Wiktionary

Wiktionary is a multilingual, web-based project to create a free content dictionary of all words in all languages. It is collaboratively edited via a wiki, and its name is a portmanteau of the words wiki and dictionary. It is available in 171 languages and in Simple English. Like its sister project Wikipedia, Wiktionary is run by the Wikimedia Foundation, and is written collaboratively by volunteers, dubbed "Wiktionarians". Its wiki software, MediaWiki, 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 words from many languages, and some editions offer additional information typically found in thesauri and lexicons. The English Wiktionary includes a thesaurus (formerly known as Wikisaurus) of synonyms of various words.

Wiktionary data are frequently used in various natural language processing tasks.

History and development

Wiktionary was brought online on December 12, 2002,Template:Efn following a proposal by Daniel Alston and an idea by Larry Sanger, co-founder of Wikipedia.Template:Efn On March 28, 2004, the first non-English Wiktionaries were initiated in French and Polish. Wiktionaries in numerous other languages have since been started. Wiktionary was hosted on a temporary domain name (wiktionary.wikipedia.org) until May 1, 2004, when it switched to the current domain name.Template:Efn Template:As of, Wiktionary features over 25.9 million entries across its editions.^[1] The largest of the language editions is the English Wiktionary, with over 5.8 million entries, followed by the Malagasy Wiktionary with over 5.1 million bot-generated entries and the French Wiktionary with over 3.3 million. Forty-one Wiktionary language editions now contain over 100,000 entries each.Template:Efn

File:Wiktionary growth.png

The use of bots to generate large numbers of articles is visible as "growth spurts" in this graph of article counts at the largest eight Wiktionary editions. (Data Template:As of)

Most of the entries and many of the definitions at the project's largest language editions were created by bots 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 WiktionaryTemplate:Efn created 163,000 of the entries there.^[2]

Another of these bots, "ThirdPersBot," 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 "smoulders" as the "third-person singular simple present form of smoulder." Of the 648,970 definitions the English Wiktionary provides for 501,171 English words, 217,850 are "form of" definitions of this kind.^[3] This means its coverage of English is slightly smaller than that of major monolingual print dictionaries. The Oxford English Dictionary, for instance, has 615,000 headwords, while Merriam-Webster's Third New International Dictionary of the English Language, Unabridged has 475,000 entries (with many additional embedded headwords). Detailed statistics 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 French 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.Template:Efn These imported entries make up virtually all of the Vietnamese edition's contents. Almost all non-Malagasy-language entries of the Malagasy Wiktionary were copied by bot from other Wiktionaries. Like the English edition, the French Wiktionary has imported the approximately 20,000 entries from the Unihan database of Chinese, Japanese, and Korean characters. The French Wiktionary grew rapidly in 2006 thanks in 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 Russian edition grew by nearly 80,000 entries as "LXbot" added boilerplate entries (with headings, but without definitions) for words in English and German.^[4]

In 2017 English part of en.wiktionary had over 500,000 gloss definitions and over 900,000 definitions (including different forms).^[5]

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 Brion Vibber, a MediaWiki developer.Template:Efn 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.Template:Efn Some communities adopted the winning entry by "Smurrayinchester", 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.Template:Efn

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.Template:Efn 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".Template:Efn In July 2016, the English Wiktionary adopted a variant of this logo.^[6] Template:As of, 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".Template:Efn

Accuracy

To ensure accuracy, the English Wiktionary has a policy requiring that terms be attested.^[7] Terms in major languages such as English and Chinese must be verified by:

clearly widespread use, or
use in permanently recorded media, conveying meaning, in at least three independent instances spanning at least a year.

For less-documented languages such as Creek and extinct languages such as Latin, one use in a permanently recorded medium or one mention in a reference work is sufficient verification.

Critical reception

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

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 Maoist. And it's only as good as the copyright-expired books from which it pilfers.

Keir Graff's review for Booklist 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.Template:Citation needed

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".Template:Efn One of the impediments to independent coverage of Wiktionary is the continuing confusion that it is merely an extension of Wikipedia.Template:Efn In 2005, PC Magazine rated Wiktionary as one of the Internet's "Top 101 Web Sites",Template:Sfn although little information was given about the site.

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. Only 131 out of 4748 Polish words have had their inflection data corrected.Template:Sfn

Wiktionary data in natural language processing

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

Wiktionary data mining is a complex task. There are the following difficulties:Template:Sfn (1) the constant and frequent changes to data and schemata, (2) the heterogeneity in Wiktionary language edition schemata Template:Efn and (3) the human-centric nature of a wiki.

There are several parsers for different Wiktionary language editions:Template:Sfn

DBpedia Wiktionary:^[8] a subproject of DBpedia, the data are extracted from English, French, German and Russian wiktionaries; the data includes language, part of speech, definitions, semantic relations and translations. The declarative description of the page schema,Template:Sfn regular expressions Template:Sfn and finite state transducer Template:Sfn are used in order to extract information.
JWKTL (Java Wiktionary Library):^[9] provides access to English Wiktionary and German Wiktionary dumps via a Java Wiktionary API.Template:Sfn The data includes language, part of speech, definitions, quotations, semantic relations, etymologies and translations. JWKTL is available for non-commercial use.
wikokit:^[10] the parser of English Wiktionary and Russian Wiktionary.Template:Sfn The parsed data includes language, part of speech, definitions, quotations,Template:Sfn Template:Efn semantic relationsTemplate:Sfn and translations. This is a multi-licensed open-source software.
Etymological entries have been parsed in the Etymological WordNet project.^[11]

The various natural language processing tasks were solved with the help of Wiktionary data:

Rule-based machine translation between Dutch language and Afrikaans; data of English Wiktionary, Dutch Wiktionary and Wikipedia were used with the Apertium machine translation platform.Template:Sfn
Construction of machine-readable dictionary by the parser NULEX, which integrates open linguistic resources: English Wiktionary, WordNet, and VerbNet.Template:Sfn The parser NULEX scrapes English Wiktionary for tense information (verbs), plural form and part of speech (nouns).
Speech recognition and synthesis, where Wiktionary was used to automatically create pronunciation dictionaries.Template:Sfn Word-pronunciation pairs were retrieved from 6 Wiktionary language editions (Czech, English, French, Spanish, Polish, and German). Pronunciations are in terms of the International Phonetic Alphabet.Template:Efn The ASR system based on English Wiktionary has the highest word error rate, where each third phoneme has to be changed.Template:Sfn
Ontology engineering Template:Sfn and semantic network constructing.Template:Efn
Ontology matching.Template:Sfn
Text simplification. Medero & Ostendorf Template:Sfn assessed vocabulary difficulty (reading level 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 to 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)Template:Sfn built multilingual POS-taggers for eight resource-poor languages on the basis of English Wiktionary and Hidden Markov Models.Template:Efn
Sentiment analysis.Template:Sfn

Notes

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References

Specific

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