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1
Inference of High Dimensional Grammars.
In: DTIC AND NTIS (1978)
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2
Stochastic Syntactic Analysis and Syntactic Pattern Recognition
In: DTIC AND NTIS (1972)
Abstract: Stochastic syntactic analysis algorithms for the class of stochastic context-free programmed languages are proposed and their application to pattern classification demonstrated. The area of grammatical inference is briefly reviewed and the possible extension to the inference of stochastic grammars is also studied. A stochastic grammar is formed by assigning a probability to each production associated with a grammar which is a formal system used conveniently to specify a language. The problem of deciding whether or not a stochastic grammar is consistent is called the consistency problem of stochastic languages. It is not yet known whether or not the consistency problem is decidable for stochastic context-sensitive grammars, stochastic programmed grammars and stochastic indexed grammars. Two types of stochastic syntatic analysis algorithms are proposed for stochastic context-free programmed languages. (Author)
Keyword: (*PATTERN RECOGNITION; (*PROGRAMMING LANGUAGES; *STOCHASTIC LANGUAGES; *SYNTACTIC PATTERN RECOGNITION; *SYNTAX); ARTIFICIAL INTELLIGENCE; Computer Programming and Software; CONTEXT FREE GRAMMARS; CONTEXT SENSITIVE GRAMMARS; DECISION THEORY; Linguistics; MATHEMATICAL LOGIC; STOCHASTIC PROCESSES); THEOREMS
URL: http://www.dtic.mil/docs/citations/AD0743217
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=AD0743217
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3
On Syntactic Pattern Recognition and Stochastic Languages.
In: DTIC AND NTIS (1971)
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4
ON STOCHASTIC CONTEXT-FREE LANGUAGES
In: DTIC AND NTIS (1970)
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5
Stochastic Automata, Stochastic Languages, and Pattern Recognition
In: DTIC AND NTIS (1970)
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