Language is a city to the building of which every human being brought a stone.

Ralph Waldo Emerson

Stone I. Parser wikokit. This program parses Wiktionaries, constructs and fills machine-readable Wiktionaries.

Stone II. PHP API (piwidict project) to work with machine-readable Wiktionary.

Stone III. Dictionary kiwidict. A visual interface to the parsed English Wiktionary and Russian Wiktionary databases.

The goal of this project is to extract semi-structured information from Wiktionary and construct machine-readable dictionary (database + API + GUI).

Download new Wiktionary parsed databases from this page.

• kiwidict offline multilingual dictionary and thesaurus based on the English Wiktionary.
• kiwidict-ru offline multilingual dictionary and thesaurus based on the Russian Wiktionary.
• magnetowordik word game based on data extracted from the English Wiktionary.

Graphical user interface (kiwidict and kiwidict-ru) supports (see release_notes.txt):

• words filtering by language code (e.g. de, fr)
• wildcard characters: the percent sign (%) matches zero or more characters, and underscore (_) a single character;
• todo: list of words only with meanings and / or semantic relations (use checkboxes).

After installation you can find the parsed Wiktionary database in SQLite format on your phone in the folder SD card/kiwidict/.

I) The maximum goal (in distant future) is to extract all information (i.e. all sections of entry) from all wiktionaries and convert data to machine-readable format.

II) Today's result. Now machine-readable Wiktionary contains the following information extracted from Russian Wiktionary and English Wiktionary:

1. word's language and part of speech;
2. meanings / definitions;
3. semantic relations;
4. translations;
5. (^) context labels (from definitions);
6. (^) quotations (text + bibliographic data).

(^) Context labels and quotations were extracted only from Russian Wiktionary.

Machine-readable Wiktionary framework:

I am interested that all two hundred Wiktionaries were parsed by this parser. But I know only Russian and English :)

If you are developer and if you are interested in adding modules to parse "your Wiktionary", then

• start from the paper describing the database (tables and relations) of machine-readable Wiktionary: Transformation of Wiktionary entry structure into tables and relations in a relational database schema. 2010. But there are new tables (absent in the publication) related to quotations and context labels, see Machine-readable database schema;
• GettingStartedWiktionaryParser — install parser and try to parse English Wiktionary and Russian Wiktionary;
• Play with parsed English or Russian Wiktionary SQL dump (download Wiktionary parsed databases);
• OneMoreWiktionary — extend parser in order to extract invaluable information from your Wiktionary.

The machine-readable dictionary database statistics:

• English Wiktionary: total, semantic relations, translations, part of speech
• Russian Wiktionary: total, semantic relations, translations, part of speech, context labels, quote (languages & sources, authors with clusters, other authors, years)

Wiki tool kit (wikokit) contains several projects related to wiki

./common_wiki — common (low-level) functions to handle data of Wikipedia and Wiktionary in MySQL database,

./common_wiki_jdbc — functions to handle data of Wiktionary in MySQL and SQLite databases (JDBC, Java SE) (depends on common_wiki.jar).

./android/common_wiki_alink — Eclipse copy (source link) of ./common_wiki (!NetBeans)

./android/common_wiki_android — functions for access to Wiktionary in Android SQLite version of database (depends on common_wiki.jar).

./android/magnetowordik — Android word game (Wiktionary thesaurus).

./hits_wiki — API for access to Wikipedia in MySQL database, algorithms to search synonyms in Wikipedia (depends on jcfd.jar, common_wiki.jar).

./TGWikiBrowser — visual browser to search for synonyms in local or remote Wikipedia (depends on hits_wiki.jar and common_wiki.jar)

./wikidf — Wiki Index Database (list of lemmas and links to wiki pages, which contain these lemmas).

./wikt_parser — Wiktionary parser creates a MySQL database (like WordNet) from an Wiktionary MySQL dump file. The project goal is to convert Wiktionary articles to machine-readable format. (It depends on common_wiki, common_wiki_jdbc)

./wiwordik — Visualization of parsed Wiktionary database. wiki + word = wiwordik.

The code of previous project Synarcher are used in wikokit.

• A. Krizhanovsky, A. Smirnov. An approach to automated construction of a general-purpose lexical ontology based on Wiktionary // Journal of Computer and Systems Sciences International, 2013, Vol. 52, No. 2, pp. 215–225.
• A. Smirnov, T. Levashova, A. Karpov, I. Kipyatkova, A. Ronzhin, A. Krizhanovsky, N. Krizhanovsky. Analysis of the quotation corpus of the Russian Wiktionary // Research in Computing Science, Vol. 56, pp. 101-112, 2012.
• A. Krizhanovsky. A quantitative analysis of the English lexicon in Wiktionaries and WordNet // International Journal of Intelligent Information Technologies (IJIIT), October-December 2012, Vol. 8, No. 4, pp. 13-22. preprint
• F. Lin, A. Krizhanovsky. Multilingual ontology matching based on Wiktionary data accessible via SPARQL endpoint // In: Proceedings of the 13th Russian Conference on Digital Libraries RCDL’2011. October 19-22, Voronezh, Russia. – pp. 19-26. link2
• A. A. Krizhanovsky. Transformation of Wiktionary entry structure into tables and relations in a relational database schema. Preprint. 2010.
• A. A. Krizhanovsky. The comparison of Wiktionary thesauri transformed into the machine-readable format. Preprint. 2010.
• A. A. Krizhanovsky, F. Lin. Related terms search based on WordNet / Wiktionary and its application in Ontology Matching // In: Proceedings of the 11th Russian Conference on Digital Libraries RCDL’2009. September 17-21, Petrozavodsk, Russia. – pp. 363-369.

• Крижановский А.А., Смирнов А.В., Круглов В.М., Крижановская Н.Б., Кипяткова И.С. Автоматическое извлечение словарных помет из Русского Викисловаря // Труды СПИИРАН. 2014. Вып. 2(33). С. 164-185. (PDF).
• Крижановский А.А., Смирнов А.В. Подход к автоматизированному построению общецелевой лексической онтологии на основе данных викисловаря // Известия РАН. Теория и системы управления. N2, 2013, С. 53-63.
• Крижановский А. А., Луговая Н. Б., Круглов В. М. Извлечение и анализ дат произведений в корпусе цитат онлайн-словаря // Информационные технологии и письменное наследие: материалы VI междунар. науч. конф. El'Manuscript-12 (Петрозаводск, 3-8 сентября 2012) / отв. ред. В.А.Баранов, А.Г.Варфоломеев. – Петрозаводск; Ижевск, 2012. – 328 с. – C. 137—142. ISBN 978-5-8021-1402-5. (PDF)
• Смирнов А.В., Круглов В.М., Крижановский А.А., Луговая Н.Б., Карпов А.А., Кипяткова И.С. Количественный анализ лексики русского WordNet и викисловарей // Труды СПИИРАН. 2012. Вып. 23. С. 231–253. (PDF).
• Крижановский А. Количественный анализ лексики английского языка в викисловарях и Wordnet // Труды СПИИРАН. 2011. Вып. 19. С. 87–101. (PDF).
• Крижановский А. Оценка использования корпусов и электронных библиотек в Русском Викисловаре // Труды международной конференции «Корпусная лингвистика–2011». – СПб.: С.-Петербургский гос. университет, Филологический факультет, 2011, 348 с. – C. 217—222. ISBN 978-5-8465-0005-5 (PDF, слайды).
• Крижановский А. Преобразование структуры словарной статьи Викисловаря в таблицы и отношения реляционной базы данных. Препринт. 2010.
• Крижановский А. Сравнение тезаурусов Русского и Английского Викисловарей, преобразованных в машинно-читаемый формат. Препринт. 2010.
• Крижановский А. Построение машинно-читаемого словаря на основе Русского Викисловаря. Презентация // Семинар: Natural Language Processing, 20 марта 2010, Санкт-Петербург.
• Крижановский А. Машинная обработка Русского Викисловаря // Вики-конференция 2009. 24—25 октября, Санкт-Петербург.

• Java Wiktionary Library (JWKTL) and jwktl at code.google.com
• perl-wiktionary-parser // github.com, Perl module
• wiktionary_parser // github.com, Perl module
• wikily-supervised-pos-tagger — part-of-speech taggers for multiple languages implemented by training Hidden Markov with Wiktionary (see paper: Shen Li; João Graça; Ben Taskar, Wiki-ly Supervised Part-of-Speech Tagging, 2012, bib)
• DBpedia Wiktionary
• Dbnary
• Wiktionary RDF versions
• YARN (open WordNet-like thesaurus for Russian)

This program is multi-licensed and may be used under the terms of any of the following licenses:

• EPL, Eclipse Public License V1.0 or later, http://www.eclipse.org/legal
• LGPL, GNU Lesser General Public License V3.0 or later, http://www.gnu.org/licenses/lgpl.html
• GPL, GNU General Public License V3.0 or later, http://www.gnu.org/licenses/gpl.html
• AL, Apache License, V2.0 or later, http://www.apache.org/licenses
• BSD, New BSD License, http://www.opensource.org/licenses/bsd-license

See documentation.