Traduction juridique : limites de l’IA. Vue de la salle 404

Authors

  • ECATERINA GEORGESCU University of Bucharest Author
  • ELENA TĂNASE University of Bucharest Author

DOI:

https://doi.org/10.31178/RCSDLLF.13.5

Keywords:

AI (artificial intelligence), NMT (neural machine translation), LLM (large language models), Deep learning, legal translation

Abstract

Legal translation has a privileged position in the language industry these days, yet machine translation, however significant the advances in technology (neural translation, deep learning, AI, large language models) and despite the massive digitization of normative texts and case law, seems to perform less well precisely in this field. The aim of our research is to illustrate this dynamic
through a case study and to investigate the reasons for it.

Author Biographies

  • ECATERINA GEORGESCU, University of Bucharest

    MEFIC 1 – Master européen d’interprétation de conférence (anglais-français)

  • ELENA TĂNASE, University of Bucharest

    MEFIC1 et MTSST1 – Master en traductions spécialisées et études terminologiques (anglaisfrançais)

AHBB13_24-5

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Published

2024-11-25

Issue

Vol. 13 No. 1 (2024): REVISTA CERCURILOR STUDENŢEŞTI ALE DEPARTAMENTULUI DE LIMBA ŞI LITERATURA FRANCEZĂ

Section

Articles