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"Avoid clichés like the plague." "Don't listen to any advice." "Ending a sentence with a preposition is one thing that I will not put up with." "English is the crème de la crème of all languages." "Eschew obfuscation, espouse elucidation." "It is bad to carelessly split infinitives." "Never use no double negatives." "No sentence fragments."
A double negative is a construction occurring when two forms of grammatical negation are used in the same sentence. This is typically used to convey a different shade of meaning from a strictly positive sentence ("You're not unattractive" vs "You're attractive").
But the term "double negative" can sometimes refer to the standard English constructions called litotes or nested negatives, e.g., using "He is not unhealthy" to mean "He is healthy". In some cases, nested negation is used to convey nuance, uncertainty, or the possibility of a third option other than a statement or its negation.
(the NPI anywhere is used in the environment of the preceding negative not) Note that double-negative constructions like I was not going nowhere take on an opposing meaning in formal usage, but that this is not necessarily the case in colloquial contexts and in various lects, which parallels other languages which have negative concord.
In linguistics and grammar, affirmation (abbreviated AFF) and negation (NEG) are ways in which grammar encodes positive and negative polarity into verb phrases, clauses, or other utterances. An affirmative (positive) form is used to express the validity or truth of a basic assertion, while
In rhetoric, litotes (/ l aɪ ˈ t oʊ t iː z, ˈ l aɪ t ə t iː z /, US: / ˈ l ɪ t ə t iː z /), [1] also known classically as antenantiosis or moderatour, is a figure of speech and form of irony in which understatement is used to emphasize a point by stating a negative to further affirm a positive, often incorporating double negatives for effect.
The stock market's feverish rally following Donald Trump's presidential election victory may have just been an early appetizer for a strong few months of gains. "Exuberance lies ahead," Julian ...
The false positive rate (FPR) is the proportion of all negatives that still yield positive test outcomes, i.e., the conditional probability of a positive test result given an event that was not present. The false positive rate is equal to the significance level. The specificity of the test is equal to 1 minus the false positive rate.