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The implicit association test is a testing method designed by Anthony Greenwald, Debbie McGhee and Jordan Schwartz, and was first introduced in 1998. [2] The IAT measures the associative strength between categories (e.g. Bug, Flower) and attributes (e.g. Bad, Good) by having participants rapidly classify stimuli that represent the categories and attributes of interest on a computer. [3]
TRACE is a connectionist model of speech perception, proposed by James McClelland and Jeffrey Elman in 1986. [1] It is based on a structure called "the TRACE", a dynamic processing structure made up of a network of units, which performs as the system's working memory as well as the perceptual processing mechanism. [2]
The examples and perspective in this article deal primarily with the English language and do not represent a worldwide view of the subject. You may improve this article, discuss the issue on the talk page, or create a new article, as appropriate. (June 2023) (Learn how and when to remove this message)
Two types of cognitive responses exist: direct and indirect. Direct responses are relevant to the material being presented and can increase persuasion. For example, when presented with the fact, “ 9 out of 10 college students drink alcohol”, and your cognitive response is, “ Yeah, I would say most of the people at my school are drinkers ...
There are different way to communicate such as direct and indirect communication. Direct communication clear states what their intentions or instructions are, while indirect communication relies on different forms of communication to relay their meaning or intentions. Direct communication strategies: using imperatives, statement of prohibition ...
Examples for the latter are loose language use (saying "I earn €2000 a month" when one really earns €1997.32), hyperbole, and metaphor. In other words, relevance theory views figurative language, just as literal language, as a description of an actual state of affairs (path (c) in the diagram), the only difference being the extent to which ...
Language acquisition is the process by which humans acquire the capacity to perceive and comprehend language. In other words, it is how human beings gain the ability to be aware of language, to understand it, and to produce and use words and sentences to communicate. Language acquisition involves structures, rules, and representation.
Computational modeling can also help to relate sentence processing to other functions of language. For example, one model of ERP effects in sentence processing (e.g., N400 and P600) argues that these phenomena arise out learning processes that support language acquisition and linguistic adaptation. [15]