D3.3: Multilingual Stylometry Showcase

Introduction to the Visualization

Welcome to our Multilingual Stylometry Visualization, a showcase designed for academics, linguists, and digital humanities scholars exploring the intersection of language, corpus composition, and stylometric methods of authorship attribution. This visualization uses a curated dataset from the ELTeC corpus, including texts in English, French, Hungarian, and Ukrainian, each translated to facilitate comparative analysis across languages. By presenting stylometric analysis through interactive heatmaps, our visualization makes it possible to interact directly with the data, exploring how linguistic features and corpus characteristics influence the identification of authorial style.

Research Question


How to Use the Visualization

What the Visualization Shows

Further Background Information