Course Details

Course Name
Master "Technologies des Langues"
Course Type
Master Programme
Institution
Université de Strasbourg
Department
Faculté des Langues
Information
http://langues.unistra.fr/presentation/departements-et-instituts/departement-dinformatique/master-technologies-des-langues/
Curriculum
http://langues.unistra.fr/formations/masters/master-traduction-et-interpretation/technologies-des-langues-traitement-automatique-des-langues-informatique-et-traduction/
Status
record actively maintained
Course Language
French
Start Date
2018-09-10
recurring
ECTS
120
Lecturer
Delphine Bernhard ; Amalia Todirascu
PID
Disciplines: Computer Science, Human Language Technologies, Linguistics and Language Studies
Techniques: Cluster Analysis, Collocation Analysis, Concordancing, Distance Measures, Encoding, Information Retrieval, Machine Learning, Named Entity Recognition, POS-Tagging, Topic Modeling, Web Crawling, Text Mining
Objects: Language, Text
Access Requirements
A Bachelor in foreign languages or linguistics, possibly literature or computer science
Description
The objective of the Master's degree is to enable students with a degree in languages or literature to obtain a dual competence, both in languages or linguistics and in computer science. This dual competence will allow students to apply for positions related to their first language competence and requiring linguistic and computer skills (constitution of multilingual digital linguistic resources, evaluation and quality control of natural language processing systems, documentation and technical writing) or positions with a predominantly computer-based focus requiring strong language skills (computer development in the field of language engineering).
Keywords
Disciplines: Computer Science, Human Language Technologies, Linguistics and Language Studies
Techniques: Cluster Analysis, Collocation Analysis, Concordancing, Distance Measures, Encoding, Information Retrieval, Machine Learning, Named Entity Recognition, POS-Tagging, Topic Modeling, Web Crawling, Text Mining
Objects: Language, Text