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Disambiguation Filters for Scannerless Generalized LR Parsers

Authors: Mark van den Brand; Jeroen Scheerder; Jurgen J. Vinju; Eelco Visser;

Disambiguation Filters for Scannerless Generalized LR Parsers

Abstract

In this paper we present the fusion of generalized LR parsing and scannerless parsing. This combination supports syntax de.nitions in which all aspects (lexical and context-free) of the syntax of a language are de.ned explicitly in one formalism. Furthermore, there are no restrictions on the class of grammars, thus allowing a natural syntax tree structure. Ambiguities that arise through the use of unrestricted grammars are handled by explicit disambiguation constructs, instead of implicit defaults that are taken by traditional scanner and parser generators. Hence, a syntax de.nition becomes a full declarative description of a language. Scannerless generalized LR parsing is a viable technique that has been applied in various industrial and academic projects.

Countries
France, Netherlands
Keywords

désambiguisation, [INFO.INFO-OH] Computer Science [cs]/Other [cs.OH], Wijsbegeerte, Wiskunde en Informatica (WIIN), Wiskunde en Informatica, filters for scannerless generalized lr parsers, disambiguation

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    selected citations
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    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).
    56
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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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!
56
Top 10%
Top 1%
Top 10%
Green
bronze