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Automated Metric Analysis of Spanish Poetry: Two Complementary Approaches

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dc.contributor.authorMarco, Guillermo
dc.contributor.authorRosa, Javier de la
dc.contributor.authorGonzalo, Julio
dc.contributor.authorRos, Salvador
dc.contributor.authorGonzález Blanco, Elena
dc.contributor.funderHorizon 2020 Framework Programme
dc.contributor.funderEuropean Commission
dc.contributor.rorhttps://ror.org/02jjdwm75
dc.date.accessioned2024-07-08T13:15:40Z
dc.date.available2024-07-08T13:15:40Z
dc.date.issued2021
dc.description.abstractThe 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. © 2013 IEEE.
dc.description.fundingtypeThis work was supported in part by the Starting Grant Research Project Poetry Standardization and Linked Open Data (POSTDATA) through the European Research Council (ERC) under the Research and Innovation Program Horizon2020 of the European Union under Grant ERC-2015-STG-679528 and in part by the Spanish Government, Project Misinformation and Miscommunication in social media: bias (MISMIS-BIAS) under Grant PGC2018-096212-B-C32.
dc.description.peerreviewedyes
dc.description.statusPublished
dc.formatapplication/pdf
dc.identifier.citationMarco, G., De La Rosa, J., Gonzalo, J., Ros, S., & González Blanco, E. (2021). Automated metric analysis of Spanish poetry: Two complementary approaches. IEEE Access, 9, 51734-51746. https://doi.org/10.1109/ACCESS.2021.3069635
dc.identifier.doihttps://doi.org/10.1109/ACCESS.2021.3069635
dc.identifier.issn21693536
dc.identifier.officialurlhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85103797893&doi=10.1109%2fACCESS.2021.3069635&partnerID=40&md5=dcd5088392a0be779a968e031e38b6bd
dc.identifier.urihttps://hdl.handle.net/20.500.14417/3192
dc.journal.titleIEEE Access
dc.language.isoen
dc.page.final51746
dc.page.initial51734
dc.page.total16
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.departmentComputer Science & AI
dc.relation.entityIE University
dc.relation.projectIDPGC2018-096212-B-C32
dc.relation.projectID679528
dc.relation.schoolIE School of Science & Technology
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.keywordAutomated metric analysis
dc.subject.keywordCorpus annotation
dc.subject.keywordDigital humanities
dc.subject.keywordNatural language processing
dc.subject.keywordPoetry
dc.subject.keywordScansion
dc.subject.keywordSpanish
dc.subject.otherComputational linguistics
dc.subject.otherNatural language processing systems
dc.subject.otherAlgorithmic approach
dc.subject.otherLinguistic knowledge
dc.subject.otherLinguistic processing
dc.subject.otherManual annotation
dc.subject.otherNAtural language processing
dc.subject.otherPart of speech tagging
dc.subject.otherRule-based method
dc.subject.otherStress assignment
dc.subject.otherPipeline processing systems
dc.titleAutomated Metric Analysis of Spanish Poetry: Two Complementary Approaches
dc.typeinfo:eu-repo/semantics/article
dc.version.typeinfo:eu-repo/semantics/publishedVersion
dc.volume.number9
dspace.entity.typePublication
person.identifier.scopus-author-id57221870496
person.identifier.scopus-author-id55203236600
person.identifier.scopus-author-id57222737713
person.identifier.scopus-author-id7005158730
person.identifier.scopus-author-id57190153324
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