Authorship Attribution and ProfilingDigital Humanities and ScholarshipNatural Language Processing Techniques

Dominique Longrée, Laurent Vanni

2026.5.21Umanistica Digitale

DOI: 10.60923/issn.2532-8816/24319

Abstract

This article presents the main features of Hyperbase Web based on the Latin databases of L.A.S.L.A. This software stands out above all for its tools that enrich the reading by statistical measurements on word distribution throughout texts, as well as its deep learning algorithm applied to text analysis. After describing the L.A.S.L.A. corpus implemented in the various Latin databases, we will present the documentary and static functions accessible from the Hyperbase Web interface. Each main feature will be illustrated with machine output and enriched with linguistic interpretation suggesting complementary reading paths.

Citation format

LONGRÉE, Dominique; VANNI, Laurent. Hyperbase web. Umanistica Digitale, 2026: 133–149.