Article In: International Journal of Learner Corpus Research: Online-First Articles
Finding common ground
Applying and customising LC-meta to a large and diverse set of German learner corpora
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Abstract
This paper reports on the implementation of the Core Metadata Schema for Learner Corpora (LC-meta) within the Data Competencies in German as a Foreign Language/German as a Second Language: Exploration of Language Technology Approaches to the Analysis of L2 Acquisition Levels in Learner Corpora of German (DAKODA) project, which harmonised metadata from more than 40 learner corpora for L2 German. We outline the harmonisation principles, document the resulting scheme and its equivalences with LC-meta, and illustrate key design decisions using the examples of exposure- and proficiency-related metadata. By reporting both the implementation process and the project-specific extensions, we aim to contribute to the iterative refinement of metadata standards in learner corpus research.
Keywords: metadata scheme, LC-meta, DAKODA, developmental stages, variation
Article outline
- 1.Introduction
- 2.Metadata in learner corpora
- 2.1Conceptual and structural interoperability in learner corpus metadata
- 2.2The LC-meta schema
- 3.Implementing LC-meta in DAKODA
- 3.1Rationale for the development of the DAKODA metadata scheme
- 3.2Metadata workflow
- 4.Zooming in: DAKODA-specific adaptations to the LC-meta standard
- 4.1Hierarchical structure and variable naming
- 4.2Exposure variables
- 4.3Proficiency variables
- 5.Accessing the DAKODA data and scheme documentation
- 5.1Corpus data with harmonised metadata
- 5.2Interactive access
- 5.3Scheme documentation
- 6.Conclusion
- Open Badge and Data Availability Statement
- AI Use Disclosure Statement
- Acknowledgements
- Notes
- Author queries
References
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