Master of Science Degree in NLP (Natural Language Processing) #3
Contenu
identifierCatalog
ULTv
Titre
Master of Science Degree in NLP (Natural Language Processing) #3
Description
Présentation du MASTER TAL par ses étudiants.
Studying NLP is studying linguistics (what are the rules defining a language?), computer science (How to program models which can convert data into text or vice versa, or which can interpret the content of a text ?) and formal approaches (probability theory, statistics).
NLP has many applications: machine translation, human-machine dialogue, summarization, opinion detection (e.g. is the author of a text for or against Brexit?), computer aided language learning (e.g., automatic generation of exercices for language learning), text simplification to facilitate access to content etc.
NLP is a strongly expanding field which addresses fascinating scientific challenges (how to model natural language?) and offers a wide range of career opportunities in research, teaching and industry.
Studying NLP is studying linguistics (what are the rules defining a language?), computer science (How to program models which can convert data into text or vice versa, or which can interpret the content of a text ?) and formal approaches (probability theory, statistics).
NLP has many applications: machine translation, human-machine dialogue, summarization, opinion detection (e.g. is the author of a text for or against Brexit?), computer aided language learning (e.g., automatic generation of exercices for language learning), text simplification to facilitate access to content etc.
NLP is a strongly expanding field which addresses fascinating scientific challenges (how to model natural language?) and offers a wide range of career opportunities in research, teaching and industry.
Créateur
Université de Lorraine
Date de création
2021
technicalLocation
taxonId
659
378
401
410
taxonEntry
Publicité et relations publiques
Enseignement supérieur
Philosophie et théorie des langues (philosophie du langage)
Linguistique - Systèmes d'écriture
Sujet
étude supérieure
philosophie
théorie des langues
modèle informatique
langues naturelles
langues artificielles
automatique
traitement automatique des langues
Couverture
France
Lorraine
Nancy
21e siècle
Date de soumission
avril 2021
Date de publication
07/04/2021
Type
Image en mouvement
educationalContext
Licence
Master
educationalTypicalLearningTime
0:01:26
educationalInteractivityType
Clips de présentation
technicalDuration
0:01:26
Langue
fr
en
lifeCycleStatus
Final
Format des sous-titres
sous-titres incrustés
Format
mp4
technicalSize
34427050
Identifiant
M-20210407-02
Contributeur
Université de Lorraine
Editeur
Université de Lorraine
copyrightAndOtherRestrictions
OUI
Type de licence
CC-BY-NC-SA 4.0
Coût
FRE
non
Notion RAMEAU
Traitement automatique du langage naturel
Linguistique -- Informatique
Intelligence artificielle