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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.
Each class is composed of multiple divisions and then sections. This may be conceptualized as a tree containing over a thousand branches for individual "meaning clusters" or semantically linked words. Although these words are not strictly synonyms, they can be viewed as colours or connotations of a meaning or as a spectrum of a concept.
A core glossary is a simple glossary or explanatory dictionary that enables definition of other concepts, especially for newcomers to a language or field of study. It contains a small working vocabulary and definitions for important or frequently encountered concepts, usually including idioms or metaphors useful in a culture.
Defining vocabulary – List of words used by lexicographers to write dictionary definitions; IMS Vocabulary Definition Exchange – Mark-up language – or grammar – for controlled vocabularies developed by IMS Global; Named-entity recognition – Extraction of named entity mentions in unstructured text into pre-defined categories
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. [14]
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. Antonyms are words with opposite or nearly opposite meanings. For example: hot ↔ cold, large ↔ small, thick ↔ thin ...
Word has a variety of meanings, and our understand of ideas such as vocabulary size differ depending on the definition used. The most common definition equates words with lemmas (the inflected or dictionary form; this includes walk, but not walks, walked or walking). Most of the time lemmas do not include proper nouns (names of people, places ...
It disregards word order (and thus most of syntax or grammar) but captures multiplicity. The bag-of-words model is commonly used in methods of document classification where, for example, the (frequency of) occurrence of each word is used as a feature for training a classifier. [1] It has also been used for computer vision. [2]