A problem solving approach to generating text from systemic grammars

Authors:
Terry Patten
Affiliations:
University of Edinburgh
Venue:
EACL '85 Proceedings of the second conference on European chapter of the Association for Computational Linguistics
Year:
1985

Citing 2
Cited 2

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Abstract

Systemic grammar has been used for AI text generation work in the past, but the implementations have tended be ad hoc or inefficient. This paper presents an approach to systemic text generation where AI problem solving techniques are applied directly to an unadulterated systemic grammar. This approach is made possible by a special relationship between systemic grammar and problem solving: both are organized primarily as choosing from alternatives. The result is simple, efficient text generation firmly based in a linguistic theory.