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Apophenia (/ æ p oʊ ˈ f iː n i ə /) is the tendency to perceive meaningful connections between unrelated things. [1]The term (German: Apophänie from the Greek verb: ἀποφαίνειν, romanized: apophaínein) was coined by psychiatrist Klaus Conrad in his 1958 publication on the beginning stages of schizophrenia. [2]
"Wandering planet" – the word planet comes from the Greek word 'πλανήτης (planḗtēs), which itself means "wanderer". "If you know, you know", a common English phrase. "A pair of two"; by its nature, a pair is two items, so "a pair of two" is redundant. "What's for you won't go by you", a Scottish proverb that is tautological
Onomatopoeia: a word or a grouping of words that imitates the sound it is describing; Phonetic reversal; Rhyme: a repetition of identical or similar sounds in two or more different words Alliteration: matching consonants sounds at the beginning of words; Assonance: matching vowel sounds; Consonance: matching consonant sounds
Much like the Stroop task, the printed word's color is different from the ink color of the word; however, the words are printed in such a way that it is more difficult to read (typically curved-shaped). [37] The idea here is the way the words are printed slows down both the brain's reaction and processing time, making it harder to complete the ...
Shereshevsky could recount endless details of many things without form, from lists of names to decades-old conversations, but he had great difficulty grasping abstract concepts. The automatic, and nearly permanent, retention of every detail due to synesthesia greatly inhibited Shereshevsky's ability to understand what he read or heard.
Hints for Today's Connections Sports Edition Categories on February 11, 2025. Here are some hints about the four categories to help you figure out the word groupings.
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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.