Visual Constituent Analysis:A Novel Method for Analysing Large Multimodal Text-Image Corpora

Dance, William and Christiansen, Alex and Wild, Alexander (2019) Visual Constituent Analysis:A Novel Method for Analysing Large Multimodal Text-Image Corpora. In: Corpus Linguistics 2019, 2019-07-222019-07-26, Cardiff University.

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Abstract

This presentation examines the initial results of Visual Constituent Analysis (hereafter ‘VCA’); a novel, vision-based approach to creating multimodal corpora from text and imag-es. As opposed to classic approaches analysing text-image relation, where text functions as context to the visual stimuli, or vice versa, VCA presents images as a series of individual se-miotic constituents, which can then be shown in-line with the text. The approach comprises a new method of corpus construction that efficiently processes large amounts of image data, allowing for the use of traditional text-based corpus methods.

Item Type:
Contribution to Conference (Paper)
Journal or Publication Title:
Corpus Linguistics 2019
Subjects:
ID Code:
138743
Deposited By:
Deposited On:
08 Nov 2019 14:40
Refereed?:
Yes
Published?:
Published
Last Modified:
26 Sep 2020 00:55