Artificial intelligence system dealing with (human) natural language rely on language models, predictions of which words occur together. To better understand how such models work -- and where they fail -- when applied to Swedish texts we need Swedish test data. A collection of test data addressing various aspects of understanding and generating text allows us to evaluate and compare models.
(This blog is based on a joint research and publication in collaboration with David Alfter, Therese Lindström Tiedemann, Maisa Lauriala and Daniela Piipponen)