Probabilistic Methods in the Semantics of Natural Language

Abstract

It is possible to overcome dificulties connected with vagueness of natural language with the help of mathematical tools such as fuzzy sets and characteristic functions. The main goal of this paper is to propose an interpretation of generalised characteristic function as identical with the probability calculated from density function (probability distribution) defined on certain set. This set is identified with the quasi-model interpretation of unary predicate of a natural language.