A Generative Grammar for Modal Syntagms

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.
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Kecheng Liu; Keiichi Nakata; Weizi Li; Daniel Galarreta. 16th International Conference on Informatics and Semiotics in Organisations (ICISO), Mar 2015, Toulouse, France. Springer, IFIP Advances in Information and Communication Technology, AICT-449, pp.1-9, 2015, Information and Knowledge Management in Complex Systems. 〈10.1007/978-3-319-16274-4_1〉
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Francesco Galofaro. A Generative Grammar for Modal Syntagms. Kecheng Liu; Keiichi Nakata; Weizi Li; Daniel Galarreta. 16th International Conference on Informatics and Semiotics in Organisations (ICISO), Mar 2015, Toulouse, France. Springer, IFIP Advances in Information and Communication Technology, AICT-449, pp.1-9, 2015, Information and Knowledge Management in Complex Systems. 〈10.1007/978-3-319-16274-4_1〉. 〈hal-01324955〉

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