'Cursus in clausula', an Online Analysis Tool of Latin Prose

Spinazze, Linda

doi:10.1145/2802612.2802635

Cited by 3 publications

(2 citation statements)

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“…One such tool we considered is the one that resulted from the Cursus in Clausula project (Spinazzè, 2014): it is a web application that extracts all the forms of cursus from an uploaded text and allows performing some statistical analyses on it. However, this tool analyses only the final portions of periods and sentences (see the definitions of clausula and cursus in section 2.1).…”

Section: Methodological Settingmentioning

confidence: 99%

Syllabic quantity patterns as rhythmic features for Latin authorship attribution

Corbara

Moreo

Sebastiani

2022

Asso for Info Science & Tech

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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.

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Section: Methodological Settingmentioning

confidence: 99%

Syllabic quantity patterns as rhythmic features for Latin authorship attribution

Corbara

Moreo

Sebastiani

2022

Asso for Info Science & Tech

View full text Add to dashboard Cite

show abstract

“…One such tool we considered is the one that resulted from the Cursus in Clausula project (Spinazzè, 2014): this tool is a web application that not only extracts all the forms of cursus from an uploaded text, but it also allows performing some statistical analyses on it. However, this tool analyses only the final portions of periods and sentences (see the definitions of clausula and cursus given in Section 2.1).…”

Section: Extracting Syllabic Quantity For Latin Prose Textsmentioning

confidence: 99%

Syllabic Quantity Patterns as Rhythmic Features for Latin Authorship Attribution

Corbara¹,

Moreo²,

Sebastiani³

2021

Preprint

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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, i.e., 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 two different machine learning methods, show that rhythmic features based on syllabic quantity are beneficial in discriminating among Latin prose authors.

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Auceps syllabarum: A Digital Analysis of Latin Prose Rhythm

Keeline

Kirby²

2019

J. Rom. Stud.

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In this article we describe a series of computer algorithms that generate prose rhythm data for any digitised corpus of Latin texts. Using these algorithms, we present prose rhythm data for most major extant Latin prose authors from Cato the Elder through the second century a.d. Next we offer a new approach to determining the statistical significance of such data. We show that, while only some Latin authors adhere to the Ciceronian rhythmic canon, every Latin author is ‘rhythmical’ — they just choose different rhythms. Then we give answers to some particular questions based on our data and statistical approach, focusing on Cicero, Sallust, Tacitus and Pliny the Younger. In addition to providing comprehensive new data on Latin prose rhythm, presenting new results based on that data and confirming certain long-standing beliefs, we hope to make a contribution to a discussion of digital and statistical methodology in the study of Latin prose rhythm and in Classics more generally. The Supplementary Material available online (https://doi.org/10.1017/S0075435819000881) contains an appendix with tables, data and code. This appendix constitutes a static ‘version of record’ for the data presented in this article, but we expect to continue to update our code and data; updates can be found in the repository of the Classical Language Toolkit (https://github.com/cltk/cltk).

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'Cursus in clausula', an Online Analysis Tool of Latin Prose

Cited by 3 publications

References 9 publications

Syllabic quantity patterns as rhythmic features for Latin authorship attribution

Syllabic quantity patterns as rhythmic features for Latin authorship attribution

Syllabic Quantity Patterns as Rhythmic Features for Latin Authorship Attribution

Auceps syllabarum: A Digital Analysis of Latin Prose Rhythm

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