Abstract
In times of increasingly personalized educational content, designing a data-driven platform which offers the opportunity to create content for different use cases is arguably the only solution to handle the massive amount of information. Therefore, we developed the software ”Machina Callida” (MC) in our project CALLIDUS (Computer-Aided Language Learning: Vocabulary Acquisition in Latin using Corpus-based Methods).