Teaching pragmatics -- a computational perspective
In the age of social media and streaming services, reading books is a dying cultural practice. This also means that teaching content should no longer primarily be based on books, but that other, multimedia-based, ways of learning need to be explored.
Another point concerns the increasing interdisciplinarity of originally clearly defined disciplines.
Linguistic pragmatics is a good candidate for both aspects of communicating content: It's general characterization as the study of context-realeted meanings calls for computational approaches that are based on Bayesian probability, which can be embedded into different applications in interesting ways.
This teaching project is a attempt to finding new ways of making pragmatic content understandable for students with no or basic knowledge of Linguistics.