Affiliation:
1. Univ. of California at Los Angeles, Los Angeles
Abstract
Both in designing a new programming language and in extending an existing language, the designer is faced with the problem of deriving a “natural” grammar for the language. We are proposing an interactive approach to the grammar design problem wherein the designer presents a sample of sentences and structures as input to a grammatical inference algorithm. The algorithm then constructs a grammar which is a reasonable generalization of the examples submitted by the designer. The implemention is presently restricted to a subclass of operator precedence grammars, but a second algorithm is outlined which applies to a larger class of context-free grammars.
Publisher
Association for Computing Machinery (ACM)
Cited by
39 articles.
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