Website: https://digitaldostoevsky.com/
Github repo: https://github.com/Digital-Dostoevsky
Description: Digital Dostoevsky is a computational text analysis project on a corpus of 5 novels and two novellas by Fyodor Dostoevsky. It is a digital humanities project which emerges out of our long-standing interest in traditional philological analysis. We are excited by how digital approaches such as TEI encoding, machine reading, and natural language processing can help to answer questions about the deep structure of Dostoevsky’s novels, questions about speech, character, space, temporality, affect, and fictionality, among other areas. The project is hosted at the University of Toronto and supported by an Insight Grant from the Social Sciences and Humanities Research Council of Canada.
Contributors:
- Kate Holland, Associate Professor and Graduate Coordinator, Department of Slavic Languages and Literatures, University of Toronto
- Katherine Bowers, Associate Professor, Director, Centre for European Studies, University of British Columbia
- Braxton Boyer, PhD Student, Department of Slavic Languages and Literatures, University of Toronto
- Marcin Cieszkiel, PhD Student, Department of Slavic Languages and Literatures, University of Toronto
- Elena Vasileva, PhD Student, Department of Slavic Languages and Literatures, University of Toronto
- Elijah Sciborowski, Graduate Team Member
- Anastasiya Gordiychuk, Undergraduate Team Member
- Dmytro Ishchenko, Undergraduate Team Member
- Nadezhda Ivanova, Undergraduate Team Member
- Veronika Sizova, Undergraduate Team Member
- Eden Zorne, Undergraduate Team Member
Funders: SSHRC