Document Detail

Translating medical terminologies through word alignment in parallel text corpora.
MedLine Citation:
PMID:  19275946     Owner:  NLM     Status:  MEDLINE    
Developing international multilingual terminologies is a time-consuming process. We present a methodology which aims to ease this process by automatically acquiring new translations of medical terms based on word alignment in parallel text corpora, and test it on English and French. After collecting a parallel, English-French corpus, we detected French translations of English terms from three terminologies-MeSH, SNOMED CT and the MedlinePlus Health Topics. We obtained respectively for each terminology 74.8%, 77.8% and 76.3% of linguistically correct new translations. A sample of the MeSH translations was submitted to expert review and 61.5% were deemed desirable additions to the French MeSH. In conclusion, we successfully obtained good quality new translations, which underlines the suitability of using alignment in text corpora to help translating terminologies. Our method may be applied to different European languages and provides a methodological framework that may be used with different processing tools.
Louise Deléger; Magnus Merkel; Pierre Zweigenbaum
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Publication Detail:
Type:  Journal Article     Date:  2009-03-09
Journal Detail:
Title:  Journal of biomedical informatics     Volume:  42     ISSN:  1532-0480     ISO Abbreviation:  J Biomed Inform     Publication Date:  2009 Aug 
Date Detail:
Created Date:  2009-07-06     Completed Date:  2009-09-22     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  100970413     Medline TA:  J Biomed Inform     Country:  United States    
Other Details:
Languages:  eng     Pagination:  692-701     Citation Subset:  IM    
INSERM, UMR_S 872, Eq. 20, Centre des cordeliers, Paris F-75006, France.
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MeSH Terms
Computational Biology / methods*
Medical Subject Headings
Natural Language Processing*
Systematized Nomenclature of Medicine
Vocabulary, Controlled*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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