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Electronic Notes in Theoretical Computer Science
Article . 2004 . Peer-reviewed
License: CC BY NC ND
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Electronic Notes in Theoretical Computer Science
Article
License: CC BY NC ND
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Parameterized LR Parsing

Authors: Thiemann, Peter; Neubauer, Matthias;

Parameterized LR Parsing

Abstract

AbstractCommon LR parser generators lack abstraction facilities for defining recurring patterns of productions. Although there are generators capable of supporting regular expressions on the right hand side of productions, no generator supports user defined patterns in grammars.Parameterized LR parsing extends standard LR parsing technology by admitting grammars with parameterized non-terminal symbols. A generator can implement such a grammar in two ways, either by expansion or directly. We develop the theory required for the direct implementation and show that it leads to significantly smaller parse tables and that it has fewer parsing conflicts than the expanded grammar. Attribute evaluation for a parameterized non-terminal is possible in the same way as before, if the semantic functions related to the non-terminal are polymorphic with respect to the parameter.We have implemented parameterized LR parsing in the context of Essence, a partial-evaluation based LR parser generator for Scheme.

Country
Germany
Related Organizations
Keywords

attribute evaluation, LR parser generator, productions, partial evaluation, polymorphism, Theoretical Computer Science, Computer Science(all)

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selected citations
These citations are derived from selected sources.
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!
2
Average
Average
Average
gold