Automatic derivation of programs for image processing from natural language descriptions
Fuji Ren, Yasumichi Zaima · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1999
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.