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.
Full text not available from this repository.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.