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Red Shift: Procedural Shift-Reduce Parsing

Authors: Laurent, Nicolas; The 10th ACM SIGPLAN International Conference on Software Language Engineering - SLE 2017;

Red Shift: Procedural Shift-Reduce Parsing

Abstract

Red Shift is a new design pattern for implementing parsers. The pattern draws ideas from traditional shift-reduce parsing as well as procedural PEG parsers. Red Shift parsers behaves like shift-reduce parsers, but eliminate ambiguity by always prioritizing reductions over shifts. To compensate the resulting lack of expressivity, reducers are not simple reduction rules but full-blown procedures written in a general-purpose host language. I found many advantages to this style of parser. In particular, we can generate high-quality error messages more easily; and compose different style of parsers. I also speculate about how Red Shift parsers may improve partial compilation in the context of an IDE.

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Keywords

parsers, parsing, pattern

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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!
0
Average
Average
Average
Green