What can cognitive linguistics tell us about language-image relations?: a multidimensional approach to intersemiotic convergence in multimodal text
What can cognitive linguistics tell us about language-image relations?: a multidimensional approach to intersemiotic convergence in multimodal text
In contrast to symbol-manipulation approaches, Cognitive Linguistics offers a modal rather than an amodal account of meaning in language. From this perspective, the meanings attached to linguistic expressions, in the form of conceptualisations, have various properties in common with visual forms of representation. This makes Cognitive Linguistics a potentially useful framework for identifying and analysing language-image relations in multimodal texts. In this paper, we investigate language-image relations with a specific focus on intersemiotic convergence. Analogous with research on gesture, we extend the notion of co-text images and argue that images and language usages which are proximal to one another in a multimodal text can be expected to exhibit the same or consistent construals of the target scene. We outline some of the dimensions of conceptualisation along which intersemiotic convergence may be enacted in texts, including event-structure, viewpoint, distribution of attention and metaphor. We take as illustrative data photographs and their captions in online news texts covering a range of topics including immigration, political protests, and inter-state conflict. Our analysis suggests the utility of Cognitive Linguistics in allowing new potential sites of intersemiotic convergence to be identified and in proffering an account of language-image relations that is based in language cognition.
529-562
Marmol Queralto, Javier
b983853a-3e21-4d34-a2f4-02483ff3aa99
Hart, Chris
0baa3cff-7f66-409a-831d-49c5ef6da335
30 November 2021
Marmol Queralto, Javier
b983853a-3e21-4d34-a2f4-02483ff3aa99
Hart, Chris
0baa3cff-7f66-409a-831d-49c5ef6da335
Marmol Queralto, Javier and Hart, Chris
(2021)
What can cognitive linguistics tell us about language-image relations?: a multidimensional approach to intersemiotic convergence in multimodal text.
Cognitive Linguistics, 32 (4), .
(doi:10.1515/cog-2021-0039).
Abstract
In contrast to symbol-manipulation approaches, Cognitive Linguistics offers a modal rather than an amodal account of meaning in language. From this perspective, the meanings attached to linguistic expressions, in the form of conceptualisations, have various properties in common with visual forms of representation. This makes Cognitive Linguistics a potentially useful framework for identifying and analysing language-image relations in multimodal texts. In this paper, we investigate language-image relations with a specific focus on intersemiotic convergence. Analogous with research on gesture, we extend the notion of co-text images and argue that images and language usages which are proximal to one another in a multimodal text can be expected to exhibit the same or consistent construals of the target scene. We outline some of the dimensions of conceptualisation along which intersemiotic convergence may be enacted in texts, including event-structure, viewpoint, distribution of attention and metaphor. We take as illustrative data photographs and their captions in online news texts covering a range of topics including immigration, political protests, and inter-state conflict. Our analysis suggests the utility of Cognitive Linguistics in allowing new potential sites of intersemiotic convergence to be identified and in proffering an account of language-image relations that is based in language cognition.
Text
10.1515_cog-2021-0039
- Version of Record
More information
Accepted/In Press date: 18 September 2021
e-pub ahead of print date: 5 October 2021
Published date: 30 November 2021
Identifiers
Local EPrints ID: 474285
URI: http://eprints.soton.ac.uk/id/eprint/474285
ISSN: 1613-3641
PURE UUID: f17d21b8-85aa-4874-8110-3dc52acec128
Catalogue record
Date deposited: 17 Feb 2023 17:33
Last modified: 17 Mar 2024 04:17
Export record
Altmetrics
Contributors
Author:
Chris Hart
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics