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An antonym is one of a pair of words with opposite meanings. Each word in the pair is the antithesis of the other. A word may have more than one antonym. There are three categories of antonyms identified by the nature of the relationship between the opposed meanings.
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]
An unpaired word is one that, according to the usual rules of the language, would appear to have a related word but does not. [1] Such words usually have a prefix or suffix that would imply that there is an antonym , with the prefix or suffix being absent or opposite.
The logarithm of a number is the power (i.e., exponent) to which a specified base must be raised to produce that number. Standard: The board of directors developed an algorithm for choosing the company's new president from among the remaining candidates. Standard: The algorithm for long
A special type of acrostic in which the first letter of every word, strophe or verse follows the order of the alphabet. [1] acatalexis An acatalectic line of verse is one having the metrically complete number of syllables in the final foot. [2] accent Any noun used to describe the stress put on a certain syllable while speaking a word.
A number of scientific naming schemes can be used to generate arbitrarily long words. The IUPAC nomenclature for organic chemical compounds is open-ended, giving rise to the 189,819-letter chemical name Methionylthreonyl threonyl . . . iso leucine for the protein also known as titin, which is involved in striated muscle formation. In nature ...
For example, the phrase, "John, my best friend" uses the scheme known as apposition. Tropes (from Greek trepein, 'to turn') change the general meaning of words. An example of a trope is irony, which is the use of words to convey the opposite of their usual meaning ("For Brutus is an honorable man; / So are they all, all honorable men").
Based on text analyses, semantic relatedness between units of language (e.g., words, sentences) can also be estimated using statistical means such as a vector space model to correlate words and textual contexts from a suitable text corpus. The evaluation of the proposed semantic similarity / relatedness measures are evaluated through two main ways.