Introduction
The purpose of the showcases for the application of methods and tools in Computational Literary Studies (CLS) presented here is to illustrate, in a concrete, visual and interactive way, how some of the key methods in CLS work when they are applied to collections of literary texts. In addition, the showcases are designed as demonstrations, with a relatively low threshold for access, of how tools and datasets as elements of an integrated infrastructure such as the one developed in CLS INFRA, can be used in research. This is done here in the hope that the showcases also help us draw additional scholars towards learning about and using such methods, datasets and infrastructure services.
The “Multilingual Stylometry with ELTeC” Showcase
Combines sets of novels in multiple languages with the method of stylometric authorship attribution. Designed by the teams in Trier, Germany (TCDH) and Kraków, Poland (IJP PAN).
View ShowcaseThe “Detecting Small Worlds in a Corpus of Thousands of Theater Plays” Showcase
Concerned with the structural analysis of character networks in European drama. Developed by the team in Potsdam, Germany (UP).
View ShowcaseThe “Scansion Tools for Corpora Annotation and Visualization: The Poetrylab Suite” Showcase
Focuses on poetry scansion - the extraction of stress patterns from poetry corpora. Developed by the team in Madrid, Spain (UNED).
The “Mapping Arthur Schnitzler in Space and Time” Showcase
Concerns spatio-temporal mapping using Linked Open Data. Developed by the team in Vienna, Austria (OEAW).
View Showcase