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.
The full text of this article is premium content
No entries found
Log in to Read the Full Article
Please select one of the options below for access to premium content and features.
Create a Web Account
If you are already an ACM member, Communications subscriber, or Digital Library subscriber, please set up a web account to access premium content on this site.
Join the ACM
Become a member to take full advantage of ACM's outstanding computing information resources, networking opportunities, and other benefits.
Subscribe to Communications of the ACM Magazine
Get full access to 50+ years of CACM content and receive the print version of the magazine monthly.
Purchase the Article
Non-members can purchase this article or a copy of the magazine in which it appears.