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.File | Dimensione | Formato | |
---|---|---|---|
prod_442379-doc_158748.pdf
accesso aperto
Descrizione: The Epistle to Cangrande through the Lens of computational authorship verification
Tipologia:
Versione Editoriale (PDF)
Licenza:
Creative commons
Dimensione
274.43 kB
Formato
Adobe PDF
|
274.43 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.