paper we treat word translation as a word sense disambiguation problem and train memory-based classifiers on words with alternative translations. The training data was automatically labeled with the corresponding translations by word-aligning a parallel corpus. Results show that many words were translated with accuracy above the baseline.

Place, publisher, year, edition, pages
Tartu: University of Tartu , 2007. 231-234 p.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:liu:diva-40145Local ID: 52417ISBN: 978-9985-4-0513-0 (electronic)ISBN: 978-9985-4-0514-7 (print)OAI: oai:DiVA.org:liu-40145DiVA: diva2:260994
Conference
The 16th Nordic Conference of Computational Linguistics, University of Tartu, Estonia, 24-26 May 2007
Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2014-01-31Bibliographically approved

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Holmqvist, Maria

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • 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