Claire Gardent is a French computer scientist and linguist specializing in natural language processing, including natural language generation and machine translation. She is a director of research at the French National Centre for Scientific Research, affiliated with the Lorraine Research Laboratory in Computer Science [fr] (LORIA),^[1] She is also past chair of the European chapter of the Association for Computational Linguistics, and former editor-in-chief of the journal Traitement Automatique des Langues (Revue TAL).^[2]

Gardent was a linguistics student at the University of Toulouse, graduating in 1986. She went to the UK for graduate study, earning a master's degree in artificial intelligence from the University of Essex in 1987 and a PhD in cognitive science from the University of Edinburgh in 1991.^[3] Her doctoral dissertation, Gapping and VP ellipsis in a unification-based grammar, was jointly supervised by Ewan Klein and Robin Cooper.^[4]

After ten years as a postdoctoral researcher in the Netherlands and Germany, she joined CNRS and LORIA as a researcher in 2000.^[3] She has headed a research group on computational, formal, and field linguistics since 2019.^[1]

Gardent is the coauthor of books including:

• Techniques d'analyse et de génération pour la langue naturelle (with Karine Baschung, Editions Adosa, 1995)^[5]
• Deep Learning Approaches to Text Production (with Shashi Narayan, Morgan & Claypool, 2020).^[6]

In 2022 she won the CNRS Silver Medal.^[1]

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