Research Areas

The research areas of the Languages ​​and Artificial Intelligence Research and Study Group (GRÉLIA) are organized according to a resolutely interdisciplinary approach, at the interface of humanities and computer sciences. Each area draws on expertise from the fields of linguistics, communication sciences, and computer science to explore the challenges raised by the integration of artificial intelligence into natural language processing.

Area 1: Language Teaching and Learning Assisted by Artificial Intelligence

This first area examines the contributions of AI technologies to language-related teaching programs. It explores how AI can support the individualization of learning pathways, improve assessment tools, and facilitate language acquisition through conversational agents, adaptive platforms, and automated correction systems. The analysis also focuses on how these tools fit into multilingual contexts, with particular attention paid to equity of access and adaptability to different learner profiles.

Area 2: AI-Assisted Translation and Interpreting

This area focuses on the development of neural translation systems and the challenges posed by their integration in professional contexts. The objective is to evaluate their performance in specialized fields, measure their ability to take into account the cultural and pragmatic dimensions of texts, and consider their complementarity with human expertise. Research also focuses on the impact of these tools on translation and interpreting practices, both in terms of quality and working conditions.

Area 3: Intelligent Discourse and Speech Analysis

This area uses natural language processing techniques to analyze oral and written corpora from diverse contexts. It highlights how AI systems can contribute to the study of discursive structures, argumentative strategies, emotional expressions, and social interactions. Specific applications include institutional, media, and clinical discourse, with particular attention to language signals that indicate vulnerabilities or social representations.

Area 4: Automatic Language Understanding and Ethical Issues

This final area examines the current limitations of AI systems in their ability to understand human language in a contextual, subtle, and nuanced manner. It draws on contributions from linguistics, the philosophy of language, and ethics to assess the implications of these technologies in terms of bias, respect for personal data, and accountability in their use. The objective is to propose theoretical and practical frameworks enabling a more transparent, inclusive, and responsible development of language applications of artificial intelligence.

By combining these four axes, GRÉLIA’s work aims to develop a detailed and contextualized understanding of the interactions between human language and intelligent systems, while contributing to the development of responsible, inclusive and scientifically based practices in the field of artificial intelligence applied to languages.