Objectives of Programme's Learning Outcomes

• Thematic Skills
• apply the relevant analytical approaches and appropriate methodological tools for rigorous, in-depth and comparative analysis of problems related to AI, particularly generative AI, in written and audiovisual translation;
• develop an interdisciplinary and multi-scale approach that integrates complementary disciplines such as information technology and linguistics.
• Ethical and Professional Skills
• take a critical and ethical look at the challenges of AI, particularly with regard to data protection and confidentiality;
• combine reflection, research and action in order to design and carry out a professional project structured around an innovative project.
• Technological Skills
• use familiar translation tools and applications specific to their sub-fields;
• adapt to new tools and evaluate their possibilities and limitations;
• update their technological know-how and use it for professional purposes.

Learning Outcomes of UE

At the end of the course, students will be able to produce professional-quality subtitling assisted by artificial intelligence.

UE Content: description and pedagogical relevance

AI-assisted subtitling exercises on various (browser- and computer-based) platforms. Overview of professional standards in subtitling.

Prior Experience

Proficiency in frequent CAT tools, such as the SDL suite, memoQ, etc.