230017 Neural Networks and Natural Language Processing (S) (SoSe 2025)

This seminar introduces the basics of language models and neural networks for natural language processing, which continue to dominate the current research landscape in CL. We start with some basics of machine learning for language data, such as text classification and language modeling. We then look at different types of neural network architectures and how they can be applied to language modeling. We also try to reflect, evaluate, and analyze neural language models from the linguistics perspective.

Teilnahmevoraussetzungen, notwendige Vorkenntnisse

Necessary prior knowledge:
- programming with Python

(Highly) recommended prior knowledge:
- basics in Computational Linguistics and/or Machine Learning
- for MA students in Linguistics, we highly recommend "Methoden der angewandten Computerlinguistik" (BA Computerlinguistik) which teaches the basics of statistical NLP