Automatic language processing
Here you'll find all the research relating to automatic language processing carried out at CNRS Humanities & Social Sciences and its laboratories.
Automatic Language Processing (ALP) is a multidisciplinary field that involves linguistics, computer science and artificial intelligence. Its aim is to create tools for processing text and speech (including signed speech) for various applications. ALP combines contributions from computational linguistics - rule-based language models - and statistical, machine learning and deep learning methods. It is one of Artificial Intelligence's major fields of application.
Research into automatic language processing facilitates the design of computer programmes that translate texts, respond to requests, synthesise large quantities of content and generate texts from various information sources. ALP research is increasingly involved in societal issues relating more broadly to information processing like security, medicine, education, the media and communication, scientific information and the cultural and creative industries.
Research centers and networks
CNRS Humanities & Social Sciences laboratories
- Analyse et Traitement de la Langue Française (ATILF)
- Cognition, Langues, Langage, Ergonomie (CLLE)
- Dynamique du Langage (DDL)
- Laboratoire de Linguistique Formelle (LLF)
- Laboratoire Ligérien de Linguistique (LLL)
- Langues et Civilisations à Tradition Orale (LACITO)
- Langues, Textes, Traitements Informatiques, Cognition (Lattice)
- Litt&Arts
- Modèles, Dynamiques, Corpus (MODYCO)
Co-steered laboratories
Innovation and outreach
- BUNKA - Institut Jean Nicod (IJN)
- ORTOLANG - Analyse et Traitement Informatique de la Langue Française (ATILF)