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

摘要

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.