Product Code Database
Example Keywords: trousers -iphone $57
barcode-scavenger
   » » Wiki: Wiktionary
Tag Wiki 'Wiktionary'.
Tag

Wiktionary (, ; , ; rhyming with "dictionary") is a multilingual, web-based project to create a of terms (including , , , linguistic reconstructions, etc.) in all and in a number of artificial languages. These entries may contain , for illustration, , , , usage examples, , related terms, and of terms into other languages, among other features. It is collaboratively edited via a . is a of the words and . It is available in languages and in . Like its sister project , Wiktionary is run by the Wikimedia Foundation, and is written collaboratively by , dubbed "Wiktionarians". Its , , allows almost anyone with access to the website to create and edit entries.

Because Wiktionary is not limited by print space considerations, most of Wiktionary's language editions provide definitions and translations of terms from many languages, and some editions offer additional information typically found in .

Wiktionary's data is frequently used in various natural language processing tasks.


History and development
Wiktionary was brought online on December 12, 2002, following a proposal by Daniel Alston and an idea by , co-founder of Wikipedia. Wikipedia mailing list archive discussion from Larry Sanger giving the idea on Wiktionary – Retrieved May 3, 2011 On March 28, 2004, the first non- Wiktionaries were initiated in and . Wiktionaries in numerous other languages have since been started. Wiktionary was hosted on a temporary (wiktionary.wikipedia.org) until May 1, 2004, when it switched to the current domain name. , Wiktionary features over 30 million articles (and even more entries) across its editions. The largest of the language editions is the English Wiktionary, with over 7.5 million entries, followed by the Wiktionary with over 4.7 million and the Malagasy Wiktionary with over 3.5 million entries. Forty-three Wiktionary language editions contain over 100,000 entries each.

Many of the definitions at the project's largest language editions were created by that found creative ways to generate entries or (rarely) automatically imported thousands of entries from previously published dictionaries. Seven of the 18 bots registered at the English Wiktionary in 2007 created 163,000 of the entries there. TheDaveBot , TheCheatBot , Websterbot , PastBot , NanshuBot

Another of these bots, "", was responsible for the addition of a number of third-person conjugations that would not have received their own entries in standard dictionaries; for instance, it defined "" as the "third-person singular simple present form of ." Of the 1,269,938 definitions the English Wiktionary provides for 996,450 English words, 478,068 are "form of" definitions of this kind. Detailed statistics as of July 21, 2021 This means that even without such entries, its coverage of English is significantly larger than that of major monolingual print dictionaries. Merriam-Webster's Third New International Dictionary of the English Language, Unabridged, for instance, has 475,000 entries (with many additional embedded headwords); the Oxford English Dictionary has 615,000 headwords, but includes as well, for which the English Wiktionary has an additional 34,234 gloss definitions. Detailed exist to show how many entries of various kinds exist.

The English Wiktionary does not rely on bots to the extent that some other editions do. The and Vietnamese Wiktionaries, for example, imported large sections of the Free Vietnamese Dictionary Project (FVDP), which provides free content bilingual dictionaries to and from Vietnamese. These imported entries make up virtually all of the Vietnamese edition's contents. Like the English edition, the French Wiktionary has imported approximately 20,000 entries from the database of . The French Wiktionary grew rapidly in 2006 thanks in a large part to bots copying many entries from old, freely licensed dictionaries, such as the eighth edition of the Dictionnaire de l'Académie française (1935, around 35,000 words), and using bots to add words from other Wiktionary editions with French translations. The edition grew by nearly 80,000 entries as "" added boilerplate entries (with headings, but without definitions) for words in English and .

As of July 2021, the English Wiktionary has over 791,870 gloss definitions and over 1,269,938 total definitions (including different forms) for English entries alone, with a total of over 9,928,056 definitions across all languages.


Logos
Wiktionary has historically lacked a uniform logo across its numerous language editions. Some editions use logos that depict a dictionary entry about the term "Wiktionary", based on the previous English Wiktionary logo, which was designed by Brooke Vibber, a developer."", English Wiktionary, Wikimedia Foundation. Because a purely textual logo must vary considerably from language to language, a four-phase contest to adopt a uniform logo was held at the Wikimedia Meta-Wiki from September to October 2006. Some communities adopted the winning entry by "", a 3×3 grid of wooden tiles, each bearing a character from a different writing system. However, the poll did not see as much participation from the Wiktionary community as some community members had hoped, and a number of the larger wikis ultimately kept their textual logos.

In April 2009, the issue was resurrected with a new contest. This time, a depiction by "AAEngelman" of an open hardbound dictionary won a head-to-head vote against the 2006 logo, but the process to refine and adopt the new logo then stalled."", Meta-Wiki, Wikimedia Foundation. In the following years, some wikis replaced their textual logos with one of the two newer logos. In 2012, 55 wikis that had been using the English Wiktionary logo received localized versions of the 2006 design by "Smurrayinchester". In July 2016, the English Wiktionary adopted a variant of this logo. , 135 wikis, representing 61% of Wiktionary's entries, use a logo based on the 2006 design by "Smurrayinchester", 33 wikis (36%) use a textual logo, and three wikis (3%) use the 2009 design by "AAEngelman"..


Multi-lingual
As of June 2025, there are Wiktionary sites for languages of which are active and are closed.'s . Retrieved June 2025 from The active sites have articles, and the closed sites have articles.'s . Retrieved June 2025 from There are registered users of which are recently active.

The top ten Wiktionary language projects by mainspace article count:

For a complete list with totals see Wikimedia Statistics:


Critical reception
Critical reception of Wiktionary has been mixed. In 2006, wrote in the article "Noah's Ark" for The New Yorker,

There's no show of hands at Wiktionary. There's not even an editorial staff. "Be your own lexicographer!", might be Wiktionary's motto. Who needs experts? Why pay good money for a dictionary written by lexicographers when we could cobble one together ourselves?

Wiktionary isn't so much republican or democratic as . And it's only as good as the copyright-expired books from which it pilfers.

's review for was less critical:

Is there a place for Wiktionary? Undoubtedly. The industry and enthusiasm of its many creators are proof that there's a market. And it's wonderful to have another strong source to use when searching the odd terms that pop up in today's fast-changing world and the online environment. But as with so many Web sources (including this column), it's best used by sophisticated users in conjunction with more reputable sources.

References in other publications are fleeting and part of larger discussions of Wikipedia, not progressing beyond a definition, although David Brooks in The Nashua Telegraph described it as "wild and woolly".David Brooks, "Online, interactive encyclopedia not just for geeks anymore, because everyone seems to need it now, more than ever!" The Nashua Telegraph (August 4, 2004) One of the impediments to independent coverage of Wiktionary is the 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 that this grammatical data is very stable (a study showed that only 131 out of 4,748 Polish words have had their inflection data corrected).

, Wiktionary has seen growing use in .


Wiktionary data in natural language processing
Wiktionary has semi-structured data. Wiktionary data can be converted to machine-readable format in order to be used in natural language processing tasks.

Wiktionary's is a complex task. There are the following difficulties:

  • (1) the constant and frequent changes to data and schemata
  • (2) the heterogeneity in Wiktionary language edition schemata and
  • (3) the human-centric nature of a .

There are several for different Wiktionary language editions:

  • DBpedia Wiktionary : a subproject of , the data are extracted from English, French, German, and Russian Wiktionaries; the data includes language, parts of speech, definitions, semantic relations and translations. The declarative description of the , regular expressions and finite state transducer are used in order to extract information.
  • JWKTL (Java Wiktionary Library) : provides access to English Wiktionary and German Wiktionary dumps via a Java Wiktionary API. The data includes language, parts of speech, definitions, quotations, semantic relations, etymologies and translations. JWKTL is distributed under the .
  • wikokit : the of English Wiktionary and Russian Wiktionary. The parsed data includes language, parts of speech, definitions, quotations, semantic relations and translations. This is a multi-licensed software.
  • entries have been parsed in the Etymological project.

Examples of natural language processing tasks which have been solved with the help of Wiktionary data include:

  • Rule-based machine translation between and ; data of English Wiktionary, Dutch Wiktionary and Wikipedia were used with the machine translation platform.
  • Construction of machine-readable dictionary by the parser NULEX, which integrates open linguistic resources: English Wiktionary, , and . The parser NULEX English Wiktionary for tense information (verbs), plural form and parts of speech (nouns).
  • Speech recognition and , where Wiktionary was used to automatically create pronunciation dictionaries. Word-pronunciation pairs were retrieved from 6 Wiktionary language editions (, English, French, , Polish, and German). Pronunciations are in terms of the International Phonetic Alphabet. The ASR system based on English Wiktionary has the highest word error rate, where each third has to be changed.
  • Ontology engineering and constructing.
  • Ontology matching.
  • Text simplification. Medero & assessed vocabulary difficulty ( detection) with the help of Wiktionary data. Properties of words extracted from Wiktionary entries (definition length and POS, sense, and translation counts) were investigated. Medero & Ostendorf expected that
    • (1) very common words will be more likely to have multiple parts of speech,
    • (2) common words will be more likely to have multiple senses,
    • (3) common words will be more likely to have been translated into multiple languages. These features extracted from Wiktionary entries were useful in distinguishing word types that appear in Simple English Wikipedia articles from words that only appear in the Standard English comparable articles.
  • Part-of-speech tagging. Li et al. (2012) built multilingual POS-taggers for eight resource-poor languages on the basis of English Wiktionary and hidden Markov models.
  • Sentiment analysis.

":Lexicographical data" was started in 2018 to provide structured data support to Wiktionaries. It stores word data of all languages in a machine readable data model, under a dedicated "" namespace in Wikidata. As of October 2021, the project has amassed over 600,000 lexeme entries of various languages.


See also


Notes

Citations

Sources


External links
  • //en.wiktionary.org/wiki/Wiktionary:Multilingual_statistics
  • (including list of all existing Wiktionaries)
  • .

Page 1 of 1
1
Page 1 of 1
1

Account

Social:
Pages:  ..   .. 
Items:  .. 

Navigation

General: Atom Feed Atom Feed  .. 
Help:  ..   .. 
Category:  ..   .. 
Media:  ..   .. 
Posts:  ..   ..   .. 

Statistics

Page:  .. 
Summary:  .. 
1 Tags
10/10 Page Rank
5 Page Refs
1s Time