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A text pattern‐matching tool based on Parsing Expression Grammars [PDF]

Software: Practice and Experience, 2008
AbstractCurrent text pattern‐matching tools are based on regular expressions. However, pure regular expressions have proven too weak a formalism for the task: many interesting patterns either are difficult to describe or cannot be described by regular expressions.
Roberto Ierusalimschy
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BITES Instead of FIRST for Parsing Expression Grammar

Fundamenta Informaticae, 2011
In an earlier paper, the author adapted to Parsing Expression Grammars (PEGs) the properties FIRST and FOLLOW used in the construction of predictive top-down parsers. The purpose was to obtain warnings for possible “language hiding”. It turned out that FIRST does not work well with lookahead expressions.
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Applying Classical Concepts to Parsing Expression Grammar

Fundamenta Informaticae, 2009
The paper is an attempt to see how much we can learn about a given Parsing Expression Grammar with the help of classical concepts used in the construction of predictive top-down parsers.
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An attribute language definition for adaptable parsing expression grammars

Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019
Adaptable Parsing Expression Grammars (APEG) are a formal model whose main purpose is to formally describe the syntax of extensible languages and their extension mechanisms. APEG extends Parsing Expression Grammar model with the notion of syntactic attributes, which are values passed through parse tree nodes and used during the parsing process.
Elton M. Cardoso, Rodrigo G. Ribeiro, Leonardo V. S. Reis, Mariza A. S. Bigonha, Roberto S. Bigonha, Vladimir O. Di Iorio   +5 more
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A Haskell Library for Adaptable Parsing Expression Grammars

Journal of Computer Languages
Elton M. Cardoso, Leonardo Vieira dos Santos Reis, Rodrigo Ribeiro   +2 more
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Parsing Expression Grammar and Packrat Parsing—A Review

2022
Nikhil S. Mangrulkar, Kavita R. Singh, Mukesh M. Raghuwanshi   +2 more
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A Haskell Library for Adaptable Parsing Expression Grammars

Proceedings of the XXVII Brazilian Symposium on Programming Languages, 2023
Elton Máximo Cardoso, Rodrigo Geraldo Ribeiro, Leonardo Vieira dos Santos Reis, Marcos Emiliano   +3 more
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Extraction of organic chemistry grammar from unsupervised learning of chemical reactions

Science Advances, 2021
Philippe Schwaller, Benjamin Hoover, Jean-Louis Reymond   +2 more
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Revisiting the grammar of Tau aggregation and pathology formation: how new insights from brain pathology are shaping how we study and target Tauopathies

Chemical Society Reviews, 2022
Galina Limorenko, Hilal A Lashuel
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Sequence grammar underlying the unfolding and phase separation of globular proteins

Molecular Cell, 2022
Kiersten M Ruff, Dezerae Cox, Rohit V Pappu   +2 more
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