Mining and Modeling Text. Interdisziplinäre Anwendungen, informatorische Weiterentwicklung, rechtliche Perspektiven (MiMoText; PI)
- This project is concerned with automatically extracting, structuring and interlinking relevant information from primary sources (notably literary texts such as novels) as well as from scholarly publications (such as literary histories), as well as with using the resulting resources for answering research questions in the Humanities.
- The project is hosted at the Trier Center for Digital Humanities (TCDH) at the University of Trier. It is funded through the “Research Initiative” of the Rhineland-Palatinate government from July 2019 to June 2022.
- The speaker of the project is Prof. Dr. Christof Schöch, the substitute speaker is Prof. Dr. Claudine Moulin.
CLiGS – Computational Literary Genre Stylistics (project lead, then mentor)
- This early career researcher group uses methods from text and data mining for the analysis of literary texts in French, Spanish and Italian, with a special focus on the relationship between literary style and literary subgenres.
- The group is funded by the BMBF (German Federal Ministry for Research and Education) from April 2014 through March 2019 (grant identifiers FKZ 01UG1408 and 01UG1508).
- Project website
COST Action ‘Distant Reading for European Literary History’ (Action chair)
- This COST Action aims to create a vibrant and diverse network of researchers jointly developing the resources and methods necessary to change the way European literary history is written using computational methods of analysis for large collections of literary texts.
- This Action is funded by the COST Association from December 2017 to November 2021 (grant identifier CA16204).
- Project website
Enhanced metadata for improved precision and validation in analytical sylometry (Koordination)
- The aim of this project is to improve the precision and transparency of stylometric methods of measuring texts similarity, together with partners at Newcastle University (Australia)
- Jointly funded by the DAAD (German Academic Exchange Service) and UA (Universities Australia) from 2018-2019 (project ID 57388420)