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Syllabic quantity patterns as rhythmic features for Latin authorship attribution.

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Title: Syllabic quantity patterns as rhythmic features for Latin authorship attribution.
Authors: Corbara, Silvia1 silvia.corbara@sns.it, Moreo, Alejandro2, Sebastiani, Fabrizio2
Source: Journal of the Association for Information Science & Technology. Jan2023, Vol. 74 Issue 1, p128-141. 14p. 4 Charts.
Subjects: Hispanic Americans, Comparative grammar, Language & languages, Teaching aids, Information science, Authorship, Information technology
Abstract: It is well known that, within the Latin production of written text, peculiar metric schemes were followed not only in poetic compositions, but also in many prose works. Such metric patterns were based on so‐called syllabic quantity, that is, on the length of the involved syllables, and there is substantial evidence suggesting that certain authors had a preference for certain metric patterns over others. In this research we investigate the possibility to employ syllabic quantity as a base for deriving rhythmic features for the task of computational authorship attribution of Latin prose texts. We test the impact of these features on the authorship attribution task when combined with other topic‐agnostic features. Our experiments, carried out on three different datasets using support vector machines (SVMs) show that rhythmic features based on syllabic quantity are beneficial in discriminating among Latin prose authors. [ABSTRACT FROM AUTHOR]
Copyright of Journal of the Association for Information Science & Technology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Syllabic quantity patterns as rhythmic features for Latin authorship attribution.
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  Data: <searchLink fieldCode="AR" term="%22Corbara%2C+Silvia%22">Corbara, Silvia</searchLink><relatesTo>1</relatesTo><i> silvia.corbara@sns.it</i><br /><searchLink fieldCode="AR" term="%22Moreo%2C+Alejandro%22">Moreo, Alejandro</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Sebastiani%2C+Fabrizio%22">Sebastiani, Fabrizio</searchLink><relatesTo>2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+the+Association+for+Information+Science+%26+Technology%22">Journal of the Association for Information Science & Technology</searchLink>. Jan2023, Vol. 74 Issue 1, p128-141. 14p. 4 Charts.
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  Data: <searchLink fieldCode="DE" term="%22Hispanic+Americans%22">Hispanic Americans</searchLink><br /><searchLink fieldCode="DE" term="%22Comparative+grammar%22">Comparative grammar</searchLink><br /><searchLink fieldCode="DE" term="%22Language+%26+languages%22">Language & languages</searchLink><br /><searchLink fieldCode="DE" term="%22Teaching+aids%22">Teaching aids</searchLink><br /><searchLink fieldCode="DE" term="%22Information+science%22">Information science</searchLink><br /><searchLink fieldCode="DE" term="%22Authorship%22">Authorship</searchLink><br /><searchLink fieldCode="DE" term="%22Information+technology%22">Information technology</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: It is well known that, within the Latin production of written text, peculiar metric schemes were followed not only in poetic compositions, but also in many prose works. Such metric patterns were based on so‐called syllabic quantity, that is, on the length of the involved syllables, and there is substantial evidence suggesting that certain authors had a preference for certain metric patterns over others. In this research we investigate the possibility to employ syllabic quantity as a base for deriving rhythmic features for the task of computational authorship attribution of Latin prose texts. We test the impact of these features on the authorship attribution task when combined with other topic‐agnostic features. Our experiments, carried out on three different datasets using support vector machines (SVMs) show that rhythmic features based on syllabic quantity are beneficial in discriminating among Latin prose authors. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of the Association for Information Science & Technology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1002/asi.24660
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        Text: English
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      – SubjectFull: Comparative grammar
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      – SubjectFull: Language & languages
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      – SubjectFull: Teaching aids
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      – TitleFull: Syllabic quantity patterns as rhythmic features for Latin authorship attribution.
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            – D: 01
              M: 01
              Text: Jan2023
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