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Techniques that involve semantics and the choosing of words. Anglish: a writing using exclusively words of Germanic origin; Auto-antonym: a word that contains opposite meanings; Autogram: a sentence that provide an inventory of its own characters; Irony; Malapropism: incorrect usage of a word by substituting a similar-sounding word with ...
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 ...
Antonyms are words with opposite or nearly opposite meanings. For example: hot ↔ cold, large ↔ small, thick ↔ thin, synonym ↔ antonym; Hypernyms and hyponyms are words that refer to, respectively, a general category and a specific instance of that category. For example, vehicle is a hypernym of car, and car is a hyponym of vehicle.
Hexspeak is a novelty form of variant English spelling using the hexadecimal digits. Created by programmers as memorable magic numbers, hexspeak words can serve as a clear and unique identifier with which to mark memory or data.
In software, a spell checker (or spelling checker or spell check) is a software feature that checks for misspellings in a text. Spell-checking features are often embedded in software or services, such as a word processor, email client, electronic dictionary, or search engine.
The word redrum (i.e., "red rum") is used this way for murder in the Stephen King novel The Shining (1977) and its film adaptation (1980). [ 11 ] Anadromes exist in other written languages as well, as can be seen, for example, in Spanish orar ↔ raro or French l'ami naturel ("the natural friend") ↔ le rut animal ("the animal rut").
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An extension of word vectors for creating a dense vector representation of unstructured radiology reports has been proposed by Banerjee et al. [23] One of the biggest challenges with Word2vec is how to handle unknown or out-of-vocabulary (OOV) words and morphologically similar words. If the Word2vec model has not encountered a particular word ...