Computational linguistics
Track directors: François Yvon (CNRS / Sorbonne Université) et Benoît Crabbé (Université Paris Cité)
Capacity: 10
General organization
The master’s student must register to one of the tracks. These tracks ensure the acquisition of genuine expertise in the concepts, methods, and techniques specific to each discipline, enhancing the clarity of skills associated with the diploma. The program establishes a common cultural foundation from the first year (M1) through a core curriculum and introductory courses to the different disciplines. In the second year (M2), the majority of courses are fully interdisciplinary and open to students from all tracks. Our goal is to cultivate cognitivists equipped with both robust disciplinary expertise and a broad interdisciplinary culture, essential elements for fostering meaningful collaboration across disciplines.
M1 – Semester 1
Master core curriculum
CORE-102 Data camp (3 ECTS)
CORE-103 How to write a literature review? (3 ECTS), Jonathan Vacher
CORE-104 Ethics in cognitive sciences (3 ECTS), Katie Evans, Anouk Barberousse, Raja Chatila
Track core curriculum
LING-101Introduction au Traitement Automatique des Langues (in French) (3 ECTS), Guillaume Wisniewski
LING-102Machine Learning for Natural Language Processing 2 (6 ECTS), Marie Candito
Options : 3 ECTS among these options
NEURO-101Introduction to Cognitive Neurocience (3 ECTS), Claire Sergent, Pierre Bourdillon
PHILO-101 Scientific reasoning (5 ECTS), Isabelle Drouet
NCIA-101 Introduction to Computational Neuroscience and AI (3 ECTS), Mehdi Khamassi, Benoît Girard
PSYCH-201 Introduction to Cognitive Psychology (3 ECTS), Thérèse Collins
Options : 6 ECTS among these options
LING-103 Bases Formelles du Traitement Automatique des Langues 3 (3 ECTS), Benoît Crabbé
LING-104 Phonetics (3 ECTS)
LING-105 Theoretical morphology (3 ECTS), Olivier Bonami
LING-106 New Syntactic Theories (3 ECTS), Anne Abeille
LING-107 Semantic Analysis (3 ECTS, Lucia Tovena
LING-108 Phonology (3 ECTS), Jalal Al Tamimi
M1 – Semester 2
Master core curriculum
CORE-101 Experimental approach (3 ECTS), Christophe Pallier, Mark Wexler
CORE-102 Data camp (3 ECTS)
Track core curriculum
LING-201 Machine Learning for Natural Language Processing 1 (6 ECTS), Guillaume Wisniewski
LING-202 Computational semantics (6 ECTS), Timothée Bernard
LING-203 Traitement de la parole (in French) (6 ECTS), Nicolas Obin
Options : 12 ECTS among these options
INT-201 Internship (1 day/week) (6 ECTS)
LING-204 Experimental phonology (3 ECTS)
LING-205 Advanced morphology (3 ECTS), Olivier Bonami
LING-206 Advanced experimental syntax (3 ECTS), Anne Abeille
LING-207 Advanced semantics (3 ECTS), Lucia Tovena
INFO-SU-201 Base du Traitement des images (in French) (6 ECTS), Dominique Béréziat
INFO-SU-203 Interfaces Humain-Machine (in French) (6 ECTS), Gilles Bailly, Baptiste Caramiaux
M2 – Semester 3
Master core curriculum
INT-301 Internship preparation (1 day/week) (6 ECTS)
Options : 24 ECTS among these options
LING-301 Computational language modeling and cognition (6 ECTS), Benoît Crabbé
LING-302 Topic modeling (3 ECTS), François Yvon
LING-303 Typology and Field Linguistics (3 ECTS), Otto Zwartjes
LING-304 Non Indo European linguistics (3 ECTS), Patrick Caudal
LING-305 Topics in phonology (3 ECTS), Iona Chitoran
LING-306 Topics in prosody (3 ECTS), Philippe Martin, Hiyon Yoo
LING-307 Speech perception (3 ECTS), Hiyon Yoo
LING-308 Psycholinguistics (3 ECTS), Barbara Hemforth
LING-309 Multilingual Natural Language Processing and Machine Translation (3 ECTS), Guillaume Wisniewski
LING-310 Current topics in Natural Language Processing (3 ECTS), Timothée Bernard
LING-311 Formal languages and parsing (3 ECTS), Timothée Bernard
LING-312 Invited lecture – 1
LING-313 Invited lecture – 2
LING-314 Invited lecture – 3
LING-315 Invited lecture – 4
LING-316 Invited lecture – 5
MVA-301 Algorithms for speech and natural language processing (6 ECTS), Emmanuel Dupoux
INFO-SU-302 Large Language Models (3 ECTS), Benjamin Piwowarski, Laure Soulier
M2 – Semester 4
Master core curriculum
INT-401 Internship (full time) (30 ECTS)