In this paper we present SPARSAR, a system for the automatic analysis of English and Italian poetry. The system can work on any type of poem and produces a set of parameters that are then used to compare poems with one another, of the same author or of different authors. In this paper, we will concentrate on the second module, which is a rule-based system to represent and analyze poetic devices. Evaluation of the system on the basis of a manually created dataset - including poets from Shakespeare's time down to T.S.Eliot and Sylvia Plath - has shown its high precision and accuracy approximating 90%.

A Computational Approach to Poetic Structure, Rhythm and Rhyme

DELMONTE, Rodolfo
2014-01-01

Abstract

In this paper we present SPARSAR, a system for the automatic analysis of English and Italian poetry. The system can work on any type of poem and produces a set of parameters that are then used to compare poems with one another, of the same author or of different authors. In this paper, we will concentrate on the second module, which is a rule-based system to represent and analyze poetic devices. Evaluation of the system on the basis of a manually created dataset - including poets from Shakespeare's time down to T.S.Eliot and Sylvia Plath - has shown its high precision and accuracy approximating 90%.
2014
Proceedings of CLiC-it 2014 - The First Italian Conference on Computational Linguistics
File in questo prodotto:
File Dimensione Formato  
newp2.pdf

accesso aperto

Tipologia: Documento in Post-print
Licenza: Accesso libero (no vincoli)
Dimensione 288.54 kB
Formato Adobe PDF
288.54 kB Adobe PDF Visualizza/Apri

I documenti in ARCA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10278/43535
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact