License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.CMN.2016.12
URN: urn:nbn:de:0030-drops-67135
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2016/6713/
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Galofaro, Francesco ; Kubas, Magdalena Maria

Dei Genitrix: A Generative Grammar for Traditional Litanies

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OASIcs-CMN-2016-12.pdf (0.4 MB)

Abstract

The object of the present paper is a study of two traditional litanies, Litany of the Saints and Litany of Loreto, in their most ancient attested form. We will design a narrative grammar to show how their litanic structures can be generated. We propose the notion of n-selection, a narrative rule which can't be reduced to syntax or semantics: it depends on culture. We will test the grammar on the Litany to the Divine Mercy, written by Saint Faustina Kowalska in the XXth century. Our purpose is to identify the rules of the genre which allow its reproduction in more recent versions.

BibTeX - Entry

@InProceedings{galofaro_et_al:OASIcs:2016:6713,
  author =	{Francesco Galofaro and Magdalena Maria Kubas},
  title =	{{Dei Genitrix: A Generative Grammar for Traditional Litanies}},
  booktitle =	{7th Workshop on Computational Models of Narrative (CMN 2016)},
  pages =	{12:1--12:8},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-020-0},
  ISSN =	{2190-6807},
  year =	{2016},
  volume =	{53},
  editor =	{Ben Miller and Antonio Lieto and R{\'e}mi Ronfard and Stephen G. Ware and Mark A. Finlayson},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2016/6713},
  URN =		{urn:nbn:de:0030-drops-67135},
  doi =		{10.4230/OASIcs.CMN.2016.12},
  annote =	{Keywords: Litany, generative grammar, computational narratology, digital humanities, semiotics}
}

Keywords: Litany, generative grammar, computational narratology, digital humanities, semiotics
Collection: 7th Workshop on Computational Models of Narrative (CMN 2016)
Issue Date: 2016
Date of publication: 25.10.2016

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