Plenary Speakers

Theme 1: Use of Digital Tools to Characterise Languages for Specific Purposes - Laurence Anthony (Professor of Applied Linguistics, Faculty of Science and Engineering, Waseda University)

Theme 2: Characterising Emerging Digital Genres and Digital Mediation for Discursive Genres - Stéphane Patin (Université Paris Cité, Associate Prof. in Spanish linguistics and specialised translation)

Theme 3: Teaching and Learning Languages for Specific Purposes with Digital Tools - Cédric Sarré (Sorbonne Université, INSPE de l'Académie de Paris, Associate Prof. in ESP teaching)

Theme 4: Artificial Intelligence Tools for Research and Teaching and Learning Languages for Specific Purposes and Specialised Translation - Eric Gaussier (UGA, Prof. of Computer Science at University Grenoble Alps, former scientific director of the Grenoble Interdisciplinary Institute in Artificial Intelligence), Generalization and Deep Neural Networks: The Case of Natural Language Processing and Information Retrieval

Deep neural networks, such as language models pre-trained on large text collections, currently represent the dominant paradigm in Natural Language Processing (NLP) and Information Retrieval (IR). However, there are still many questions about their performance and functionality. In particular, while they have led to significant improvements in almost all NLP and IR tasks, several studies have highlighted their limitations in terms of generalization, which are linked to their difficulty in correctly handling new collections or new tasks. We will explore these limitations in our presentation and discuss some of the approaches being considered to overcome them.