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M.Sc. Program in Natural Language Processing (NLP) and Data Science
Université de Lorraine, Nancy (France)
The Institute of Digital Sciences, Management and Cognition
is opening a Masters Program in NLP –
Computer Science, Speech, Language and Knowledge Representation
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So you want to be a specialist in Neural Networks, Logic, Speech
Processing, Information Retrieval, Knowledge Representation… all
for Natural Language? Well, now’s your chance!
Natural Language Processing (NLP) lies at the crossroads of
linguistics, computer science and artificial intelligence. This
Masters Program offers a modern curriculum which combines the
different approaches, and covers both theoretical and applied
perspectives.
In each semester, the program includes a hands-on project.
It ends with a 6-month paid internship in a company or a research
lab. You can find the course description below.
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You can apply to directly enter at either the first year (M1) or second year (M2) level.
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Language
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All courses are taught in English
(except the « French for non-native speakers » class).
Fees
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The University of Lorraine is publicly funded and thus offers
tuition-free education for many students including students
from the EU (243 € cost per year). The tuition fee for students
from other nations arriving in France at the beginning of
the 2019 academic year will be 3.770 € per year.
Find more information here:
https://www.campusfrance.org/en/tuition-fees-France
Nancy’s high quality of life goes hand-in-hand with a low cost
of living.
Why Nancy?
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Nancy is a center of excellence for NLP. It can boast of:
1/Two important research units:
– LORIA, the computer science research laboratory http://www.loria.fr/en/
– ATILF the linguistic research laboratory http://www.atilf.fr/
Both research units participate in many national and
international research projects. Their members are highly
visible in the international community and regularly publish
in the most prestigious conferences and journals of the field.
2/ Two Erasmus Mundus Masters funded by the European Union :
– Erasmus Mundus Master Language and Communication
Technology (LCT) http://lct-master.org/
– Erasmus Mundus Master EMLex.
https://www.emlex.phil.fau.eu/
Why NLP?
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Natural Language Processing is a rapidly expanding field.
With the proliferation of digital data, there is a massive need
for well-trained engineers and researchers able to exploit this
data for commercial (for example: e-commerce, recommender
systems and translation) and socio-political (for example:
e-learning, opinion mining, and behavioural predictions) purposes.
Start-ups, small firms with strong R&D profiles and large companies
(in France this includes Airbus, Thales, EDF, Orange, etc.) are
looking for scientists and engineers who can contribute to the
development of systems capable of managing and exploiting textual
data.
The GAFAM (Google, Amazon, Facebook, Apple, Microsoft) also recruit
intensively in both the NLP and the Speech processing domain.
There is also a strong need for Ph.D. candidates in the field, as
demonstrated by the many Ph.D. proposals in both the public and
the industrial domain.
Contacts
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Head of the Master program: Maxime Amblard
maxime.amblard@univ-lorraine.fr
Secretary: Karine Weisse
karine.weisse@univ-lorraine.fr
Location of the courses:
École des Mines (Artem Campus, Tram stop « Blandan »)
http://www.alliance-artem.fr/
Application
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Non-European students
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Students from most non-UE countries shall apply on
https://pastel.diplomatie.gouv.fr/etudesenfrance/dyn/public/authentification/login.html?_csrf=a530f0a6-e1d3-4052-ba91-f2cb8029fcd8&codeLangue=EN
(search Traitement Automatique des Langues Nancy)
Students from other non-EU countries can directly apply with the following file:
http://institut-sciences-digitales.fr/applicationfilem-sc_-nlp19-20/
European students
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The application file for EU students is available here:
https://ecandidat.univ-lorraine.fr
Create an account then follow:
– Offre de formation
– Institut des sciences du digital, management et cognition
– Master
– M1-Traitement Automatique des Langues (TAL) (NANCY) (FI)
or
– M2-Traitement Automatique des Langues (TAL) PT Informatique, langue, parole et connaissances (NANCY) (FI)
More information:
Academic Year 2019-2020
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From 3rd to 13th September 2019: Refresher courses in
mathematics (probability theory and statistics) and computer
science (algorithms and programming).
M1:
1st semester from September 2nd to January 10th
2nd semester from January 13th to June 5th
M2:
1st semester from September 2nd to March 27th
Internship from February to August
In brief
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• A program with strong national and international visibility
• Taught entirely in English
• A high quality research environment with two research centers
covering a wide range of disciplines (linguistics, computer
science, speech and language processing) and applications
(human-machine interfaces, speech processing, knowledge
extraction, statistical machine translation, etc.)
• Studies in a vibrant, human-size city
Course Description
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M1 Semester 1
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PROBABILITIES, STATISTICS AND ALGORITHMS FOR AI
• Elementary mathematical tools, statistics, algorithms
to define and solve artificial intelligence problems
• Case study approach towards mastering both theoretical
and practical aspects of a topic
DESIGN AND ACQUISITION OF CORPORA
• Written corpora
• Speech corpora
SOFTWARE ENGINEERING
• Collecting, analysing and formalizing customers’ needs
• Software design and development
• Functional analysis and specifications
• Project management
LINGUISTICS FOR NLP (1)
• Methods for Natural Language Processing
• Phonology
• Morphology
PROJECT AND FOREIGN LANGUAGE
• Hands-on project
• Foreign language (French)
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M1 Semester 2
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MACHINE LEARNING AND SEMANTIC WEB
• Machine learning theory
• Data mining
• Knowledge extraction
FORMAL TOOLS
• Logic
• Formal languages
• Calculability and complexity
DATA PROCESSING
• Storage and retrieval
• Data analysis
LINGUISTICS FOR NLP (2)
• Lexicology : lexical units and phraseology
• Syntax
• Semantics
PROJECT AND FOREIGN LANGUAGE
• Hands-on project
• Scientific communication
• Foreign language (French)
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M2 Semester 1
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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 DISCOURSE
• Application to text
• Computational semantics
• Discourse and Dialog modeling
LEXICONS 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 (French)
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M2 Semester 2
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Paid internship (company or research lab)
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Maxime Amblard
Université de Lorraine
https://members.loria.fr/mamblard
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