Old Texts, New Tools: A Data Science Approach to Authorship Attribution for Early Italian Poetry

This article focuses, from a multidisciplinary perspective, on an ad hoc corpus of medieval Italian literature defined by geographical (Tuscany) and chronological criteria (13th and 14th centuries). The objectives are both methodological and operational: first, we discuss the contribution of computational linguistics techniques in qualitative studies in attributive philology; second, we use a philological approach combined with some newer AI approaches to test their reliability in assessing proposed attributions for unknown texts, selected precisely because they belong to the poetic corpus of the Florentine poet Antonio Pucci (1309 approx.-1390?).