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https://doi.org/10.1007/978-3-...
Part of book or chapter of book . 2012 . Peer-reviewed
License: Springer TDM
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Adaptable Parsing Expression Grammars

Authors: Leonardo Vieira dos Santos Reis; Roberto da Silva Bigonha; Vladimir Oliveira Di Iorio; Luis Eduardo de Souza Amorim;

Adaptable Parsing Expression Grammars

Abstract

The term "extensible language" is especially used when a language allows the extension of its own concrete syntax and the definition of the semantics of new constructs. Most popular tools designed for automatic generation of syntactic analyzers do not offer any desirable resources for the specification of extensible languages. When used in the implementation of features like syntax macro definitions, these tools usually impose severe restrictions. We claim that one of the main reasons for these limitations is the lack of formal models that are appropriate for the definition of the syntax of extensible languages. This paper presents the design and formal definition for Adaptable Parsing Expression Grammars (APEG), an extension to the PEG model that allows the manipulation of its own production rules during the analysis of an input string. It is shown that the proposed model may compare favorably with similar approaches for the definition of the syntax of extensible languages.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
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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!
4
Average
Average
Average