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Sign Systems Studies
Article . 2000 . Peer-reviewed
Data sources: Crossref
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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Sign Systems Studies
Article . 2000
Data sources: DOAJ
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Text semiotics: Textology as survival-machine

Authors: Dina L. Gorlée;

Text semiotics: Textology as survival-machine

Abstract

Signifying practices by which living creatures communicate, are, according to Sebeok, the survival-machines. Accordingly, as represented by the semiotic text analysis or Bakhtin's textology, one can speak about a human survival-machine. This has been studied by different semiotic schools (including the Moscow-Tartu school) referring to language, culture, genre and, importantly, text ideology. In this article, the aspects of textology in Peirce's generalized theory of signs become analysed. After a discussion of the concept of text in Peirce's (published and unpublished) writings, its relationship with semiosis and other Peircean categories isshown. The project of elaborating Peirce-based text-semiotics expects that it must be dramatically different from other sign-theoretical text-theories. This may be a path towards more inter-subjective and creative textology.

Keywords

Language. Linguistic theory. Comparative grammar, P101-410

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
gold