A fuzzy visual language compiler

Abstract

An efficient parser for analyzing visual sentences that is based on the theory of fuzzy sets is described. The fuzzy parser selects the most reasonable parse tree for a visual sentence. The parser has been incorporated into the SIL visual language compiler. Experimental results are reported. A model which uses fuzzy theory to represent and analyze the reasonableness of derivation trees is given.<>