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Constructing Corpora from Images and Text:An introduction to Visual Constituent Analysis
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Visual Constituent Analysis:A Novel Method for Analysing Large Multimodal Text-Image Corpora
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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.
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URL: https://eprints.lancs.ac.uk/id/eprint/138743/
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