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Anomia is consistently seen in aphasia, so many treatment techniques aim to help patients with word finding problems. One example of a semantic approach is referred to as semantic feature analyses. The process includes naming the target object shown in the picture and producing words that are semantically related to the target.
Reading is an area that has been extensively studied via the computational model system. The dual-route cascaded model (DRC) was developed to understand the dual-route to reading in humans. [14] Some commonalities between human reading and the DRC model are: [5] Frequently occurring words are read aloud faster than non-frequently occurring words.
The term semantic feature is usually used interchangeably with the term semantic component. [9] Additionally, semantic features/semantic components are also often referred to as semantic properties. [10] The theory of componential analysis and semantic features is not the only approach to analyzing the semantic structure of words. An ...
Semantic associations allow for faster object recognition. When an object has previously been associated with some sort of semantic meaning, people are more prone to correctly identify the object. Research has shown that semantic associations allow for a much quicker recognition of an object, even when the object is being viewed at varying angles.
In cognitive psychology, fast mapping is the term used for the hypothesized mental process whereby a new concept is learned (or a new hypothesis formed) based only on minimal exposure to a given unit of information (e.g., one exposure to a word in an informative context where its referent is present).
Performance in verbal fluency tests show a number of consistent characteristics in both children and adults: [13] [6] [14] A declining rate of production of new items over the duration of the task, which was long discussed as following either an exponential [15] or a hyperbolic [16] time course, [7] which finally could be shown to be special cases of a unifying power function (the fused ...
While convergent semantic processing and the activation of common word meanings and semantic features are advantageous for various linguistic tasks, the left hemisphere faces challenges in scenarios where the recognition of an ambiguous word requires the activation of multiple primes that can either converge into a subordinate meaning or ...
Componential analysis is a method typical of structural semantics which analyzes the components of a word's meaning. Thus, it reveals the culturally important features by which speakers of the language distinguish different words in a semantic field or domain (Ottenheimer, 2006, p. 20).