Leveraging Part-of-Speech Tagging for Enhanced Stylometry of Latin Literature

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3APIVB2Q86" target="_blank" >RIV/00216208:11320/25:PIVB2Q86 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204761991&partnerID=40&md5=eec752a11f0ab7da8956eb75d64f827a" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204761991&partnerID=40&md5=eec752a11f0ab7da8956eb75d64f827a</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Leveraging Part-of-Speech Tagging for Enhanced Stylometry of Latin Literature

Popis výsledku v původním jazyce

In literary critical applications, stylometry can benefit from hand-curated feature sets capturing various syntactic and rhetorical functions. For premodern languages, calculation of such features is hampered by a lack of computational resources for accurate part-of-speech tagging and semantic disambiguation. This paper reports an evaluation of POS taggers for Latin and their use in augmenting a hand-curated stylometric feature set. Our analyses show that POS-augmented features not only provide more accurate counts but also perform well on tasks such as genre classification. In the course of this work, we introduce POS n-grams as a feature for Latin stylometry. © 2024 Association for Computational Linguistics.

Název v anglickém jazyce

Leveraging Part-of-Speech Tagging for Enhanced Stylometry of Latin Literature

Popis výsledku anglicky

In literary critical applications, stylometry can benefit from hand-curated feature sets capturing various syntactic and rhetorical functions. For premodern languages, calculation of such features is hampered by a lack of computational resources for accurate part-of-speech tagging and semantic disambiguation. This paper reports an evaluation of POS taggers for Latin and their use in augmenting a hand-curated stylometric feature set. Our analyses show that POS-augmented features not only provide more accurate counts but also perform well on tasks such as genre classification. In the course of this work, we introduce POS n-grams as a feature for Latin stylometry. © 2024 Association for Computational Linguistics.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

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Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název statě ve sborníku

ML4AL - Workshop Mach. Learn. Anc. Lang., Proc. Workshop

ISBN

979-889176144-5

ISSN

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e-ISSN

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Počet stran výsledku

9

Strana od-do

251-259

Název nakladatele

Association for Computational Linguistics (ACL)

Místo vydání

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Místo konání akce

Hybrid, Bangkok

Datum konání akce

1. 1. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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