Corpus-linguistic approaches and statistical methodology in the KALLIMACHOS Centre for Digital Humanities

Third Party Funds Group - Sub project

Overall project details

Overall project: KALLIMACHOS – Centre for digital editions and quantitative analysis at the University of Würzburg

Project Details

Project leader:
Prof. Dr. Stefan Evert

Project members:
Prof. Dr. Stefan Evert
Thomas Proisl

Contributing FAU Organisations:
Lehrstuhl für Korpus- und Computerlinguistik

Funding source: BMBF / Verbundprojekt (Rogator AG, Emmericher Str. 17, 90411 Nürnberg)
Start date: 01/10/2014
End date: 30/09/2017

Research Fields

Methodological foundations of corpus research and digital humanities
Lehrstuhl für Korpus- und Computerlinguistik

Abstract (technical / expert description):

This part of the project aims to provide a deeper understanding of the mathematical properties of methods for literary authorship attribution based on stylometric distance measures. Another focus is on the separation of author signal, genre signal and epoch signal which could be beneficial for an automatic genre classification. In addition, reliable statistical methods for testing the significance of the results need to be developed.

External Partners

Julius-Maximilians-Universität Würzburg


Büttner, A., Dimpel, F., Evert, S., Jannidis, F., Pielström, S., Proisl, T.,... Vitt, T. (2017). »Delta« in der stilometrischen Autorschaftsattribution. Zeitschrift für digitale Geisteswissenschaften.
Evert, S., Jannidis, F., Dimpel, F., Schöch, C., Pielström, S., Vitt, T.,... Proisl, T. (2016). „Delta“ in der stilometrischen Autorschaftsattribution. Paper presentation at DHd 2016, Leipzig, DE.
Evert, S., Proisl, T., Jannidis, F., Pielström, S., Schöch, C., & Vitt, T. (2015). Towards a better understanding of Burrows's Delta in literary authorship attribution. In Proceedings of the Fourth Workshop on Computational Linguistics for Literature (pp. 79--88). Denver, CO.

Last updated on 2018-06-11 at 17:46