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Author Chan, S.W.K.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1995
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Natural languages ♦ Grounding ♦ Fuzzy reasoning ♦ Humans ♦ Computer science ♦ Australia ♦ Context ♦ Set theory ♦ Logic
Abstract This paper presents a subsymbolic fuzzy approach to language understanding. The author addresses the issue of natural language understanding in terms of two fundamental inferences: 1) the reasoning of implicit knowledge surrounding the text; and 2) the deduction from the explicit context of the sentences. Fuzzy reasoning and connectionist techniques are employed in order to yield right results. They are flexible enough to work in a natural language environment which is characterized by almost infinite variability. Firstly, linguistic meanings are encoded in subsymbolic microfeatures. A technique of fuzzy reasoning in a fuzzy rule matrix is used to capture the surrounding knowledge in the text. Finally, a fuzzy unification process is employed to form a coherent structure and comprehend the context.<<ETX>>
Description Author affiliation: Sch. of Comput. Sci. & Eng., New South Wales Univ., Kensington, NSW, Australia (Chan, S.W.K.)
ISBN 0780324617
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1995-03-20
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 433.42 kB
Page Count 6
Starting Page 935
Ending Page 940


Source: IEEE Xplore Digital Library