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Paper:
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Systemic-Functional Context-Sensitive Text Generation in the Framework of Everyday Language Computing


Yusuke Takahashi* and Ichiro Kobayashi**


*Justsystem Corporation, Aoyama bldg., 1-2-3 Kita-Aoyama, Minato-ku, Tokyo 107-8640, Japan
**Dept. of Information Sciences, Faculty of Science, Ochanomizu University, 2-1-1 Ootsuka, Bunkyo-ku, Tokyo 112-8610, Japan


Received: November 30, 2005

Accepted: April 19, 2006


Keywords: Systemic Functional Linguistics, Semiotic Base, Context Base, global plan, text generation

Journal ref: Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.10, No.6 pp. 791-801, 2006

Abstract



The present text generator using resources based on Systemic Functional Linguistics (SFL). Resources are compiled in a database called the Semiotic Base, which deals with language in context. In contrast to previous SFL-based text generation systems, our comprehensive proposal contains the Context Base, which deals with context surrounding text, and covers all strata, from context to expression. Its text generation process maximizes the use of the Semiotic Base resources, i.e., system networks dealing with linguistic features. Our text generation system is resource-driven, draws heavily on information provided by the Semiotic Base, and minimizes information input.
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