Recent developments in “deep learning” by which a device based on neural networks imitating those of the human brain learns through data, have enabled artificial intelligence to be used more and more in research. In the linguistic field, AI has found its major application in the language industry for various purposes, such as translation or language learning. The advent of generative intelligence, capable of generating texts, images or videos, after the launch of CHATGPT in November 2022 has only contributed to its diffusion. However, these developments raise many questions in relation to the corpus used for deep learning in terms of preserving linguistic diversity. It is precisely these questions that are at the heart of this issue of Langages

(2025). Intelligence artificielle, corpus et diversité linguistique: enjeux et perspectives. Introduction [journal article - articolo]. In LANGAGES. Retrieved from https://hdl.handle.net/10446/297313

Intelligence artificielle, corpus et diversité linguistique: enjeux et perspectives. Introduction

Tonti, Michela
2025-01-01

Abstract

Recent developments in “deep learning” by which a device based on neural networks imitating those of the human brain learns through data, have enabled artificial intelligence to be used more and more in research. In the linguistic field, AI has found its major application in the language industry for various purposes, such as translation or language learning. The advent of generative intelligence, capable of generating texts, images or videos, after the launch of CHATGPT in November 2022 has only contributed to its diffusion. However, these developments raise many questions in relation to the corpus used for deep learning in terms of preserving linguistic diversity. It is precisely these questions that are at the heart of this issue of Langages
articolo
2025
Les évolutions récentes dans l’« apprentissage profond » (deep learning), par lequel un dispositif basé sur des réseaux neuronaux imitant ceux du cerveau humain apprend par le biais des données, ont permis à l’intelligence artificielle de connaître un essor considérable dans tous les domaines de la recherche. En linguistique, l’IA a trouvé son application majeure dans l’industrie des langues à des fins diverses comme la traduction ou l’apprentissage des langues. L’avènement de l’intelligence générative, capable de générer des textes, images ou vidéos, après le lancement de CHATGPT en novembre 2022, n’a fait que contribuer à sa diffusion. Toutefois, ces évolutions soulèvent de nombreuses questions concernant les corpus utilisés pour l’apprentissage profond et la préservation de la diversité linguistique. Ce sont ces questionnements qui sont au coeur de ce numéro de Langages
Raus, Rachele; Tonti, Michela
(2025). Intelligence artificielle, corpus et diversité linguistique: enjeux et perspectives. Introduction [journal article - articolo]. In LANGAGES. Retrieved from https://hdl.handle.net/10446/297313
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