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Abstract

The contribution presents a generative grammar for Greimas’ semiotic square, designed to represent modal syntax. In particular: (1) the grammar will generate both modal syntagms and their structural descriptions; (2) the articulation of the immanent narrative structure will be clarified; (3) structural features which are not manifested on the linear surface will become easier to examine. This model contributes to computational narratology theory, aiming at merging post-structuralist narratology with formal language theory.

Keywords

Computational Narratology Generative Grammar Modal Structures Semiotic Square Automaton 

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Copyright information

© IFIP International Federation for Information Processing 2015

Authors and Affiliations

  • Francesco Galofaro
    • 1
  1. 1.Università Politecnico di MilanoItaly

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