Master’s in Natural Language Processing (NLP) - Robustness track
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Master’s in Natural Language Processing (NLP) - Robustness track

The Master’s in Natural Language Processing (NLP) trains experts at the intersection of computer science, linguistics, and artificial intelligence. This programme prepares students to tackle the challenges of language technologies, whether in research or industry. Through an interdisciplinary approach and strong partnerships, it provides an ideal framework for developing advanced skills in a rapidly expanding field.

Natural Language Processing (NLP), known as Traitement Automatique des Langues (TAL) in French, aims to develop computational models capable of understanding and reproducing natural languages (such as French, Arabic, Chinese, etc.), as opposed to formal languages used in programming or mathematics.

Studying NLP means taking on a scientific challenge that draws on multiple disciplines:

  • Linguistics: Understanding the rules governing a language and modelling linguistic patterns.
  • Computer Science: Developing models to convert text into data and interpret textual or spoken content.
  • Artificial Intelligence: Applying probabilistic and statistical methods, from neural networks to machine learning.
  • Formal Methods: Using logic and mathematics to solve real-world problems.

Our programme combines theoretical foundations with practical experience, equipping students with in-depth expertise while addressing the ethical challenges of this rapidly growing field.

Prerequesites Undergraduate level, 1st year graduate level
Localisation Nancy and surroundings
Type of course Face to face, Co-opt training
Associated research lab ATILF - Analyse et Traitement Informatique de la Langue Française, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Degree name Master mention Traitement Automatique des Langues parcours-type Linguistique Informatique
Internship Required
Contact(s) idmc-master-tal@univ-lorraine.fr
Schools IDMC