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Sketch Engine: History & Applications

Sketch Engine is a corpus manager and text analysis software developed by Lexical Computing since 2003. Its purpose is to enable people studying language behaviour (lexicographers, researchers in corpus linguistics, translators or language learners) to search large text collections according to complex and linguistically motivated queries. Sketch Engine…

Language: English [EN]
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Sketch Engine topic overview

The analysis highlights History and Applications as prominent areas in the source structure around Sketch Engine.

Related topics
56
Source areas
5
Connected nodes
61
Extracted relationships
84
Concept neighborhoods
24
Bridge connections
61

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Features · 28 topics
Architecture · 10 topics
Overview · 10 topics
Applications · 5 topics
History of development · 3 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

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

Available in
15 languages
Developer
Lexical Computing CZ s.r.o.
License
Proprietary software; both commercial and freeware editions are available
Operating system
Linux, Mac OS X
Original authors
Adam Kilgarriff, Pavel Rychlý
Platform
IA-32, x64 or IA-64

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

History of development

Features

Architecture

Applications

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.

How Sketch Engine connects Entity context

The extracted context around Sketch Engine shows recurring relationship patterns in the source. For example, Sketch Engine → Czech, English, Estonian, GDEX, German, Good Dictionary Examples, It, Italian, Later, Results, Russian, SKELL, Sketch Engine's Another extracted example is Sketch Engine → Adam Kilgarriff, Bonito, GPL, He, Kilgarriff, Lexical Computing, Manatee, Masaryk University, Natural Language Processing Centre, NoSketch Engine, Pavel Rychlý, Since. Use these groups to spot repeated connection types before inspecting the individual relationships.

Sketch Engine

Top relations

related to SKELL · 13
Sketch Engine → Czech, English, Estonian, GDEX, German, Good Dictionary Examples, It, Italian, Later, Results, Russian, SKELL, Sketch Engine's
related to history · 12
Sketch Engine → Adam Kilgarriff, Bonito, GPL, He, Kilgarriff, Lexical Computing, Manatee, Masaryk University, Natural Language Processing Centre, NoSketch Engine, Pavel Rychlý, Since
related to List of text corpora · 11
Sketch Engine → British National Corpus, Brown Corpus, Cambridge Academic English Corpus, Cambridge Learner Corpus, CHILDES, EUR-Lex, OpenSubtitles, TenTen Corpus Family, The, There, Trends
related to Features · 9
Sketch Engine → Corpus, Diachronic, EUR-Lex, Europarl, Keyword, OPUS, Trends, Web, Word
related to Further reading · 8
Sketch Engine → Brno, Discovering English, ISBN, James, March, Thomas, Versatile, Workbook
has application · 7
Sketch Engine → British, Dictionnaires Le Robert, Four, Macmillan English Dictionary, Oxford University Press, Shogakukan, United Kingdom's
related to Keywords and terminology extraction · 4
Sketch Engine → OneClick Terms, Single, The, This
related to Architecture · 3
Sketch Engine → Bonito, Corpus Architect, Manatee
related to External links · 2
Sketch Engine → Sketch EngineOneClick, Sketch EngineSKELL
Available in · 1
Sketch Engine → 15 languages

Important terminology

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

Important terminology

sketch corpus engine corpora text language manatee word list web software english skell bonito words lexical computing python features available

Sketch Engine relationships Subject–Predicate–Object triples

TTTA extracted 84 structured relationships around Sketch Engine. Examples in this analysis include Sketch Engine → Available in → 15 languages and Sketch Engine → Developer → Lexical Computing CZ s.r.o.. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Sketch EngineAvailable in15 languages1.00infobox
Sketch EngineDeveloperLexical Computing CZ s.r.o.1.00infobox
Sketch EngineLicenseProprietary software; both commercial and freeware editions are available1.00infobox
Sketch EngineOperating systemLinux, Mac OS X1.00infobox
Sketch EngineOriginal authorsAdam Kilgarriff, Pavel Rychlý1.00infobox
Sketch EnginePlatformIA-32, x64 or IA-641.00infobox
Sketch EngineRelease23 July 2003; 23 years ago (2003-07-23)1.00infobox
Sketch EngineStandardUnicode1.00infobox
Sketch EngineTypeCorpus manager for 100+ languages, database management system1.00infobox
Sketch EngineWebsitewww.sketchengine.eu1.00infobox
Sketch EngineWritten inGo, JavaScript, jQuery, C++, Python1.00infobox
Sketch Engineis acorpus manager and text analysis software developed by Lexical Computing since 20030.90text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Sketch Engine bring nearby vocabulary together. In this analysis, examples include Sketch, Available and Software. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Sketch Engine
    • Sketch
    • Available
    • Software
    • Corpus
    • List
    • Skell
    • Text
    • Corpora
    • Computing
    • Extraction
    • Features
    • Lexical
  • sketch engine
    • Sketch
    • Available
    • Software
    • List
    • Corpus
    • Skell
    • Text
    • Computing
    • Extraction
    • Features
    • Lexical
    • Corpora
  • corpus manager
    • List
    • Web
    • Search
    • Language
    • Management
    • Engine
    • Text
    • Architect
    • Concordance
    • Queries
    • Terminology
    • Manatee
  • software
    • Available
    • Management
    • Bonito
    • List
    • Text
    • Manatee
    • Behaviour
    • Concordance
    • Kilgarriff
    • Languages
    • Sketches
    • Terminology
  • corpus linguistics
    • List
    • Web
    • Search
    • Language
    • Management
    • Engine
    • Text
    • Architect
    • Concordance
    • Queries
    • Terminology
    • Manatee
  • corpora
    • Text
    • List
    • Extraction
    • Words
    • Web
    • Corpus
    • Engine
    • Sketch
    • Language
    • Manatee
    • Concordance
    • Provides
  • concordance
    • Terminology
    • Extraction
    • List
    • Corpus
    • Text
    • Kilgarriff
    • Sketches
    • Corpora
    • Based
    • Features
    • Lexical
    • Search
  • term extraction
    • Terminology
    • List
    • Terms
    • Concordance
    • Based
    • Available
    • Skell
    • Text
    • Sketch
    • Language
    • Architect
    • Kilgarriff

Connections between topic areas Semantic bridges

For Sketch Engine, one of the stronger structural bridges in this analysis connects Sketch Engine with Features. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Sketch Engine — Features · splits 33 ⟂ 29
Sketch Engine — Overview · splits 51 ⟂ 11
Sketch Engine — Architecture · splits 51 ⟂ 11
Sketch Engine — Applications · splits 56 ⟂ 6
Sketch Engine — History of development · splits 58 ⟂ 4

Map overview Semantic statistics

Sketch Engine

Nodes62
Edges61
Triples84
Avg. degree1.97
Density0.032258
Components1

Source & methodology

TTTA analyzes the structure around Sketch Engine to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Applications, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Sketch Engine · EN edition · Analysis: TopicsToTalkAbout

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