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Proceedings Paper

Automatic derivation of programs for image processing from natural language descriptions
Author(s): Fuji Ren; Yasumichi Zaima
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Paper Abstract

In this paper we describe AIDPG, an interactive prototype system, which derives computer programs from their natural language descriptions. AIDPG shows how to analyze natural language, resolve ambiguities using knowledge, and generates programs. AIDPG consists of a natural language input model, a natural language analysis model, a program generation model (PGG-Model) and a human machine interface control model. The PGG model has three sub-models, program structure manage sub-model, a data structure and type manage sub- model, and program base manage sub-model. We used an arithmetic problem, which, described in Japanese, was passed to AIDPG and got run-possible C programs. Although AIDPG is basic currently we got a significant result.

Paper Details

Date Published: 7 October 1999
PDF: 12 pages
Proc. SPIE 3817, Parallel and Distributed Methods for Image Processing III, (7 October 1999); doi: 10.1117/12.365891
Show Author Affiliations
Fuji Ren, Hiroshima City Univ. (Japan)
Yasumichi Zaima, Hiroshima City Univ. (Japan)


Published in SPIE Proceedings Vol. 3817:
Parallel and Distributed Methods for Image Processing III
Hongchi Shi; Patrick C. Coffield, Editor(s)

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