SPARSENESS AND ENTROPY IN SEMANTIC CHANGE: PRECEDENTS FROM EARLY VISION

What is the difference between description and explanation in linguistics? We take
 explanation to be the reduction of description to independently motivated general principles.
 For language, a promising source of independently motivated general principles can be found in neuroscien...

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Main Author: Harry Howard
Format: Article
Language:English
Published: Universidad de Murcia 2007-06-01
Series:International Journal of English Studies (IJES)
Subjects:
Online Access:http://revistas.um.es/ijes/article/view/48841
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author Harry Howard
author_facet Harry Howard
author_sort Harry Howard
collection DOAJ
description What is the difference between description and explanation in linguistics? We take
 explanation to be the reduction of description to independently motivated general principles.
 For language, a promising source of independently motivated general principles can be found in neuroscience, and especially computational neuroscience. As an example, we consider the notion of historical change in word meaning, which in cognitive semantics is often described in terms of conceptual metaphor, metonymy and synecdoche. Why does language rely on these three mental abilities and not some others? We argue that it is because the brain depends on the computational principles of sparseness and entropy to generate efficient mental representations. These principles have been found at work in primary and secondary visual cortex, so that a proper understanding of semantic change takes us through the physiology of early visual cognition.
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spelling doaj.art-63b5095e06ad4b2ab07b35c3cf88c9482022-12-22T03:15:12ZengUniversidad de MurciaInternational Journal of English Studies (IJES)1578-70442007-06-0171173410.6018/ijes.7.1.48841SPARSENESS AND ENTROPY IN SEMANTIC CHANGE: PRECEDENTS FROM EARLY VISIONHarry HowardWhat is the difference between description and explanation in linguistics? We take
 explanation to be the reduction of description to independently motivated general principles.
 For language, a promising source of independently motivated general principles can be found in neuroscience, and especially computational neuroscience. As an example, we consider the notion of historical change in word meaning, which in cognitive semantics is often described in terms of conceptual metaphor, metonymy and synecdoche. Why does language rely on these three mental abilities and not some others? We argue that it is because the brain depends on the computational principles of sparseness and entropy to generate efficient mental representations. These principles have been found at work in primary and secondary visual cortex, so that a proper understanding of semantic change takes us through the physiology of early visual cognition.http://revistas.um.es/ijes/article/view/48841semantic changemetaphormetonymysynecdochesparsenessentropyvisual cortexcomputational neuroscience
spellingShingle Harry Howard
SPARSENESS AND ENTROPY IN SEMANTIC CHANGE: PRECEDENTS FROM EARLY VISION
International Journal of English Studies (IJES)
semantic change
metaphor
metonymy
synecdoche
sparseness
entropy
visual cortex
computational neuroscience
title SPARSENESS AND ENTROPY IN SEMANTIC CHANGE: PRECEDENTS FROM EARLY VISION
title_full SPARSENESS AND ENTROPY IN SEMANTIC CHANGE: PRECEDENTS FROM EARLY VISION
title_fullStr SPARSENESS AND ENTROPY IN SEMANTIC CHANGE: PRECEDENTS FROM EARLY VISION
title_full_unstemmed SPARSENESS AND ENTROPY IN SEMANTIC CHANGE: PRECEDENTS FROM EARLY VISION
title_short SPARSENESS AND ENTROPY IN SEMANTIC CHANGE: PRECEDENTS FROM EARLY VISION
title_sort sparseness and entropy in semantic change precedents from early vision
topic semantic change
metaphor
metonymy
synecdoche
sparseness
entropy
visual cortex
computational neuroscience
url http://revistas.um.es/ijes/article/view/48841
work_keys_str_mv AT harryhoward sparsenessandentropyinsemanticchangeprecedentsfromearlyvision