Derivation representation using binary subtree sets

Elizabeth Scott; Adrian Johnstone; L. Thomas van Binsbergen

doi:10.1016/j.scico.2019.01.008

Derivation representation using binary subtree sets

Elizabeth Scott, Adrian Johnstone, L. Thomas van Binsbergen

Research output: Contribution to journal › Article › peer-review

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Abstract

This paper introduces sets of binary subtree representations as an
alternative to shared packed parse forests as the output of a generalised parser, and shows how these may be generated by Earley's algorithm,
by a new GLL-style parser and by Johnson's continuation passing combinator style parsers. The set based output removes the clerical overhead associated with
graph constructions, making the parsers simpler.

Original language	English
Pages (from-to)	63-84
Number of pages	22
Journal	Science of Computer Programming
Volume	175
Early online date	25 Jan 2019
DOIs	https://doi.org/10.1016/j.scico.2019.01.008
Publication status	Published - 15 Apr 2019

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10.1016/j.scico.2019.01.008

Accepted ManuscriptAccepted author manuscript, 464 KBLicence: CC BY-NC-ND

1 Doctoral Thesis

Executable Formal Specification of Programming Languages with Reusable Components
van Binsbergen, L. T., 2019, (Unpublished) 274 p.
Research output: Thesis › Doctoral Thesis

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AB - This paper introduces sets of binary subtree representations as an alternative to shared packed parse forests as the output of a generalised parser, and shows how these may be generated by Earley's algorithm,by a new GLL-style parser and by Johnson's continuation passing combinator style parsers. The set based output removes the clerical overhead associated withgraph constructions, making the parsers simpler.

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JO - Science of Computer Programming

JF - Science of Computer Programming

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Derivation representation using binary subtree sets

Abstract

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Research output

Executable Formal Specification of Programming Languages with Reusable Components

Cite this