Leveraging Part-of-Speech Tagging for Enhanced Stylometry of Latin Literature
The result's identifiers
Result code in 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>
Result on the web
<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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Alternative languages
Result language
angličtina
Original language name
Leveraging Part-of-Speech Tagging for Enhanced Stylometry of Latin Literature
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ML4AL - Workshop Mach. Learn. Anc. Lang., Proc. Workshop
ISBN
979-889176144-5
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
251-259
Publisher name
Association for Computational Linguistics (ACL)
Place of publication
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Event location
Hybrid, Bangkok
Event date
Jan 1, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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