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Vincent Claveau, Pierre Zweigenbaum,
Traduction de termes
biomédicaux par inférence de transducteurs,
Actes de la 12ème conférence
de Traitement automatique des langues naturelles (TALN'05), Dourdan,
France, June 2005,
Document
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Abstract This paper presents
and evaluates a method to automatically translate simple terms from
French into English and English into French in the biomedical domain.
It relies on a machine-learning technique that infers transducers from
examples of bilingual pairs of terms; no additional resources or
knowledge is needed. Then, these transducers, making the most of high
translation regularities in the biomedical domain, can be used to
translate new French terms into English or vice versa. Evaluations
reported show that our technique achieves good successful translation
rates (between 52 and 67%). When examining at the most frequent errors
made, some inherent limits of our approach are identified, and several
avenues are proposed in order to bypass them. Finally, some
perspectives are put forward to extend this work.
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