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Enriching Medical Terminologies: an Approach Based on Aligned Corpora
INSERM U729, Paris, France.
Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, The Institute of Technology.
INSERM U729, Paris, France.
2006 (English)In: Ubiquity: Technologies for Better Health in Aging Societies, MIE2006 / [ed] Arie Hasman, Reinhold Haux, Johan van der Lei, Etienne De Clercq, Francis Roger-France, IOS Press, 2006, 747-752 p.Conference paper (Refereed)
Abstract [en]

Medical terminologies such as those in the UMLS are never exhaustive and there is a constant need to enrich them, especially in terms of multilinguality. We present a methodology to acquire new French translations of English medical terms based on word alignment in a parallel corpus - i.e. pairing of corresponding words. We automatically collected a 27.7-million-word parallel, English-French corpus. Based on a first 1.3-million-word extract of this corpus, we detected 10,171 candidate French translations of English medical terms from MeSH and SNOMED, among which 3,807 are new translations of English MeSH terms

Place, publisher, year, edition, pages
IOS Press, 2006. 747-752 p.
, Studies in Health Technology and Informatics, ISSN 0926-9630 ; 124
Keyword [en]
medical terminology; parallel corpora; word alignment
National Category
Computer Science
URN: urn:nbn:se:liu:diva-35775ISI: 000281143200106PubMedID: 17108604Local ID: 28510ISBN: 978-1-58603-647-8ISBN: e-978-1-60750-192-3OAI: diva2:256623
20th International Congress of the European-Federation-for-Medical-Informatics, 27-30 August 2006, Maastricht, Netherlands
Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2013-06-26Bibliographically approved

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Merkel, Magnus
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NLPLAB - Natural Language Processing LaboratoryThe Institute of Technology
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