Publicación:
Characterizing the visualization design space of distant and close reading of poetic rhythm

Vista sencilla de ítem
dc.contributor.authorBenito Santos, Alejandro
dc.contributor.authorRos Muñoz, Salvador
dc.contributor.authorTherón Sánchez, Roberto
dc.contributor.authorGarcía Peñalvo, Francisco J.
dc.contributor.funderAgencia Estatal de Investigación (España)
dc.date.accessioned2026-01-19T10:32:42Z
dc.date.available2026-01-19T10:32:42Z
dc.date.issued2023-06-06
dc.description.abstractMetrical and rhythmical poetry analysis is founded on the systematic statistical analysis and comparison of sonic devices (e.g., rhythmic patterns) that emerge from a combination of pre-established aesthetic and structural rules and the poet's abilities and creative genius to convey a given message adhering to the said constraints. These rhythmical patterns, which have been traditionally obtained by means of a careful close reading of the poems, in a process known as “scansion,” can now be obtained and made visible by automatic means. However, the visualization literature is still scarce on approaches that allow an insightful close and distant reading of the rhythmical patterns in a poetry corpus. In this work, we report our initial efforts in characterizing of the visualization design space of distant and close reading of poetic rhythm. By employing a digital version of a corpus of 11,268 verses originally written by the Spanish poet and playwright Federico García-Lorca (1898–1936), we could craft several prototypical visualizations representative of the inherent complexity of the problem which we expect to employ in future user studies and that we share here with the rest of the community to foster further discussion around this interesting topic.en
dc.description.provenanceMade available in DSpace on 2026-01-19T10:32:42Z (GMT). No. of bitstreams: 1 fdata-06-1167708.pdf: 1392292 bytes, checksum: 8489a4980f1aec3c7cb667ce3bbb684b (MD5) Previous issue date: 2023-06-06en
dc.description.sponsorshipThis research has been carried out in the framework of the Grant CLS INFRA reference 101004984 funded by H2020-INFRAIA-2020-1. AB-S acknowledges support from the postdoctoral grant Margarita Salas, awarded by the Spanish Ministry of Universities.
dc.description.versionversión publicada
dc.identifier.citationBenito-Santos A, Muñoz S, Therón Sánchez R and García Peñalvo FJ (2023) Characterizing the visualization design space of distant and close reading of poetic rhythm. Front. Big Data 6:1167708. doi: 10.3389/fdata.2023.1167708
dc.identifier.doihttps://doi.org/10.3389/fdata.2023.1167708
dc.identifier.issn2624-909X
dc.identifier.urihttps://hdl.handle.net/20.500.14468/31457
dc.journal.titleFrontiers in Big Data
dc.journal.volume6
dc.language.isoen
dc.publisherFrontiers
dc.relation.centerE.T.S. de Ingeniería Informática
dc.relation.departmentSistemas de Comunicación y Control
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/101004984en
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.es
dc.subject1203.05 Sistemas automatizados de producción
dc.subject.keywordspoetryen
dc.subject.keywordstext visualizationen
dc.subject.keywordsdigital humanitiesen
dc.subject.keywordscultural collectionsen
dc.subject.keywordsautomatic scansion analysisen
dc.subject.keywordsnatural language processingen
dc.titleCharacterizing the visualization design space of distant and close reading of poetic rhythmen
dc.typeartículoes
dc.typejournal articleen
dspace.entity.typePublication
relation.isAuthorOfPublicationc2a07fe0-c0d7-4a21-bdb8-e7d547e5b78b
relation.isAuthorOfPublicationd25ad74f-42fc-47ac-911d-1e5515319a58
relation.isAuthorOfPublication.latestForDiscoveryc2a07fe0-c0d7-4a21-bdb8-e7d547e5b78b
Archivos
Bloque original
Mostrando 1 - 1 de 1
Miniatura
Nombre:
fdata-06-1167708.pdf
Tamaño:
1.33 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