On Syntactic Pattern Recognition and Stochastic Languages.
PURDUE UNIV LAFAYETTE IND SCHOOL OF ELECTRICAL ENGINEERING
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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 andor 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