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Article . 2013
License: CC BY
Data sources: Datacite
ZENODO
Article . 2013
License: CC BY
Data sources: Datacite
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Parser Generator for Parsing Expression Grammar

Authors: Tota, Madhavi; Kumar, P. Pradeep;

Parser Generator for Parsing Expression Grammar

Abstract

In the field of formal languages apart from context free grammar (CFG) a new approach is developed i.e. Parsing Expression Grammar (PEG). Parsing Expression Grammar (PEG) is a new way to specify recursive-descent parsers with limited backtracking. The use of backtracking lifts the LL(1) restriction usually imposed by top-down parsers. In addition, PEG can directly define the structures that usually require a separate “lexer” or “scanner”. The parser has many useful properties, and with the use of memorization, it works in a linear time. This paper reports an experiment that consisted of defining PEG formalism, and literally transcribing the PEG definitions into parsing procedures. 

Keywords

backtracking, memorization, lexer, PEG, CFG

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selected citations
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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!
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