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
Revista:
Procesamiento del lenguaje natural

ISSN: 1135-5948

Ano de publicación: 2020

Número: 65

Páxinas: 83-90

Tipo: Artigo

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Outras publicacións en: Procesamiento del lenguaje natural

Resumo

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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Información de financiamento

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.

Financiadores

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