2000 Volume 12 Issue 3 Pages 406-416
In this paper, under the idea of everyday language computing that human intellectual activity is supported by the use of language, I consider how wording, which is the way of producing a text, works to represent the meaning of a text. As an approach to computing based on this idea, I propose a framework for representing non-verbal information with verbal information with an example of how a text, which explains the behavior of a line chart of foreign exchange rate changes, is generated rhetorically, introducing the text generation technology based on systemic functional linguistic theory. Moreover, I show fuzziness works to bridge the gap between non-verbal information and verbal information and then propose an approach to transforming non-verbal information into verbal information.
