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Thesaurus Linguae Latinae. A modern english thesaurus. 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 ...
A thesaurus or synonym dictionary lists similar or related words; these are often, but not always, synonyms. [15] The word poecilonym is a rare synonym of the word synonym. It is not entered in most major dictionaries and is a curiosity or piece of trivia for being an autological word because of its meta quality as a synonym of synonym.
Word British English meanings Meanings common to British and American English American English meanings earth safety connection of an electrical circuit, or to connect (an electrical device) to this (US: ground) the planet Earth soil the burrow of some animals efficiency the quality of being efficient
Although the basic principles are fairly similar, the treatment of synonyms in botanical nomenclature differs in detail and terminology from zoological nomenclature, where the correct name is included among synonyms, although as first among equals it is the "senior synonym": Synonyms in botany are equivalent to "junior synonyms" in zoology. The ...
Oxford Dictionary has 273,000 headwords; 171,476 of them being in current use, 47,156 being obsolete words and around 9,500 derivative words included as subentries. The dictionary contains 157,000 combinations and derivatives, and 169,000 phrases and combinations, making a total of over 600,000 word-forms.
WordNet aims to cover most everyday words and does not include much domain-specific terminology. WordNet is the most commonly used computational lexicon of English for word-sense disambiguation (WSD), a task aimed at assigning the context-appropriate meanings (i.e. synset members) to words in a text. [ 13 ]
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. The word2vec algorithm estimates these representations by modeling text in a large corpus.
On average, each word in the list has 15.38 senses. The sense count does not include the use of terms in phrasal verbs such as "put out" (as in "inconvenienced") and other multiword expressions such as the interjection "get out!", where the word "out" does not have an individual meaning. [6]