title: Enriching medical terminologies: an approach based on aligned corpora.
abstract: 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.
authors.affiliation: INSERM U729, Paris, France. louise.deleger@spim.jussieu.fr
authors.forename: Louise
authors.initials: L
authors.lastname: Deleger
authors.forename: Magnus
authors.initials: M
authors.lastname: Merkel
authors.forename: Pierre
authors.initials: P
authors.lastname: Zweigenbaum
mesh_terms: D005602:France; D006801:Humans; D009323:Natural Language Processing; D039061:Systematized Nomenclature of Medicine; D009626:Terminology as Topic; D014175:Translating