Title :
A genetically-optimised fuzzy parser of natural language
Author_Institution :
Inst. of Eng. Cybern., Wroclaw Univ. of Technol., Poland
Abstract :
This paper presents a genetic approach to inductive learning of natural language parser. The parser is based on a fuzzy automaton and works in the stratificational knowledge representation system
Keywords :
automata theory; fuzzy set theory; genetic algorithms; grammars; knowledge representation; natural language interfaces; fuzzy automaton; genetically-optimised fuzzy parser; inductive learning; natural language; stratificational knowledge representation system; Cybernetics; Electronic mail; Fuzzy systems; Genetics; Humans; Knowledge representation; Learning automata; Natural language processing; Natural languages; Optimization methods;
Conference_Titel :
Intelligent Processing and Manufacturing of Materials, 1999. IPMM '99. Proceedings of the Second International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-5489-3
DOI :
10.1109/IPMM.1999.792489
