Projects

Mining German Public Discourse

Data and NLP projectOngoing

Using data mining, language models, and visualization to examine German news coverage and parliamentary speech.

This project applies computational methods to several sources of German public and political discourse. It is an umbrella for related experiments rather than a single dataset or model.

News coverage §

The Tagesschau work collects articles from tagesschau.de and examines patterns in their timing, length, language, and subject matter. It also includes an experiment in fine-tuning a German language model to generate articles in the style of the collected news coverage.

Parliamentary speech §

The Bundestag work collects and parses historical parliamentary transcripts to study word associations and how political language changes over time.