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Science of Computer Programming
Article
License: Elsevier Non-Commercial
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Science of Computer Programming
Article . 2014 . Peer-reviewed
License: Elsevier Non-Commercial
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https://dx.doi.org/10.48550/ar...
Article . 2013
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On the relation between context-free grammars and parsing expression grammars

Authors: Fabio Mascarenhas; Sérgio Medeiros; Roberto Ierusalimschy;

On the relation between context-free grammars and parsing expression grammars

Abstract

Context-Free Grammars (CFGs) and Parsing Expression Grammars (PEGs) have several similarities and a few differences in both their syntax and semantics, but they are usually presented through formalisms that hinder a proper comparison. In this paper we present a new formalism for CFGs that highlights the similarities and differences between them. The new formalism borrows from PEGs the use of parsing expressions and the recognition-based semantics. We show how one way of removing non-determinism from this formalism yields a formalism with the semantics of PEGs. We also prove, based on these new formalisms, how LL(1) grammars define the same language whether interpreted as CFGs or as PEGs, and also show how strong-LL(k), right-linear, and LL-regular grammars have simple language-preserving translations from CFGs to PEGs.

Keywords

FOS: Computer and information sciences, Formal Languages and Automata Theory (cs.FL), LL(1), Computer Science - Formal Languages and Automata Theory, Parsing expression grammars, Natural semantics, Context-free grammars, LL(k), 004

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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!
14
Top 10%
Top 10%
Average
Green
hybrid