 | Study programme 2025-2026 | Français | |
| AI applied to linguistic analysis and synthesis | |||
Learning Activity |
| Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) | Establishment |
|---|---|---|---|---|
| T-FRAN-706 |
|
|
| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
|---|---|---|---|---|---|---|---|
| Français | Français | 13 | 13 | 34 | 0 | 0 | Q1 |
Content of Learning Activity
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.
Required Learning Resources/Tools
Not applicable
Recommended Learning Resources/Tools
Not applicable
Other Recommended Reading
Not applicable
Mode of delivery
- Face-to-face
Type of Teaching Activity/Activities
- Cours magistraux
- Conférences
- Travaux pratiques
- Exercices de création et recherche en atelier
- Etudes de cas
- Projets supervisés
Evaluations
The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)
Location of learning activity
- Université de Mons - Mons
Location of assessment
- Université de Mons - Mons