Rule-Based Top-Down Parsing for Acyclic Contextual Hyperedge Replacement Grammars
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Abstract
Contextual hyperedge replacement (CHR) strengthens the generative power of hyperedge replacement (HR) significantly, thus increasing its usefulness for practical modeling. We define top-down parsing for CHR grammars by graph transformation, and prove that it is correct as long as the generation and use of context nodes in productions does not create cyclic dependencies. An efficient predictive version of this algorithm can be obtained as in the case of HR grammars.
Item Type
Conference
(Paper)
Authors
Publication Status
Published
Eprint ID
55035
DOI
https://www.doi.org/10.1007/978-3-030-78946-6_9
Cite as
Drewes, F.
,
Hoffmann, B.
and
Minas, M.
(2021):
Rule-Based Top-Down Parsing for Acyclic Contextual Hyperedge Replacement Grammars
,
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
doi: https://www.doi.org/10.1007/978-3-030-78946-6_9
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