title: The effect of a general lexicon in corpus-based identification of French-English medical word translations.
abstract: We present a method, based on the similarity of word distribution across languages, of finding 'new' words' translations in French-English comparable medical texts, starting from a partial bilingual medical lexicon. In this paper, we test the influence of adding general-language words to this initial lexicon. Our experimental results show that all test words are correctly translated within the top 25 candidates; and that the addition of general words to the lexicon helps to improve translation accuracy for medical words.
authors.affiliation: STIM/DSI, Assistance Publique-Hôpitaux de Paris, France. ycc@biomath.jussieu.fr
authors.forename: Yun-Chuang
authors.initials: YC
authors.lastname: Chiao
authors.forename: Pierre
authors.initials: P
authors.lastname: Zweigenbaum
mesh_terms: D000465:Algorithms; D005602:France; D009323:Natural Language Processing; D014175:Translating; D018875:Vocabulary, Controlled