Rantanplan, Fast and Accurate Syllabification and Scansion of Spanish Poetry

  1. Javier de la Rosa
  2. Álvaro Pérez
  3. Laura Hernández
  4. Salvador Ros
  5. Elena González-Blanco García
Zeitschrift:
Procesamiento del lenguaje natural

ISSN: 1135-5948

Datum der Publikation: 2020

Nummer: 65

Seiten: 83-90

Art: Artikel

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Andere Publikationen in: Procesamiento del lenguaje natural

Zusammenfassung

Automated analysis of Spanish poetry corpora lacks the richness of tools available for English. The existing options suffer from a number of issues: are limited to fixed-metre hendecasyllabic verses, are not publicly available, the syllabification procedure underneath is not thoroughly tested, and their speed is questionable. This paper introduces new methods to alleviate these concerns. For syllabification, we contribute with our own method and manually crafted corpus. For scansion, our approach is based on a heuristic for the application of rhetorical figures that alter metrical length. Experimental evaluation shows that both fixed-metre and mixed-metre poetry can be successfully analyzed, producing metrical patterns more accurately (increasing accuracy by 2% and 15%, respectively), and at a fraction of the time other methods need (running at least 100 times faster).

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Informationen zur Finanzierung

This research was supported by the project Poetry Standardization and Linked Open Data (POSTDATA) (ERC-2015-STG-679528) obtained by Elena González-Blanco and funded by an European Research Council (h t t p s : / / e r c . e u r o p a . e u) Starting Grant under the Horizon2020 Program of the European Union.

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