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A thesaurus (pl.: thesauri or thesauruses), sometimes called a synonym dictionary or dictionary of synonyms, is a reference work which arranges words by their meanings (or in simpler terms, a book where one can find different words with similar meanings to other words), [1] [2] sometimes as a hierarchy of broader and narrower terms, sometimes simply as lists of synonyms and antonyms.
The cause for the start of the project was the arrival of OpenOffice.org in 2002, which was missing the thesaurus of its parent, StarOffice, due to its licensing.. OpenThesaurus filled that gap by importing possible synonyms from a freely available German/English dictionary and refining and updating these in crowdsourced work through the use of a web ap
The thesaurus is integrated into the dictionary. Under each definition, various related words are shown, including: Synonyms; Antonyms; Hyponyms ('play' lists several subtypes of play, including 'passion play') Hypernyms ('daisy' is listed as a type of 'flower') Constituents (under 'forest', listed parts include 'tree' and 'underbrush')
WordNet is a lexical database of semantic relations between words that links words into semantic relations including synonyms, hyponyms, and meronyms. The synonyms are grouped into synsets with short definitions and usage examples. It can thus be seen as a combination and extension of a dictionary and thesaurus.
Power Thesaurus was created by Alexander Radyushin in 2012 and developed by Radyushin & Co. [3] [4] The domain name for the thesaurus was registered on September 18, 2012. In 2015, the android and iOS app versions of the thesaurus were developed while its Chrome and Opera browser extensions were released in 2016. [5] [6]
An online dictionary is a dictionary that is accessible via the Internet through a web browser. They can be made available in a number of ways: free, free with a paid subscription for extended or more professional content, or a paid-only service. Many dictionaries have been digitized from their print versions and are available at online libraries.
Reverso has been active since 1998, with the aim of providing online translation and linguistic tools to corporate and mass markets. [3] [4] In 2013 it released Reverso Context, a bilingual dictionary tool based on big data and machine learning algorithms. [5] In 2016 Reverso acquired Fleex, a service for learning English via subtitled movies.
Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words.