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Publication type: Article in Proceedings
Author: Frank Drewes, Berthold Hoffmann, Mark Minas
Editor: Juan de Lara, Detlef Plump
Title: Predictive Shift-Reduce Parsing for Hyperedge Replacement Grammars
Book / Collection title: Graph Transformation - 8th International Conference, ICGT 2017. Proceedings
Volume: 10373
Page(s): 106 – 122
Series: Lecture Notes in Computer Science
Year published: 2017
Publisher: Springer-Verlag Berlin Heidelberg
Abstract: Graph languages defined by hyperedge replacement grammars can be NP-complete. We study predictive shift-reduce (PSR) parsing for a subclass of these grammars, which generalizes the concepts of SLR(1) string parsing to graphs. PSR parsers run in linear space and time. In comparison to the predictive top-down (PTD) parsers recently developed by the authors, PSR parsing is more efficient and more general, while the required grammar analysis is easier than for PTD parsing.
Internet: https://link.springer.com/chapter/10.1007%2F978-3-319-61470-0_7
PDF Version: http://www.informatik.uni-bremen.de/~hof/papers/ICGT2017.pdf
Status: Reviewed
Last updated: 10. 01. 2018

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