Burghard B. Rieger:
Feasible Fuzzy Semantics
In: Heggstad, K. (ed.): COLING 78 - Reprints 7th International
Conference on
Computational Linguistics, Bergen (ICCL) 1978, pp. 41-43
Abstract
Linguistic semanticists who think their discipline an empirical
science, will not mainly be concerned with either language theory,
formal logics or mathematics, but with the study of meaning as it is
constituted in spoken or written texts used in the process of
communication. They are interested in the analysis and description
of natural language regularities that real speakers/hearers follow
and/or establish when they interact verbally by means of texts in order
to communicate.
Descriptions of natural language meanings need a formally
adequate representation of semantic phenomena, and their anlyses
require methods and procedures which are empirically adequate. Both
postulates of formal and empirical adequacy, it
seems, can be met by the concept of 'fuzzy' modeling which may provide
a formally and numerically flexible link to connect the two main,
apparently divergent lines of research in modern semantics so far:
namely, the logic inspired algebraic models of formal semantic
theory and the more empirically oriented methods and quantitative
procedures of experimental semanticists. The theory
and logic of 'fuzzy sets' introduced by Zadeh (1965) provides to bridge
the gap between an abstract model of, and its application to, phenomena
of vagueness in natural language semantics.
Full text
HTML Format
PDF Format
(85 Kb)
zurück
zu Aufsätze / back to Articles