Participants in the course will be given some introductory theoretical background on
various types of neural networks and machine learning methods. They will also be given
hands-on experience in programming in Python and Python's machine learning module
Pytorch in designing and experimenting with models that solve various linguistic
problems.
It is suitable for graduate students and advanced undergraduate students who have
completed basic courses in phonology, morphology and syntax
Semester: WT 2022/23