Fuzzy Computational Semantics
Burghard B. Rieger · 1994
Other than clear-cut symbolic representational formats employed sofar in natural language processing by machine, it is argued here, that fuzzy distributional representations correspond directly to the way word meanings are constituted and understood by (natural and artificial) information processing systems. Based upon such systems' theoretical performance in general and the pragmatics of communicative interaction by real language users in particular, the notions of situation and language game as introduced by Barwise/Perry and Wittgenstein respectively are combined to allow for a numerical reconstruction of processes that simulate the constitution of meaning and the interpretation of signs. This is achieved by modelling the linear or syntagmatic and selective or paradigmatic constraints which natural language structure imposes on the formation of (strings of) linguistic entities. A formalism with related algorithms and test results of their implementation are produced in order to sub...