Automatic derivation of programs for image processing from natural language descriptions

Fuji Ren; Yasumichi Zaima

doi:10.1117/12.365891

7 October 1999 Automatic derivation of programs for image processing from natural language descriptions

Fuji Ren, Yasumichi Zaima

Proceedings Volume 3817, Parallel and Distributed Methods for Image Processing III; (1999) https://doi.org/10.1117/12.365891
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

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.

Citation Download Citation

Fuji Ren and Yasumichi Zaima "Automatic derivation of programs for image processing from natural language descriptions", Proc. SPIE 3817, Parallel and Distributed Methods for Image Processing III, (7 October 1999); https://doi.org/10.1117/12.365891

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