Natural Language Processing

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 Processi