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The equivalence problem for LL- and LR-regular grammars

Authors: Nijholt, Anton;

The equivalence problem for LL- and LR-regular grammars

Abstract

AbstractThe equivalence problem for context-free grammars is “given two arbitrary grammars, do they generate the same language?” Since this is undecidable in general attention has been restricted to decidable subclasses of the context-free grammars. For example, the classes of LL(k) grammars and real-time strict deterministic grammars. In this paper it is shown that the equivalence problem for LL-regular grammars is decidable by reducing it to the equivalence problem for real-time strict deterministic grammars. Moreover, we show that the LL-regular equivalence problem is a special case of a more general equivalence problem which is also decidable. Our techniques can also be used to show that the equivalence problem for LR-regular grammars is decidable if and only if the equivalence problem for LR(0) grammars is decidable.

Keywords

context-free languages, Computer Networks and Communications, Applied Mathematics, decidability, Formal languages and automata, Theory of compilers and interpreters, strict deterministic grammars, Theoretical Computer Science, Computational Theory and Mathematics, HMI-SLT: Speech and Language Technology, EWI-9235, LL(k) grammars, IR-66932

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Top 10%
Average
hybrid