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:
Departments: Faculty of Science and Technology > School of Computing & Communications
Faculty of Arts & Social Sciences > Linguistics & English Language
ID Code: 138743
Deposited By: ep_importer_pure
Deposited On: 08 Nov 2019 14:40
Refereed?: Yes
Published?: Published
Last Modified: 19 Feb 2020 00:54
URI: https://eprints.lancs.ac.uk/id/eprint/138743

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