DAKODA
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".
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The project is supported by the German Federal Ministry of Education and Research (BMBF) as part of the federal-state initiative "Promotion of Artificial Intelligence in Higher Education" and funded by the European Union (NextGenerationEU):
Funding announcement: https://www.bmbf.de/bmbf/shareddocs/bekanntmachungen/de/2021/09/2021-09-06-Bekanntmachung-Datenkompetenzen.html
Funding code: 16DKWN035B
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Otto-Friedrich-Universität Bamberg
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October 2022 - September 2025
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2023
Journals
- Wisniewski, K., Zesch, T., Schwendemann, M., Ruppenhofer, J., & Portmann, A. (2023). Automatische Analysen von Erwerbsstufen in einer großen Lernerkorpus-Datenbank für DaF/DaZ. Das Forschungsprojekt DAKODA. Korpora Deutsch Als Fremdsprache, 3(2). https://doi.org/10.48694/kordaf.3845
