How do you make Large Language Models? How do people experience
Natural Language Processing (NLP) applications? How can we use
these technologies to analyze subjective framing of text, detect
mistranslations, and make Large Language Models more
transparent?.NLP is everywhere: Machine Translation is increasingly
employed for communication, advanced search engines are utilized to
extract content from diverse media, and GenAI is used to assist
creative writing. Research in NLP is crucial because it enables
machines to understand, interpret, and generate human language,
making human-computer interaction more natural and accessible,
while also opening up new possibilities for automating and
enhancing tasks across various industries.
This international Double Degree track in Natural Language
Processing combines Linguistics and Computer Science, which means
you study human language technologies in a multilingual
setting.
The two-year training is part of the prestigious international
Erasmus Mundus programme. You will spend the first year of your
studies in Groningen and will finish the programme at one of our
partner universities in the second year. After completing the
track, you will receive two Master's degrees: a degree in
Linguistics from the University of Groningen and a second Master's
degree from the partner university you choose to stay at.
Natural Language Processing is a Master’s track, embedded
in the Language and Communication Technologies Erasmus Mundus
programme.
More information about this option