The Epistle to Cangrande is one of the most debated documents in the production of the Italian poet Dante Alighieri. For more than a hundred years scholars have been debating over its real paternity, whether it should be considered a work by Dante or a malicious forgery by an unnamed author. In this work, we try to address this philological problem through the methodologies of computational authorship verification and machine learning, by training a classifier on a dataset of medieval Latin prose texts and by using a set of authorship-related features. Although the project is still in a preliminary phase, the early results seem to confirm the hypothesis of a forgery.

The Epistle to Cangrande through the Lens of computational authorship verification

Corbara S.;Moreo Fernandez A.;Sebastiani F.;
2019

Abstract

The Epistle to Cangrande is one of the most debated documents in the production of the Italian poet Dante Alighieri. For more than a hundred years scholars have been debating over its real paternity, whether it should be considered a work by Dante or a malicious forgery by an unnamed author. In this work, we try to address this philological problem through the methodologies of computational authorship verification and machine learning, by training a classifier on a dataset of medieval Latin prose texts and by using a set of authorship-related features. Although the project is still in a preliminary phase, the early results seem to confirm the hypothesis of a forgery.
2019
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Inglese
Ingo Frommholz, Haiming Liu, Yashar Moshfeghi (eds.)
Future Directions in Information Access
FDIA 2019 - 9th PhD Symposium on Future Directions in Information Access co-located with 12th European Summer School in Information Retrieval (ESSIR 2019)
29
35
7
http://ceur-ws.org/Vol-2537/paper-06.pdf
Sì, ma tipo non specificato
July 17-18, 2019
Milan, Italy
Machine learning
Authorship Verification
Digital humanities
Dante Alighieri
Medieval Latin
Elettronico
4
open
Corbara, S.; Moreo Fernandez, A.; Sebastiani, F.; Tavoni, M.
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/424411
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