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Journal of the International Association for Semiotic Studies / Revue de l'Association Internationale de Sémiotique

Editor-in-Chief: Danesi, Marcel

IMPACT FACTOR 2018: 0.509

CiteScore 2018: 0.23

SCImago Journal Rank (SJR) 2018: 0.232
Source Normalized Impact per Paper (SNIP) 2018: 0.478

Agenzia Nazionale di Valutazione del Sistema Universitario e della Ricerca: Classe A

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Volume 2006, Issue 158


Dyadic versus triadic sign models in functional and object-oriented computer programming paradigms

Kumiko Tanaka-Ishii
  • Department of Creative Informatics, Graduate School of Information Science and Technology at the University of Tokyo.
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Published Online: 2006-04-28 | DOI: https://doi.org/10.1515/SEM.2006.006


The correspondence between the triadic sign model proposed by Peirce and the dyadic sign model proposed by Saussure is examined. Traditionally, it has been thought that Peirce's interpretant corresponds to Saussure's signified and Saussure's model lacks Peirce's object. However, our analysis of the two most widely used computer programming paradigms suggests that Peirce's object formally corresponds to Saussure's signified, and that Saussure's sign model is obtained when Peirce's interpretant is located outside of his model in the language system.

Keywords: dyadic and triadic sign models; object-oriented programming; functional programming; identifiers; semiosis; system

About the article

Kumiko Tanaka-Ishii

Kumiko Tanaka-Ishii (b. 1969) is an Associate Professor in the Department of Creative Informatics, Graduate School of Information Science and Technology at the University of Tokyo 〈kumiko@i.u-tokyo.ac.jp〉. Her research interests are computational semiotics, computational linguistics, and natural language processing. Her major publications include ‘Three RoboCup simulation league commentator systems’ (with E. Andre, K. Binstead et al., 2000); ‘Progress through performance competitions? A large-scale comparative study of multi-agent teams’ (with G. Kaminka, I. Frank, and K. Arai, 2001); and ‘Predictive text entry techniques using adaptive language models’ (in press).

Published Online: 2006-04-28

Published in Print: 2006-02-20

Citation Information: Semiotica, Volume 2006, Issue 158, Pages 213–231, ISSN (Online) 1613-3692, ISSN (Print) 0037-1998, DOI: https://doi.org/10.1515/SEM.2006.006.

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