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Publication type: Article
Author: Frank Drewes, Berthold Hoffmann, Mark Minas
Title: Formalization and Correctness of Predictive Shift-Reduce Parsers for Graph Grammars based on Hyperedge Replacement
Volume: 104
Page(s): 303 – 341
Journal: Journal on Locical and Algebraic Methods for Programming
Year published: 2019
Abstract: Hyperedge replacement (HR) grammars can generate NP-complete graph languages, which makes parsing is hard even for fixed HR languages. Therefore, we study predictive shift-reduce (PSR) parsing that yields efficient parsing for a subclass of HR grammars, by generalizing the concepts of SLR(1) string parsing to graphs. We formalize the construction of PSR parsers and show that it is correct. SR parsers run in linear space and time, and are more efficient than predictive top-down (PTD) parsers recently developed by the authors.
Internet: https://arxiv.org/abs/1812.11927}{https://arxiv.org/abs/1812.11927
PDF Version: http://www.informatik.uni-bremen.de/~hof/papers/JLAMP19.pdf
Status: Reviewed
Last updated: 15. 03. 2019

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