2nd year MSc
in Natural Language Processing
Goals of the 2nd year MSc in NLP
The 2nd year MSc in NLP offers specific courses applied to NLP such as neural networks, statistics, algorithms... The fourth semester is devoted to the master thesis.
Presentation of the 2nd year MSc in NLP
During the 2nd year MSc in NLP, you will follow courses on logic, statistics, linguistics, programming for NLP together with more advanced courses on NLP.
The second semester consists of a paid internship. This personal project can be carried out either in one the research centers associated with the MSc degree (ATILF or LORIA) or in the private sector.
In both cases, the project is supervised by a senior member of staff (a University lecturer or a researcher). The research project requires an original solution to a problem situated within an existing scientific domain.
About Erasmus Mundus
Our MSc degree in NLP is part of the Erasmus Mundus consortium « Language and Communication Technologies (LCT) », which acknowledges the worldwide quality of our training and its multicultural learning environment.
NLP Degree outline
And after the 2nd year MSc in NLP?
You will reach very quickly the professional life worldwide. Continuation for Ph.D. or/and research is possible.
2nd year MSc in NLP course description
DEEP LEARNING AND DATA MINING
- Neural Networks, Deep Neural Networks
- Data mining (structured data and text)
- Collaborative filtering
TEXT AND SPEECH PROCESSING
- Processing Textual Data
- Speech processing
- Terminology and ontology
NATURAL LANGUAGE PROCESSING AND DISCOURSES
- Application to texts
- Computational semantics
- Discourse and Dialog modelling
LEXICON AND GRAMMARS FOR NLP
- Diachronic and synchronic lexicology
- Lexical resources
- Syntactic framework
PROJECTS AND FOREIGN LANGUAGE
- Software project
- Law and ethics
- Research methods
- Professional integration
- Foreign language courses (French)
- Paid internship in company or research laboratory
Chercheur à la JuangXi Academy of Sciences en Chine : linguistique computationnelle et modélisation formelle de la langue naturelle.
Post-Doctorante à l'Université de Fribourg en Suisse : perception et contrôle des mouvements chez les êtres humains.
Doctorant à LUTIN à Paris : thèse sur la mesure par oculométrie et le motion tracking (enregistrement de mouvement).