Formation's goal
Career opportunities
To meet the constantly growing needs of companies and laboratories of research and development into high-level specialists with a perfect command of the linguistic models and formalisms to be able to deal with issues related to automatic language processing with its various fields of application: research information and search engines, syntax and semantics of texts, generation and automatic translation, etc. This training aims to meet training needs in the field of
language engineering to supply both our various research laboratories and those of other academic and industrial bodies as specialists in this field.
At the end of his training, the winner will have a mastery of the field of language processing. the Trained laureate will have knowledge in all application areas related to TAL. His profile will offer a high degree of employability in several sectors and allows it to enter on the same level both in economic and research sectors
Master's program in Automatic Language Processing
Download : The Canvas
1st year
1 semester
S1 | CM | TD | TP | Credits | coefficient | link to course |
Teaching unit : Fundamental EU | ||||||
General Linguistics (Phonology and Morphosyntax) |
1.5 | 1.5 | 0 | 4 | 3 | link |
Articulatory Phonetics and Acoustics |
1.5 | 0 | 1.5 | 4 | 3 | link |
Introduction to the theory of formal languages |
1.5 | 1.5 | 1.5 | 5 | 4 | link |
Algorithms and programming 1 |
1.5 | 0 | 1.5 | 4 | 3 | link |
Teaching unit : EU methodology | ||||||
Applied Maths |
1.5 | 1.5 | 0 | 4 | 3 | link |
Programming Language (Matlab, C, C++, Java) |
1.5 | 0 | 1.5 | 4 | 3 | link |
Teaching unit : EU discovery | ||||||
Teaching unit : transversal unit | ||||||
Technical English |
2 | 0 | 0 | 1 | 1 | link |
2 semester
S2 | CM | TD | TP | Credits | coefficient | link to course |
Teaching unit : Fundamental EU | ||||||
Modern linguistic theories and neo-Khalilian theory |
1.5 | 1.5 | 0 | 4 | 3 | link |
Introduction to formal language theory 2 (language theories and advanced automata) |
1.5 | 1.5 | 1.5 | 4 | 4 | link |
Database 1 |
1.5 | 1.5 | 1.5 | 4 | 4 | link |
Introduction to NLP |
1.5 | 0 | 1.5 | 4 | 3 | link |
Algorithms and programming 2 |
1.5 | 0 | 1.5 | 4 | 3 | link |
Teaching unit : EU methodology | ||||||
Pattern recognition |
1.5 | 0 | 1.5 | 4 | 2 | link |
Information search1 |
1.5 | 0 | 0 | 2 | 1 | link |
Teaching unit : transversal unit | ||||||
Tongue Pathology |
1.5 | 0 | 0 | 2 | 1 | link |
NLP and mutilinguism |
1.5 | 0 | 0 | 2 | 1 | link |
2nd year
3 semester
S3 | CM | TD | TP | Credits | coefficient | link to course |
Teaching unit : Fundamental EU | ||||||
Linguistic formalisms applied to neo-Khalilian theory |
1.5 | 1.5 | 1.5 | 5 | 4 | link |
Algorithms and linguistic modeling |
1.5 | 1.5 | 1.5 | 5 | 4 | link |
Database2 |
1.5 | 1.5 | 1.5 | 5 | 4 | link |
Advanced NLP (approaches, corpus,…) |
1.5 | 0 | 1.5 | 4 | 3 | link |
Computability |
1.5 | 0 | 1.5 | 4 | 3 | link |
Teaching unit : EU methodology | ||||||
Information search2 |
1.5 | 0 | 1.5 | 3 | 2 | link |
Teaching unit : EU discovery | ||||||
Teaching unit : transversal unit | ||||||
Syntax, text semantics, lexicology, terminology and dictionary |
1.5 | 0 | 1.5 | 4 | 3 | link |
4 semester
The S4 semester is reserved for an internship or an initiation to research, culminating in a dissertation and a defense.
Production and defense of a dissertation with an overall hourly volume of 368 hours. Internship in a company sanctioned by a dissertation and a defence.
VHS | coefficient | Credits | |
Memo | 375 h | 1 | 30 |
Total Semester 4 | 375 h | 11 | 30 |