Cadlaws: un corpus paralelo de documentos jurídicos equivalentes inglés-francés

Francina Sole-Mauri; Pilar Sánchez-Gijón; Antoni Oliver

doi:10.17533/udea.mut.v14n2a10

Auteurs-es

Francina Sole-Mauri Université autonome de Barcelone
Pilar Sánchez-Gijón Université autonome de Barcelone
Antoni Oliver Université ouverte de Catalogne

DOI :

https://doi.org/10.17533/udea.mut.v14n2a10

Mots-clés :

construction de corpus, corpus parallèle, traduction automatique neuronale (nmt), anglais, français, Cadlaws

Résumé

Cet article présente Cadlaws, un nouveau corpus anglais-français construit à partir de documents juridiques canadiens. L’article décrit le processus de construction du corpus ainsi que les statistiques préliminaires obtenues à partir de celui-ci. Le corpus contient plus de 16 millions de mots dans chaque langue et présente des caractéristiques uniques puisqu’il est composé de documents juridiquement équivalents dans les deux langues mais qui ne sont pas le résultat d’une traduction. Le corpus est construit à partir de textes co-rédigés par deux juristes afin de garantir l’égalité juridique de chaque version et de refléter les concepts, termes et institutions de deux traditions juridiques. Dans cet article, la définition du corpus comme un corpus parallèle au lieu d’un corpus comparable est également discutée. Cadlaws a été prétraité pour la traduction automatique et offre la valeur d’évaluation bleu (Bilingual Evaluation Understudy), un score permettant de comparer une traduction avec la norme d’un système de traduction automatique neuronal. À notre connaissance, il s’agit du plus grand corpus parallèle de textes véhiculant le même sens dans cette paire de langues et il est disponible gratuitement pour une utilisation non commerciale.

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Bibliographies de l'auteur-e

Francina Sole-Mauri, Université autonome de Barcelone

Doctorant du programme doctoral en traduction et études interculturelles de l'Université autonome de Barcelone (UAB). Ses principaux domaines de recherche sont la traduction automatique et la linguistique informatique. Il est membre du projet DESPITE-MT : Décrire PostEditese en traduction automatique (Ministère des Sciences et de l'Innovation).

Pilar Sánchez-Gijón, Université autonome de Barcelone

Diplômée en Langues Modernes Appliquées de l'Université "Babes-Bolyai", Cluj Napoca, Roumanie, Doctorat en Traductologie Spécialisée de l'Université Pompeu Fabra, Barcelone. C'est actuellement une profession permanente du Département de Traduction et d'Interprétation de l'Ecole Nationale de Langue, de la Langue et de la Traduction de l'UNAM, ou de l'enseignement des cours particuliers de traduction, de théories de la traduction, de documentation et de terminologie. . De plus, elle est la coordinatrice du Diplôme en Traduction Juridique Anglais-Espagnol à distance de l'UNAM. Sessions portent sur les études de traduction juridique, les informatiques et documentaires pour le traducteur et l'interprète, lexicographie et terminologie appliquées à la traduction, l'interprétation judiciaire.

Antoni Oliver, Université ouverte de Catalogne

Professeur agrégé d'études en lettres et sciences humaines à l'Université ouverte de Catalogne (UOC) et directeur du master en traduction et technologies de cette université. Ses principaux domaines de recherche sont la traduction automatique et la génération automatique de ressources lexicales et terminologiques.

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