Data competencies in DaF/DaZ: Exploring language technology approaches to the analysis of L2 acquisition levels in learner corpora

DAKODA is a CATALPA project.

How can the language of German learners be analyzed automatically? DAKODA is doing the groundwork here. Various learner corpora are merged into a large overall data set with search and filter functions. At the same time, young researchers in the field of German as a foreign language and German as a second language are trained in the handling of large data sets.

Project goals and research questions

The BMBF project "Data Competencies in DaF/DaZ: Exploration of Language Technology Approaches for the Analysis of L2 Acquisition Levels in Learner Corpora" (DAKODA) has been running since 1.10.2022. It is a project in the funding line "Projects for Strengthening the Data Competencies of Young Scientists". Here, young scientists who want to acquire data skills are brought together with experts in data-intensive methods. The FUH takes on the role of data expert with the executive position at the research professorship "Computational Linguistics".