pydistinto - a Python implementation of different measures of distinctiveness for contrastive text analysis

To facilitate the use of relevant measures that can be used for contrastive text analysis, we are developing a tool written in Python called pydistinto as part of the Zeta and Company project. The goal of our project is to achieve a deeper understanding of the different measures of distinctiveness and to propose improvements for their implementation and use. For this purpose, we created a conceptual framework of different measures of distinctiveness. Based on the framework and Codes from pyzeta, pydistinto has been developed.

DFG Schwerpunktprogramm SPP 2207 "Computational Literary Studies"

Online:

• https://gepris.dfg.de/gepris/projekt/402743989
• https://dfg-spp-cls.github.io/

Teilprojekt: "Zeta und Konsorten. Distinktivitätsmaße für die Digitalen Literaturwissenschaften"

Online:

• https://gepris.dfg.de/gepris/projekt/424211690
• https://dfg-spp-cls.github.io/projects_en/2020/01/24/TP-Zeta_and_Company/
• https://zeta-project.eu/de/