Systemic Text Generation as Problem Solving

Systemic Text Generation as Problem Solving

Patten, Terry

An exploration of a new approach to text generation that interprets systemic grammar as a computational representation. Patten demonstrates that systemic grammar can be easily and automatically translated into current AI-knowledge representations and efficiently processed by the same knowledge-based techniques currently exploited by expert systems. Thus, the fundamental methodological problem of interfacing specialized computational representations with equally specialized linguisticrepresentations can be resolved.

The study provides a detailed discussion of the formal model proposed and of a substantial implementation including a relatively large systemic grammar. It represents a fundamental and productive contribution to the literature of text generation.

Copublished with Association for Computational Linguistics

Studies in Natural Language Processing

Subject: linguistics

1988        6 X 9        240 pp.        Some line diagrams

Hardback        0-521-35076-X        $49.95