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This is an accepted version of this page This is the latest accepted revision, reviewed on 2 December 2024. This is a list of onomatopoeias, i.e. words that imitate, resemble, or suggest the source of the sound that they describe. For more information, see the linked articles. Human vocal sounds Achoo, Atishoo, the sound of a sneeze Ahem, a sound made to clear the throat or to draw attention ...
One example is the English word bleat for sheep noise: in medieval times it was pronounced approximately as blairt (but without an R-component), or blet with the vowel drawled, which more closely resembles a sheep noise than the modern pronunciation.
A man blowing a raspberry. Blowing a raspberry, razzing or making a Bronx cheer, is to make a noise similar to flatulence that may signify derision, real or feigned. It is made by placing the tongue between the lips and blowing.
Certain words in the English language represent animal sounds: the noises and vocalizations of particular animals, especially noises used by animals for communication. The words can be used as verbs or interjections in addition to nouns, and many of them are also specifically onomatopoeic.
Whooping is another name given to the same kind of noise making as hollering. [2] This source separately notes that a shout "may be angry or joyous; it may be directed to one person or many; and, sometimes, its purpose may be merely for the satisfaction of release or of hearing an echo". [3]
One of the biggest hurdles may be something called "food noise." Yes, you heard that right. We're here today to discuss whether food noise is making you gain weight, and if so, how to silence it.
Mhm is between a literal language and movement, by making a noise "hmm" or "mhm", to make a pause for the conversation or as a chance to stop and think. The "mhm" utterance is often used in narrative interviews, such as an interview with a disaster survivor or sexual violence victim.
Noisy text is text with differences between the surface form of a coded representation of the text and the intended, correct, or original text. [1] The noise may be due to typographic errors or colloquialisms always present in natural language and usually lowers the data quality in a way that makes the text less accessible to automated processing by computers, including natural language ...