Understanding poetry using natural language processing tools: a survey.
Analyzing 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 too...
| Publicado en: | Digital Scholarship in the Humanities Vol. 39; no. 2; pp. 500 - 522 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
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Oxford University Press / USA
Jun2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=177947250&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 177947250 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: Jun2024 vid: 39 iid: 2 pid: 622 pub: Oxford University Press / USA artinfo: ui: 177947250 10.1093/llc/fqae001 ppf: 500 ppct: 22 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.7MB tig: atl: Understanding poetry using natural language processing tools: a survey. aug: au: Sisto, Mirella De Hernández-Lorenzo, Laura Rosa, Javier De la Ros, Salvador González-Blanco, Elena affil: Tilburg University , The Netherlands National Distance Education University , Spain National Library of Norway , Norway IE University , Spain su: Natural language processing Poetry (Literary form) sug: subj: Natural language processing Poetry (Literary form) keyword: Computational Literary Studies Natural Language Processing Poetry analysis ab: Analyzing 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. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Digital Scholarship in the Humanities holder: Oxford University Press / USA dt: @attributes: year: 2024 holdings: @attributes: islocal: N |
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