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PoetryLab as Infrastructure for the Analysis of Spanish Poetry

Authors: Rosa, Javier de la; Pérez Pozo, Álvaro; Hernández Lorenzo, Laura; Díaz Paredes, Aitor; Ros Muñoz, Salvador; González Blanco, Elena;

PoetryLab as Infrastructure for the Analysis of Spanish Poetry

Abstract

The development of the network of ontologies of the ERC POSTDATA Project brought to lightsome deficiencies in terms of completeness in the existing corpora. To tackle the issue in the realm of the Spanish poetic tradition, our approach consisted in designing a set of tools that any scholar could use to automatically enrich the analysis of Spanish poetry. The effort crystallized in the PoetryLab, an extensible open-source toolkit for syllabification, scansion, enjambment detection, rhyme detection, and historical named entity recognition for Spanish poetry. We designed the system to be interoperable, compliant with the project ontologies, easy to use by tech-savvy and non-expert researchers, and requiring minimal maintenance and setup. Furthermore, we propose the integration of the PoetryLab as a core functionality in the tool catalog of CLARIN for Spanish poetry.

Country
Spain
Keywords

Digital Humanities, Natural Language Processing, Poetry, 62 Ciencias de las Artes y las Letras::6202 Teoría, análisis y crítica literarias

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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