A Software-driven Workflow for the Reuse of Language Documentation Data in Typological Studies


  • Stephan Druskat Humboldt-Universität zu Berlin
  • Kilu von Prince Humboldt-Universität zu Berlin




Existing language documentation datasets may be reused in typological research projects, if they can be evaluated for suitability. As these datasets may implement the FAIR principles insufficiently, and occur in diverse data formats, data exploration represents an alternative means of evaluation, as well as the core feature of iterative annotation-analysis cycles during the project. This paper presents a semi-automated workflow driven by a set of corpus software, which enables data exploration as part of the research process, and alleviates its cost. The presented software includes a conversion tool to deal with different formats as well as a search and analysis platform for evaluation and exploration. The authors have successfully extended the software, and implemented the presented workflow in a typological research project on the TAM systems of Melanesian languages.