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Mad Gab is a board game involving words. At least two teams of 2–12 players have two minutes to sound out three puzzles. The puzzles are known as mondegreens and contain small words that, when put together, make a word or phrase. For example, "These If Hill Wore" when pronounced quickly sounds like "The Civil War".
A sentence may also be broken down by functional parts: subject, object, adverbial, verb (predicator). [6] The subject is the owner of an action, the verb represents the action, the object represents the recipient of the action, and the adverbial qualifies the action. The various parts can be phrases rather than individual words.
An image conditioned on the prompt an astronaut riding a horse, by Hiroshige, generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.
Natural language processing (NLP) is a subfield of computer science and especially artificial intelligence.It is primarily concerned with providing computers with the ability to process data encoded in natural language and is thus closely related to information retrieval, knowledge representation and computational linguistics, a subfield of linguistics.
The person-action-object (PAO) system is the most complex. [3] It associates all numbers 00-99 with a distinctive person, action and object. Any six-digit number can be memorized by using the person assigned the first two digits, the action of the next two digits and the object of the third. [3] For example: The number 34 could be Frank Sinatra.
Similarly, an image model prompted with the text "a photo of a CEO" might disproportionately generate images of white male CEOs, [112] if trained on a racially biased data set. A number of methods for mitigating bias have been attempted, such as altering input prompts [ 113 ] and reweighting training data.
Drawing, image recognition, wordplay, vocabulary Pictionary ( / ˈ p ɪ k ʃ ən ər i / , US : /- ɛr i / ) is a charades -inspired word-guessing game invented by Robert Angel with graphic design by Gary Everson and first published in 1985 by Angel Games Inc. [ 1 ] Angel Games licensed Pictionary to Western Publishing .
The role of the MTG in extracting meaning from sentences has been demonstrated in functional imaging studies reporting stronger activation in the anterior MTG when proper sentences are contrasted with lists of words, sentences in a foreign or nonsense language, scrambled sentences, sentences with semantic or syntactic violations and sentence ...
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related to: action word in a sentence generator with sound and image id