Course Details

Course Name
M.Sc. Program in Natural Language Processing (NLP)
Course Type
Master Programme
Institution
Université de Lorraine
Department
Institute of Digital science, Management and Cognition
Information
http://institut-sciences-digitales.fr/idmc-master-degree-in-natural-language-processing/
Curriculum
http://institut-sciences-digitales.fr/idmc-master-degree-in-natural-language-processing/
Status
record actively maintained
Course Language
English
Start Date
2018-09-01
recurring
ECTS
60
Lecturer
Maxime Amblard
PID
Disciplines: Cognitive Science, Computer Science, Human Language Technologies, Linguistics and Language Studies
Techniques: Browsing, Cluster Analysis, Concordancing, Debugging, Encoding, Gamification, Information Retrieval, Linked Open Data, Machine Learning, Named Entity Recognition, Pattern Recognition, POS-Tagging, Preservation Metadata, Principal Component Analysis, Searching, Sentiment Analysis, Sequence Alignment, Topic Modeling, Web Crawling, Text Mining
Objects: Computers, DigitalHumanities, Data, File, Interaction, Language, Link, NamedEntities, Persons, Research, ResearchProcess, ResearchResults, Software, Sound, Text, Tools, Speech
Access Requirements
a bachelor degree in computer science, NLP, linguistic, cognitive science, ... in any case, a strong interest for NLP
Description
M.Sc. Program in Natural Language Processing (NLP) and Data Science Université de Lorraine, Nancy (France) The Institute of Digital science, Management and Cognition is opening a a new Masters Program in NLP - ​​ Computer Sciences, Speech, Language and Knowledge Representation ***************************************************************************************************** http://institut-sciences-digitales.fr/idmc-master-degree-in-natural-language-processing/ ***************************************************************************************************** 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. You can apply to directly enter at either the first year or second year level. --------------------------------------------------------------------------------------------------------------------------- Language ------------- All courses are taught in English (except the "French for non-native Speakers" class). --------------------------------------------------------------------------------------------------------------------------- Fees ------- The University of Lorraine is publicly funded and thus offers tuition-free education for all students including students from both inside and outside EU/EEA/EFTA countries. The only student expenditures are a nominal semester fee of about 600 euros which includes health insurance. Nancy’s high quality of life goes hand-in-hand with a low cost of living. --------------------------------------------------------------------------------------------------------------------------- Why Nancy? --------------- 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 lab 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? -------------- 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, recommendation 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, and Orange) 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 is demonstrated by the many Ph.D. proposals in both the public and the industrial domain. --------------------------------------------------------------------------------------------------------------------------- In brief ---------- • 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 • Low cost study (tuition fees at around 600 euros per year, including health insurance)
Keywords
Disciplines: Cognitive Science, Computer Science, Human Language Technologies, Linguistics and Language Studies
Techniques: Browsing, Cluster Analysis, Concordancing, Debugging, Encoding, Gamification, Information Retrieval, Linked Open Data, Machine Learning, Named Entity Recognition, Pattern Recognition, POS-Tagging, Preservation Metadata, Principal Component Analysis, Searching, Sentiment Analysis, Sequence Alignment, Topic Modeling, Web Crawling, Text Mining
Objects: Computers, DigitalHumanities, Data, File, Interaction, Language, Link, NamedEntities, Persons, Research, ResearchProcess, ResearchResults, Software, Sound, Text, Tools, Speech