Multivariate Typology

Databases and analytical tools for multivariate, hi-resolution collection of cross-linguistic data in grammar and phonology

How can we best combine descriptive accuracy in individual languages with global comparability? How can we collect data in a sustainable format, maximizing re-usability and replicability? How to best represent complex structural data in both human- and machine-friendly ways?

  • Contact: Taras Zakharko
  • Team: Taras Zakharko, Jessica Ivani, Balthasar Bickel

Selected publications:

Ivani, Jessica K. & Zakharko, Taras. 2019. Tymber, Database on nominal number marking constructions. https://github.com/jkivani/tymber/

Bickel, B., J. Nichols, T. Zakharko, A. Witzlack-Makarevich, K. Hildebrandt, M. Rießler, L. Bierkandt, F. Zúñiga & J. B. Lowe. 2017. The AUTOTYP typological databases, version 0.1.0. https://github.com/autotyp/autotyp-data/tree/0.1.0

Bickel, B. & J. Nichols. 2002. Autotypologizing databases and their use in fieldwork. In P. Austin, H. Dry & P. Wittenburg (eds.), Proceedings of the International LREC Workshop on Resources and Tools in Field Linguistics, Las Palmas, 26-27 May 2002, Nijmegen: MPI for Psycholinguistics.

For an overview of our work between 2005 and 2015, also check out the Distributional Typology web site.