Objectives of Programme's Learning Outcomes

• Thematic Skills
• thoroughly understand the fundamental principles of artificial intelligence in the field of languages, literature and translation;
• understand the epistemological approaches and methodological tools relating to AI issues in the field of languages, literature and translation;
• 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;
• 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 this training, students will be able to acquire the thematic, ethic, professional and technological skills mentioned in the objectives above.

UE Content: description and pedagogical relevance

This course will help students how to use chatbots like ChatGPT and other AI tools effectively for text analysis and synthesis. Large Language Models and Natural Language Processing can be useful tools to understand and process language through AI.
AI makes it possible to generate semantic analysis of words in context, analyze the syntax of texts or carry out studies based on Sentiment Analysis. AI can also be used as a concordancer.
Linguistic synthesis makes it possible de sum up much information, generate linguistic content from prompts with register variation, for example. Proper use of these tools and techniques should be applied carefully. We'll analyze AI erroneous content to emphasize the need of critical use of AI.

Prior Experience

See the basic requirements to follow the Master de spécialisation.