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

Research output: Contribution to conference - Without ISBN/ISSN Conference paper

Published
Publication date25/07/2019
<mark>Original language</mark>English
EventCorpus Linguistics 2019 - Cardiff University, Cardiff, United Kingdom
Duration: 22/07/201926/07/2019
http://www.cl2019.org/index.php/cl2019-app/

Conference

ConferenceCorpus Linguistics 2019
Abbreviated titleCL2019
CountryUnited Kingdom
CityCardiff
Period22/07/1926/07/19
Internet address

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.