<i>ImitatioInspector</i>: a prototype machine learning tool regarding <i>imitatio Dantis</i> and <i>imitatio Petrarcae</i>

Abstract Imitatio Dantis and imitatio Petrarcae, in this article seen as elements of Dantesque and Petrarchesque writing based on Dante’s Comedy and Petrarch’s Canzoniere, respectively, had a major influence on Italian literature, especially between the 14th and 16th centuries. However, identifying the elements of Dantesque and Petrarchesque writing “manually” is a daunting and time-consuming task. Hence, it is desirable to have a computer system that can help identify (verse) texts that “merit” an intensive close reading of imitatio Dantis and imitatio Petrarcae. Although this is a challenging task, this article presents a machine learning model and ImitatioInspector, a prototype software application based on this model, yielding promising first results that (pre)classify (unknown) Old Italian verses into “Dante,” “Petrarca,” or “unknown” (i.e. neither Dantesque nor Petrarchesque). Despite certain limitations of the application, these results warrant further development.

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Publication Details

Journal
Digital Scholarship in the Humanities
Published
2025-06-16
DOI
https://doi.org/10.1093/llc/fqaf049
Primary Topic
Renaissance and Early Modern Studies
Type
article
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article

ImitatioInspector: a prototype machine learning tool regarding imitatio Dantis and imitatio Petrarcae

Sascha Resch
Digital Scholarship in the Humanities
Renaissance and Early Modern Studies
article

ImitatioInspector: a prototype machine learning tool regarding imitatio Dantis and imitatio Petrarcae

Sascha Resch
article en

Abstract

Abstract Imitatio Dantis and imitatio Petrarcae, in this article seen as elements of Dantesque and Petrarchesque writing based on Dante’s Comedy and Petrarch’s Canzoniere, respectively, had a major influence on Italian literature, especially between the 14th and 16th centuries. However, identifying the elements of Dantesque and Petrarchesque writing “manually” is a daunting and time-consuming task. Hence, it is desirable to have a computer system that can help identify (verse) texts that “merit” an intensive close reading of imitatio Dantis and imitatio Petrarcae. Although this is a challenging task, this article presents a machine learning model and ImitatioInspector, a prototype software application based on this model, yielding promising first results that (pre)classify (unknown) Old Italian verses into “Dante,” “Petrarca,” or “unknown” (i.e. neither Dantesque nor Petrarchesque). Despite certain limitations of the application, these results warrant further development.

Digital Scholarship in the HumanitiesVol. 40(3)
Ludwig-Maximilians-Universität München (DE)
Quality Education
Openalex Percentile: Top 86%
Renaissance and Early Modern Studies
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