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GOLD (parser)

GOLD is a free parsing system that is designed to support multiple programming languages.

Design, Grammars & Overview

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Research this topic

Explore the main themes, entities and connections around GOLD (parser). Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Design

16 related topics

Grammars

2 related topics

Overview

2 related topics

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Developers
Devin Cook and 54 other contributors
Final release
5.2.0 / August 18, 2012; 14 years ago (2012-08-18)
License
zlib License (free software)
Operating system
Windows
Type
LALR parser

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Design

Grammars

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

GOLD (parser)

Nodes24
Edges23
Triples11
Avg. degree1.92
Density0.083333
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

GOLD (parser)

Top relations

Developers · 1
GOLD (parser) → Devin Cook and 54 other contributors
Final release · 1
GOLD (parser) → 5.2.0 / August 18, 2012; 14 years ago (2012-08-18)
License · 1
GOLD (parser) → zlib License (free software)
Operating system · 1
GOLD (parser) → Windows
Type · 1
GOLD (parser) → LALR parser
Website · 1
GOLD (parser) → goldparser.org

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

builder grammar gold lalr tables dfa engine programming parsing system compiled table file language languages engines grammars development process implementation

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
GOLD (parser)DevelopersDevin Cook and 54 other contributors1.00infobox
GOLD (parser)Final release5.2.0 / August 18, 2012; 14 years ago (2012-08-18)1.00infobox
GOLD (parser)Licensezlib License (free software)1.00infobox
GOLD (parser)Operating systemWindows1.00infobox
GOLD (parser)TypeLALR parser1.00infobox
GOLD (parser)Websitegoldparser.org1.00infobox
YACCinstance ofThis is essentially the same task that is performed by compiler-compilers0.80text
ANTLR.Once the LALRinstance ofThis is essentially the same task that is performed by compiler-compilers0.80text
DFA parse tables are successfully constructedinstance ofThis is essentially the same task that is performed by compiler-compilers0.80text
the Builder can save this data into a Compiled Grammar Table fileinstance ofThis is essentially the same task that is performed by compiler-compilers0.80text
Notepad or the editor that is built into the Builderinstance ofThe grammar can be written using any text editor -0.80text

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.