Automated metric analysis of Spanish Poetry: two complementary approaches

Marco Remón, Guillermo; De la Rosa, Javier; Gonzalo Arroyo, Julio Antonio; Ros Muñoz, Salvador; González-Blanco, Elena

Publicación:
Automated metric analysis of Spanish Poetry: two complementary approaches

dc.contributor.author	Marco Remón, Guillermo
dc.contributor.author	De la Rosa, Javier
dc.contributor.author	Gonzalo Arroyo, Julio Antonio
dc.contributor.author	Ros Muñoz, Salvador
dc.contributor.author	González-Blanco, Elena
dc.date.accessioned	2025-07-10T15:17:47Z
dc.date.available	2025-07-10T15:17:47Z
dc.date.issued	2021-03-30
dc.description	This is an Accepted Manuscript of an article published by IEEE Xplore in "IEEE Access, vol. 9, pp. 51734-51746, 2021", available at: https://doi.org/10.1109/ACCESS.2021.3069635 Este es el manuscrito aceptado del artículo publicado por IEEE Xplore en "IEEE Access, vol. 9, pp. 51734-51746, 2021", disponible en línea: https://doi.org/10.1109/ACCESS.2021.3069635
dc.description.abstract	The automatic metric analysis (commonly referred to as scansion) of Spanish poetry is not a trivial problem since it combines the nuances of the language, the different poetic traditions related to melodic patterns, and the personal stylistic preferences and intentions of the author. In this paper, we explore two alternative algorithmic approaches tailored to different applications scenarios. The first approach, Rantanplan, is a rule-based method that consists of four Natural Language Processing modules that work together to perform scansion and other related analysis: Part of Speech tagging, syllabification, stress assignment, and metrical adjustment. The second approach, Jumper, explores the possibility of performing scansion without syllabification, with a twofold purpose: to minimize the errors propagated in different parts of the linguistic processing pipeline (including the syllabification step), and to improve the efficiency of the process. Both systems outperform the state of the art and provide either a more informative solution (suitable, for instance, for teaching purposes) or a more efficient processing (when a correct scansion is all the linguistic knowledge required, as in scholar philological studies). The combined use of both systems turns out to provide a practical tool to clean-up manual annotation errors in corpora.	en
dc.description.version	versión original
dc.identifier.citation	G. Marco, J. De La Rosa, J. Gonzalo, S. Ros and E. González-Blanco, "Automated Metric Analysis of Spanish Poetry: Two Complementary Approaches," in IEEE Access, vol. 9, pp. 51734-51746, 2021, https://doi.org/10.1109/ACCESS.2021.3069635
dc.identifier.doi	https://doi.org/10.1109/ACCESS.2021.3069635
dc.identifier.issn	2169-3536
dc.identifier.uri	https://hdl.handle.net/20.500.14468/29389
dc.journal.title	IEEE
dc.journal.volume	9
dc.language.iso	en
dc.page.final	51746
dc.page.initial	51734
dc.publisher	IEEE Xplore
dc.relation.center	E.T.S. de Ingeniería Informática
dc.relation.department	Sistemas de Comunicación y Control
dc.rights	info:eu-repo/semantics/openAccess
dc.rights.uri	Atribución-CompartirIgual 4.0 Internacional
dc.subject	5701.07 Lengua y literatura
dc.subject	1203.04 Inteligencia artificial
dc.subject.keywords	natural language processing	en
dc.subject.keywords	digital humanities	en
dc.subject.keywords	automated metric analysis	en
dc.subject.keywords	scansion	en
dc.subject.keywords	corpus annotation	en
dc.subject.keywords	poetry	en
dc.subject.keywords	Spanish	en
dc.title	Automated metric analysis of Spanish Poetry: two complementary approaches	en
dc.type	artículo	es
dc.type	journal article	en
dspace.entity.type	Publication
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