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<p>[sorry for cross-posting]</p>
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NEW M.Sc. Program in Natural Language Processing (NLP) and Data
Science<br class="">
Université de Lorraine, Nancy (France)<br class="">
<br class="">
<br class="">
The Institute of Digital science, Management and Cognition <br
class="">
is opening a a new Masters Program in NLP - <br class="">
Computer Sciences, Speech, Language and Knowledge Representation<br
class="">
<br class="">
**************<br class="">
<a
href="http://institut-sciences-digitales.fr/idmc-master-degree-in-natural-language-processing/"
class="">http://institut-sciences-digitales.fr/idmc-master-degree-in-natural-language-processing/</a><br
class="">
**************<br class="">
<br class="">
So you want to be a specialist in Neural Networks, Logic, Speech <br
class="">
Processing, Information Retrieval, Knowledge Representation ...
all <br class="">
for Natural Language? Well, now's your chance!<br class="">
<br class="">
Natural Language Processing (NLP) lies at the crossroads of <br
class="">
linguistics, computer science and artificial intelligence. This<br
class="">
Masters Program offers<br class="">
a modern curriculum which combines the different <br class="">
approaches, and covers both theoretical and applied perspectives.<br
class="">
<br class="">
<br class="">
In each semester, the program includes a hands-on project. <br
class="">
It ends with a 6-month paid internship in a company or a research <br
class="">
lab. You can find the course description below.<br class="">
<br class="">
<br class="">
----------------------------------------------------------------------------------------<br
class="">
You can apply to directly enter at either the first year or second
year level.<br class="">
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class="">
<br class="">
Language<br class="">
-------------<br class="">
All courses are taught in English<br class="">
(except the "French for non-native Speakers" class).<br class="">
<br class="">
<br class="">
Fees<br class="">
-------<br class="">
The University of Lorraine is publicly funded and thus offers <br
class="">
tuition-free education for all students including students from <br
class="">
both inside and outside EU/EEA/EFTA countries. The only student <br
class="">
expenditures are a nominal semester fee of about 600 euros which <br
class="">
includes health insurance. Nancy’s high quality of life goes <br
class="">
hand-in-hand with a low cost of living.<br class="">
<br class="">
Why Nancy?<br class="">
---------------<br class="">
Nancy is a center of excellence for NLP. It can boast of:<br
class="">
<br class="">
1/Two important research units:<br class="">
- LORIA, the computer science research laboratory <a
href="http://www.loria.fr/en/" class="">http://www.loria.fr/en/</a><br
class="">
- ATILF the linguistic research laboratory lab <a
href="http://www.atilf.fr/" class="">http://www.atilf.fr/</a><br
class="">
<br class="">
Both research units participate in many national and <br class="">
international research projects. Their members are highly <br
class="">
visible in the international community and regularly publish <br
class="">
in the most prestigious conferences and journals of the field.<br
class="">
<br class="">
2/ Two Erasmus Mundus Masters funded by the European Union : <br
class="">
- Erasmus Mundus Master Language and Communication <br class="">
Technology (LCT) <a href="http://lct-master.org/" class="">http://lct-master.org/</a><br
class="">
- Erasmus Mundus Master EMLex.<br class="">
<a href="https://www.emlex.phil.fau.eu/" class="">https://www.emlex.phil.fau.eu/</a><br
class="">
<br class="">
<br class="">
Why NLP?<br class="">
--------------<br class="">
Natural Language Processing is a rapidly expanding field.<br
class="">
<br class="">
With the proliferation of digital data, there is a massive need <br
class="">
for well-trained engineers and researchers able to exploit this <br
class="">
data for commercial (for example: e-commerce, recommendation <br
class="">
systems and translation) and socio-political (for example: <br
class="">
e-learning, opinion mining, and behavioural predictions) purposes.<br
class="">
<br class="">
Start-ups, small firms with strong R&D profiles and large
companies <br class="">
(in France this includes Airbus, Thales, EDF, and Orange) are <br
class="">
looking for scientists and engineers who can contribute to the <br
class="">
development of systems capable of managing and exploiting textual <br
class="">
data.<br class="">
<br class="">
The GAFAM (Google, Amazon, Facebook, Apple, Microsoft) also
recruit <br class="">
intensively in both the NLP and the Speech processing domain.<br
class="">
<br class="">
There is also a strong need for Ph.D. candidates in the field, as <br
class="">
is demonstrated by the many Ph.D. proposals in both the public
and <br class="">
the industrial domain.<br class="">
<br class="">
<br class="">
<br class="">
Contacts<br class="">
------------<br class="">
Head of the Nancy NLP Master : Maxime Amblard<br class="">
<a href="mailto:maxime.amblard@univ-lorraine.fr" class="">maxime.amblard@univ-lorraine.fr</a><br
class="">
Secretary : Karine Weisse<br class="">
<a href="mailto:karine.weisse@univ-lorraine.fr" class="">karine.weisse@univ-lorraine.fr</a><br
class="">
<br class="">
Location of the courses : <br class="">
École des Mines (Artem Campus, Tram stop "Blandan")<br
class="">
<a href="http://www.alliance-artem.fr/" class="">http://www.alliance-artem.fr/</a><br
class="">
<br class="">
<br class="">
Application<br class="">
---------------<br class="">
The application file is available here:<br class="">
<a href="https://ecandidat.univ-lorraine.fr/" class="">https://ecandidat.univ-lorraine.fr</a><br
class="">
<br class="">
follow : <br class="">
<span class="Apple-tab-span" style="white-space:pre"> </span>-
Institut des sciences du digital, management et cognition <br
class="">
<span class="Apple-tab-span" style="white-space:pre"> </span>-
Master<br class="">
<span class="Apple-tab-span" style="white-space:pre"> </span>-
M1-Traitement Automatique des Langues (TAL) (NANCY) (FI)<br
class="">
<span class="Apple-tab-span" style="white-space:pre"> </span> or<br
class="">
<span class="Apple-tab-span" style="white-space:pre"> </span>-
M2-Traitement Automatique des Langues (TAL)<br class="">
<br class="">
More information: <br class="">
<a
href="http://institut-sciences-digitales.fr/application-process-nlp-master-degree/#application"
class="">http://institut-sciences-digitales.fr/application-process-nlp-master-degree/#application</a><br
class="">
<br class="">
<br class="">
Academic Year 2018-2019<br class="">
-----------------------------------<br class="">
From 3rd to 13th September 2018: Refresher courses in <br class="">
mathematics (probability theory and statistics) and computer <br
class="">
science (algorithms and programming).<br class="">
<br class="">
M1: <br class="">
1st semester from September 17th to January 11th<br
class="">
2nd semester from January 14th to June 6th<br class="">
M2:<br class="">
1st semester from September 17th to February 15th<br
class="">
Internship from February to August<br class="">
<br class="">
<br class="">
In brief<br class="">
----------<br class="">
• A program with strong national and international visibility<br
class="">
• Taught entirely in English<br class="">
• A high quality research environment with two research centers <br
class="">
covering a wide range of disciplines (linguistics, computer <br
class="">
science, speech and language processing) and applications <br
class="">
(human-machine interfaces, speech processing, knowledge <br
class="">
extraction, statistical machine translation, etc.)<br class="">
• Studies in a vibrant, human-size city<br class="">
• Low cost study (tuition fees at around 600 euros per year, <br
class="">
including health insurance)<br class="">
<br class="">
<br class="">
Courses Description<br class="">
---------------------------<br class="">
M1 Semester 1<br class="">
---------------------------<br class="">
PROBABILITIES, STATISTICS AND ALGORITHMS FOR AI<br class="">
• Elementary mathematical tools, statistics, algorithms<br
class="">
<span class="Apple-tab-span" style="white-space:pre"> </span>to
define and solve artificial intelligence problem<br class="">
• Case study approach towards mastering both theoretical <br
class="">
<span class="Apple-tab-span" style="white-space:pre"> </span>and
practical aspects of a topic<br class="">
<br class="">
DESIGN AND ACQUISITION OF CORPORA<br class="">
• Written corpora<br class="">
• Speech corpora<br class="">
<br class="">
SOFTWARE ENGINEERING<br class="">
• Collecting, analysing and formalizing customers' needs<br
class="">
• Software design and development<br class="">
• Functional analysis and specifications<br class="">
• Project management<br class="">
<br class="">
LINGUISTICS FOR NLP (1)<br class="">
• Methods for Natural Language Processing<br class="">
• Phonology<br class="">
• Morphology<br class="">
<br class="">
PROJECT AND FOREIGN LANGUAGE<br class="">
• Hands-on project<br class="">
• Foreign language (French)<br class="">
<br class="">
---------------------------<br class="">
M1 Semester 2<br class="">
---------------------------<br class="">
<br class="">
MACHINE LEARNING AND SEMANTIC WEB <br class="">
• Machine learning theory<br class="">
• Data mining<br class="">
• Knowledge extraction<br class="">
<br class="">
FORMAL TOOLS<br class="">
• Logic<br class="">
• Formal languages<br class="">
• Calculability and complexity<br class="">
<br class="">
DATA PROCESSING<br class="">
• Storage and retrieval<br class="">
• Data analysis<br class="">
<br class="">
LINGUISTICS FOR NLP (2)<br class="">
• Lexicology : lexical units and phraseology<br class="">
• Syntax<br class="">
• Semantics<br class="">
<br class="">
PROJECT AND FOREIGN LANGUAGE<br class="">
• Hands-on project<br class="">
• Scientific communication<br class="">
• Foreign Language (French)<br class="">
---------------------------<br class="">
M2 Semester 1<br class="">
---------------------------<br class="">
DEEP LEARNING AND DATA MINING<br class="">
• Neural Networks, Deep Neural Networks<br class="">
• Data mining (structured data and text)<br class="">
• Collaborative filtering<br class="">
<br class="">
TEXT AND SPEECH PROCESSING<br class="">
• Processing Textual Data<br class="">
• Speech processing<br class="">
• Terminology and ontology<br class="">
<br class="">
NATURAL LANGUAGE PROCESSING AND DISCOURSES<br class="">
• Application to text<br class="">
• Computational semantics<br class="">
• Discourse and Dialog modeling<br class="">
<br class="">
LEXICONS AND GRAMMARS FOR NLP<br class="">
• Diachronic and synchronic lexicology<br class="">
• Lexical resources<br class="">
• Syntactic framework<br class="">
<br class="">
PROJECTS AND FOREIGN LANGUAGE<br class="">
• Software project<br class="">
• Law and ethics<br class="">
• Research methods<br class="">
• Professional integration<br class="">
• Foreign language courses (French)<br class="">
<br class="">
---------------------------<br class="">
M2 Semester 2<br class="">
---------------------------<br class="">
Paid internship (company or research lab)</div>
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