The student does not only have theoretic knowledge of the topics under consideration but also practical hands-on experience.
This course studies language from the perspective of artificial intelligence, focusing on its role in communication. In essence, we will investigate how artificial agents are able to (learn to) understand the meaning underlying natural language utterances (comprehension), as well as express their ideas in the form of linguistic expressions (production). We examine how linguistic knowledge can be described in terms of form-meaning correspondences and how these correspondences can be formalized and implemented.
We will examine a range of well-known AI concepts and techniques, including knowledge representation, search-based problem solving, unification, meta-level architectures, and computational reflection.
Hands-on exercises about the topics handled during the lectures.
Software to install: FCG Editor (https://www.fcg-net.org/download)
Syllabus:
- Beuls, K., & Van Eecke, P. (2023). Natural Language Processing -- Course reader. [service de reprographie UNamur]
- Slides available through Webcampus