The Fall School in Nuremberg
The Computational Linguistics Fall School is a biennial event for Master’s students and early-stage PhD students from the humanities and computer science. It is aimed at participants who want to deepen their knowledge of Computational Linguistics (CL) and Natural Language Processing (NLP). The focus is on courses covering topics that are not typically offered in regular degree programs.
This year’s edition is hosted by the University of Technology Nuremberg (UTN). Further details will follow.
Key Data
| Period | September 21–October 2, 2026 |
| Location | University of Technology Nuremberg |
| Language | English |
| Registration Period | TBA |
Program
The Computational Linguistics Fall School offers a structured academic program over two course weeks, featuring both methodological and application-oriented courses in Computational Linguistics and Natural Language Processing. All courses are held in person.
First Course Week (September 21–25)
- Programming for Computational Linguistics and Natural Language Processing
Selina Meyer (UTN) - Reading Concordances with Algorithms: a training course in key corpus linguistics methodology
Stephanie Evert and Michaela Mahlberg (FAU)
Second Course Week (September 28–October 2)
- Language in Social Context: Bridging NLP and Sociolinguistics
Agnieszka Faleńska and Filip Miletić (University of Stuttgart) - Explainable NLP: Foundations and Practice
Jing Yang and Veronika Solopova (TU Berlin)