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Finding Medical Term Variations using Parallel Corpora and Distributional Similarity
University of Geneva.
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology.
2010 (English)In: Proceedings of the 6thWorkshop on Ontologies and Lexical Resources (OntoLex 2010), 2010Conference paper, Published paper (Refereed)
Abstract [en]

We describe a method for the identification of medical term variation using parallel corpora and measures of distributional similarity. Our approach is based on automatic word alignment and standard phrase extraction techniques commonly used in statistical machine translation. Combined with pattern-based filters we obtain encouraging results compared to related approaches using similar data-driven techniques.

Place, publisher, year, edition, pages
2010.
National Category
Language Technology (Computational Linguistics) Language Technology (Computational Linguistics)
Research subject
Computational Linguistics
Identifiers
URN: urn:nbn:se:uu:diva-129469OAI: oai:DiVA.org:uu-129469DiVA: diva2:343924
Conference
OntoLex 2010 6thWorkshop on Ontologies and Lexical, Beijing, August 22, 2010 Resources,
Available from: 2010-08-16 Created: 2010-08-16 Last updated: 2011-08-26Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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Language
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Output format
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