Accession Number : AD0726625

Title :   On Syntactic Pattern Recognition and Stochastic Languages.

Corporate Author : PURDUE UNIV LAFAYETTE IND SCHOOL OF ELECTRICAL ENGINEERING

Personal Author(s) : Fu,K. S.

Report Date : JAN 1971

Pagination or Media Count : 36

Abstract : Some preliminary thoughts regarding the potential applications of stochastic languages to syntactic pattern recognition are discussed in this paper. Emphasis is on the description of noisy and/or distorted patterns and the learning of grammar (structural description) from the actual pattern samples. It is demonstrated by several very simple examples and sometimes with rather heuristic justifications that the use of probability information in syntactic pattern recognition would make the syntactic approach more flexible and attractive. It is expected that the use of probability information in syntactic analysis (recognition), though not discussed in this paper, would probably improve the efficiency and flexibility of the analysis procedure. (Author)

Descriptors :   (*PATTERN RECOGNITION, LINGUISTICS), SYNTAX, STOCHASTIC PROCESSES, DECISION THEORY, LEARNING MACHINES, CONTEXT FREE GRAMMARS, INFORMATION THEORY, AUTOMATA

Subject Categories : Linguistics
      Bionics

Distribution Statement : APPROVED FOR PUBLIC RELEASE