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In an amphibrachic pair, each word is an amphibrach and has the second syllable stressed and the first and third syllables unstressed. attainder, remainder; autumnal, columnal; concoction, decoction (In GA, these rhyme with auction; there is also the YouTube slang word obnoxion, meaning something that is obnoxious.) distinguish, extinguish
Word Association is a common word game involving an exchange of words that are associated together. The game is based on the noun phrase word association, meaning "stimulation of an associative pattern by a word" [1] or "the connection and production of other words in response to a given word, done spontaneously as a game, creative technique, or in a psychiatric evaluation".
cattalo, from cattle and buffalo [2]; donkra, from donkey and zebra (progeny of donkey stallion and zebra mare) cf. zedonk below; llamanaco, from llama and guanaco [3]; wholphin, from whale and dolphin [2]
In linguistics, a blend—also known as a blend word, lexical blend, or portmanteau [a] —is a word formed by combining the meanings, and parts of the sounds, of two or more words together. [ 2 ] [ 3 ] [ 4 ] English examples include smog , coined by blending smoke and fog , [ 3 ] [ 5 ] as well as motel , from motor ( motorist ) and hotel .
The expression "macaroni and cheese" is an irreversible binomial.The order of the two keywords of this familiar expression cannot be reversed idiomatically.. In linguistics and stylistics, an irreversible binomial, [1] frozen binomial, binomial freeze, binomial expression, binomial pair, or nonreversible word pair [2] is a pair of words used together in fixed order as an idiomatic expression ...
In language, words are not only categorized into phrases, clauses, and sentences. Words are also organized into prosodic envelopes. The idea of a prosodic envelope is that words that go together syntactically also form a similar intonation pattern. This explains how children discover syllable and word
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Word2vec is a group of related models that are used to produce word embeddings.These models are shallow, two-layer neural networks that are trained to reconstruct linguistic contexts of words.