Assessing the reliability of stress as a feature of authorship attribution in syllabic and accentual syllabic verse

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378068%3A_____%2F19%3A00508477" target="_blank" >RIV/68378068:_____/19:00508477 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Assessing the reliability of stress as a feature of authorship attribution in syllabic and accentual syllabic verse

Popis výsledku v původním jazyce

This work builds on a recent study by one of the authors, which shows that statistics about versification may be used as a feature in the process of authorship attribution. One such statistic is what we have called the stress profile of a poem, a vector consisting of frequencies of stressed syllables at particular metrical positions. Our initial hypothesis was that because syllabic versification (SV) regulates by definition the number of syllables in a line but not the distribution of stresses, it allows authors to individualize their rhythmical style much more than accentual syllabic versification (ASV), where the distribution of stresses is primarily determined by meter. For that reason, we expected the stress profile to be a more reliable indicator of authorship in Spanish SV than in Czech or German ASV. This hypothesis, however, was not supported by our analysis. For most of our samples, German ASV had lower accuracy than Spanish, which we had predicted, but, contrary to our expectations, the accuracy for Czech ASV and Spanish SV were more or less the same. This result led us to hypothesize further that the traditional labels SV and ASV were misleading and we sought to measure the tonic entropy of our data. In this case, Spanish SV, as expected, was found to be the least tonically regular, while there was a significant difference between the two ASV systems: the values for Czech were even closer to Spanish than to the low-scoring German system. This explains why our initial grouping of Czech and German together into a single ASV category was insufficiently nuanced.

Název v anglickém jazyce

Assessing the reliability of stress as a feature of authorship attribution in syllabic and accentual syllabic verse

Popis výsledku anglicky

This work builds on a recent study by one of the authors, which shows that statistics about versification may be used as a feature in the process of authorship attribution. One such statistic is what we have called the stress profile of a poem, a vector consisting of frequencies of stressed syllables at particular metrical positions. Our initial hypothesis was that because syllabic versification (SV) regulates by definition the number of syllables in a line but not the distribution of stresses, it allows authors to individualize their rhythmical style much more than accentual syllabic versification (ASV), where the distribution of stresses is primarily determined by meter. For that reason, we expected the stress profile to be a more reliable indicator of authorship in Spanish SV than in Czech or German ASV. This hypothesis, however, was not supported by our analysis. For most of our samples, German ASV had lower accuracy than Spanish, which we had predicted, but, contrary to our expectations, the accuracy for Czech ASV and Spanish SV were more or less the same. This result led us to hypothesize further that the traditional labels SV and ASV were misleading and we sought to measure the tonic entropy of our data. In this case, Spanish SV, as expected, was found to be the least tonically regular, while there was a significant difference between the two ASV systems: the values for Czech were even closer to Spanish than to the low-scoring German system. This explains why our initial grouping of Czech and German together into a single ASV category was insufficiently nuanced.

Druh

C - Kapitola v odborné knize

CEP obor

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OECD FORD obor

60206 - Specific literatures

Projekt

<a href="/cs/project/GA17-01723S" target="_blank" >GA17-01723S: Stylometrická analýza básnických textů</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

Quantitative Approaches to Versification

ISBN

978-80-88069-83-6

Počet stran výsledku

10

Strana od-do

201-210

Počet stran knihy

274

Název nakladatele

Institute of Czech Literature of the Czech Academy of Sciences

Místo vydání

Prague

Kód UT WoS kapitoly

000494503800017