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Wiktionary (US: /ˈwɪkʃənɛri/ ⓘ WIK-shə-nerr-ee, UK: /ˈwɪkʃənəri/ ⓘ WIK-shə-nər-ee; rhyming with "dictionary") is a multilingual, web-based project to create a free content dictionary of terms (including words, phrases, proverbs, linguistic reconstructions, etc.) in a large number of natural languages and a number of artificial languages. These entries…
The analysis highlights History and Art as prominent areas in the source structure around Wiktionary.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Wiktionary shows recurring relationship patterns in the source. For example, Wiktionary → As, Daniel Alston, December, English Wiktionaries, English Wiktionary, Forty-three Wiktionary, French, French Wiktionary, July, Larry Sanger, Malagasy Wiktionary, Many, May, On March, Polish, Seven, The, Wikipedia, Wiktionaries Another extracted example is Wiktionary → AAEngelman, As, Because, Brooke Vibber, English Wiktionary, However, In, In April, In July, July, MediaWiki, October, September, Smurrayinchester, Some, This, Wikimedia Meta-Wiki, Wiktionary's. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
english entries language languages data words editions definitions dictionary wikipedia french translations logo wiki many wiktionary's terms natural 000 speech
TTTA extracted 71 structured relationships around Wiktionary. Examples in this analysis include Wiktionary → Available in → Multilingual (174 active) and Wiktionary → Commercial → No. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Wiktionary | Available in | Multilingual (174 active) | 1.00 | infobox |
| Wiktionary | Commercial | No | 1.00 | infobox |
| Wiktionary | Created by | Jimmy Wales | 1.00 | infobox |
| Wiktionary | Created by | Wikimedia community | 1.00 | infobox |
| Wiktionary | Current status | Active | 1.00 | infobox |
| Wiktionary | Launched | December 12, 2002; 23 years ago (2002-12-12) | 1.00 | infobox |
| Wiktionary | Owner | Wikimedia Foundation | 1.00 | infobox |
| Wiktionary | Registration | Optional | 1.00 | infobox |
| Wiktionary | Type of site | Online dictionary | 1.00 | infobox |
| Wiktionary | URL | wiktionary.org | 1.00 | infobox |
| Wiktionary | is a | continuing confusion that it is merely an extension of Wikipedia.The measure of correctness of the inflections for a subset of the Polish words in the English Wiktionary showed… | 0.90 | text |
| Wiktionary | related to Critical reception | Early | 0.60 | section |
The concept neighborhoods around Wiktionary bring nearby vocabulary together. In this analysis, examples include English, Editions and Entries. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Wiktionary, one of the stronger structural bridges in this analysis connects Wiktionary with Wiktionary data in natural language processing. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Wiktionary to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Art, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Wiktionary · EN edition · Analysis: TopicsToTalkAbout