Empirical constraints on computational theories of metaphor: Comments on Indurkhya

Richard J. Gerrig

doi:10.1016/0364-0213(89)90005-0

Empirical constraints on computational theories of metaphor: Comments on Indurkhya

Richard J. Gerrig

Psychology

Stony Brook University

Research output: Contribution to journal › Article › peer-review

24 Scopus citations

Abstract

Empirical analyses have provided some important constraints for computational theories of metaphor. Three such constraints relate to (1) the similar processing time for literal and metaphorical language, (2) the time-limited processing of many metaphors, and (3) the dissociation of metaphor comprehension and appreciation. Indurkhya's (1986, 1987) model is discussed with respect to these issues.

Original language	English
Pages (from-to)	235-241
Number of pages	7
Journal	Cognitive Science
Volume	13
Issue number	2
DOIs	https://doi.org/10.1016/0364-0213(89)90005-0
State	Published - 1989

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abstract = "Empirical analyses have provided some important constraints for computational theories of metaphor. Three such constraints relate to (1) the similar processing time for literal and metaphorical language, (2) the time-limited processing of many metaphors, and (3) the dissociation of metaphor comprehension and appreciation. Indurkhya's (1986, 1987) model is discussed with respect to these issues.",

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AB - Empirical analyses have provided some important constraints for computational theories of metaphor. Three such constraints relate to (1) the similar processing time for literal and metaphorical language, (2) the time-limited processing of many metaphors, and (3) the dissociation of metaphor comprehension and appreciation. Indurkhya's (1986, 1987) model is discussed with respect to these issues.

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Empirical constraints on computational theories of metaphor: Comments on Indurkhya

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