02076nas a2200169   4500008004100000020002200041245018000063210006900243260002600312520132300338100002001661700002101681700002501702700001801727700002101745856014001766       2020                        eng d  a978-88-3339-333-900aL’Epistola a Cangrande al vaglio della Computational Authorship Verification: risultati preliminari (con una postilla sulla cosiddetta “XIV Epistola di Dante Alighieri”)0 aL Epistola a Cangrande al vaglio della Computational Authorship   bPisa University Press3 aIn this work we apply techniques from computational Authorship Verification (AV) to the problem of detecting whether the “Epistle to Cangrande” is an authentic work by Dante Alighieri or is instead the work of a forger. The AV algorithm we use is based on “machine learning”: the algorithm “trains” an automatic system (a “classifier”) to detect whether a certain Latin text is Dante’s or not Dante’s, by exposing it to a corpus of example Latin texts by Dante and example Latin texts by authors coeval to Dante. The detection is based on the analysis of a  set of stylometric features, i.e., style-related linguistic traits whose us-age frequencies tend to represent an author’s unconscious “signature”. 
The analysis carried out in this work suggests that, of the two parts into which the Epistle is traditionally subdivided, neither is Dante’s. Experiments in which we have applied our AV system to each text in the corpus  suggest that the system has a fairly high degree of accuracy, thus lending credibility to its hypothesis about the authorship of the Epistle. In the last  section of this paper we apply our system to what has been hypothesized to be “Dante’s 14th Epistle”; the system rejects, with very high confidence, the hypothesis that this epistle might be Dante’s.1 aCorbara, Silvia1 aMoreo, Alejandro1 aSebastiani, Fabrizio1 aTavoni, Mirko1 aCasadei, Alberto  uhttps://www.datasciencephd.eu/publications/l%E2%80%99epistola-cangrande-al-vaglio-della-computational-authorship-verification-risultati01468nas a2200217   4500008004100000020002200041245008700063210006900150260004400219520069400263100002000957700002100977700002500998700001801023700002001041700001801061700001701079700002301096700001501119856011601134       2019                        eng d  a978-3-030-30754-700aThe Epistle to Cangrande Through the Lens of Computational Authorship Verification0 aEpistle to Cangrande Through the Lens of Computational Authorshi  aChambSpringer International Publishing3 aThe Epistle to Cangrande is one of the most controversial among the works of Italian poet Dante Alighieri. For more than a hundred years now, scholars have been debating over its real paternity, i.e., whether it should be considered a true work by Dante or a forgery by an unnamed author. In this work we address this philological problem through the methodologies of (supervised) Computational Authorship Verification, by training a classifier that predicts whether a given work is by Dante Alighieri or not. We discuss the system we have set up for this endeavour, the training set we have assembled, the experimental results we have obtained, and some issues that this work leaves open.1 aCorbara, Silvia1 aMoreo, Alejandro1 aSebastiani, Fabrizio1 aTavoni, Mirko1 aCristani, Marco1 aPrati, Andrea1 aLanz, Oswald1 aMesselodi, Stefano1 aSebe, Nicu  uhttps://www.datasciencephd.eu/publications/epistle-cangrande-through-lens-computational-authorship-verification