From Water to Wine: Generating Natural Language Text from Today's Applications Programs

Abstract

In this paper we present a means of compensating for the semantic deficits of linguistically naive underlying application programs without compromising principled grammatical treatments in natural language generation. We present a method for building an interface from today's underlying application programs to the linguistic realization component Mumble-86. The goal of the paper is not to discuss how Mumble works, but to describe how one exploits its capabilities. We provide examples from current generation projects using Mumble as their linguistic component.

Natural Language Generation in Artificial Intelligence and Computational Linguistics

“…A short description of some of what we have been doing in text planning can be found in (McDonald and Meteer, 1988) and (Meteer, 1988(Meteer, ,1989. Our design for the early stages of the generation process overall-what is generally termed "text planning" -is otherwise in flux.…”