Using a natural-artificial hybrid language for database access
Teruaki Aizawa, Nobuko Hatada · 1980
In this paper we propose a natural-artificial hybrid language for database access. The global construction of a sentence in this language is highly schematic, but allows expressions in the chosen language such as Japanese or English. Its artificial language part, SML, is closely related to our newly introduced data model, called scaled lattice. Adopting Japanese as its natural language part, we implemented a Japanese-SML hybrid language processing system for our compact database system SCLAMS, whose database consists of scaled lattices. The main features of this implementation are (1) a small lexicon and limited grammar, and (2) an almost free form in writing Kana Japanese.