Publicación:
Understanding poetry using natural language processing tools: a survey

Vista sencilla de ítem
dc.contributor.authorSisto, Mirella De
dc.contributor.authorHernández Lorenzo, Laura
dc.contributor.authorRosa, Javier de la
dc.contributor.authorRos Muñoz, Salvador
dc.contributor.authorGonzález Blanco, Elena
dc.date.accessioned2024-07-31T09:18:43Z
dc.date.available2024-07-31T09:18:43Z
dc.date.issued2024-02-07
dc.description.abstractAnalyzing poetry with automatic tools has great potential for improving verse-related research. Over the last few decades, this field has expanded notably and a large number of tools aiming at analyzing various aspects of poetry have been developed. However, the concrete connection between these tools and traditional scholars investigating poetry and metrics is often missing. The purpose of this article is to bridge this gap by providing a comprehensive survey of the automatic poetry analysis tools available for European languages. The tools are described and classified according to the language for which they are primarily developed, and to their functionalities and purpose. Particular attention is given to those that have open-source code or provide an online version with the same functionality. Combining more traditional research with these tools has clear advantages: it provides the opportunity to address theoretical questions with the support of large amounts of data; also, it allows for the development of new and diversified approaches.en
dc.description.versionversión publicada
dc.identifier.citationMirella De Sisto, Laura Hernández-Lorenzo, Javier De la Rosa, Salvador Ros, Elena González-Blanco, Understanding poetry using natural language processing tools: a survey, Digital Scholarship in the Humanities, Volume 39, Issue 2, June 2024, Pages 500–521, https://doi.org/10.1093/llc/fqae001
dc.identifier.doihttps://doi.org/10.1093/llc/fqae001
dc.identifier.issn2055-768X
dc.identifier.urihttps://hdl.handle.net/20.500.14468/23169
dc.journal.issue2
dc.journal.titleDigital Scholarship in the Humanities
dc.journal.volume39
dc.language.isoen
dc.page.final521
dc.page.initial500
dc.publisherOxford University Press
dc.relation.centerFacultades y escuelas::Facultad de Filología
dc.relation.departmentLiteratura Española y Teoría de la Literatura
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.licenseAtribución 4.0 Internacional
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject57 Lingüística::5701 Lingüística aplicada::5701.07 Lengua y literatura
dc.subject55 Historia::5505 Ciencias auxiliares de la historia::5505.10 Filología
dc.subject.keywordsPoetry analysisen
dc.subject.keywordsNatural Language Processingen
dc.subject.keywordsComputational Literary Studiesen
dc.titleUnderstanding poetry using natural language processing tools: a surveyen
dc.typeartículoes
dc.typejournal articleen
dspace.entity.typePublication
Archivos
Bloque original
Mostrando 1 - 1 de 1
Miniatura
Nombre:
HernandezLorenzo_Laura_UnderstandingPoetry.pdf
Tamaño:
1.69 MB
Formato:
Adobe Portable Document Format
Descargar
Bloque de licencias
Mostrando 1 - 1 de 1
No hay miniatura disponible
Nombre:
license.txt
Tamaño:
3.62 KB
Formato:
Item-specific license agreed to upon submission
Descripción:
Descargar
Colecciones
Artículos y papers