Système de traduction automatique statistique combinant différentes ressources

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TypeArticle
ConferenceConférence du traitement automatique des langues naturelles (TALN 2006), April 10-13, 2006., Leuven, Belgium
Subjectstatistical phrase-based machine translation; parallel corpora; bilingual dictionary
AbstractThis paper describes an approach combining different statistical models for phrase-based machine translation. Different knowledge resources are used, such as two parallel corporawith different characteristics and a bilingual dictionary of terminology, in order to improve the qualitative and quantitative performance of the translation system. We evaluate our approach on the French-English language pair and show how combining the proposed resources significantly improves the results.
Publication date
LanguageFrench
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number48758
NPARC number8913994
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Record identifier6cbc908e-e1af-485f-919e-4a50152bd929
Record created2009-04-22
Record modified2016-05-09
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