Faculty of Sciences

Master in Automatic Language Processing

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