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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 paperpeer-review

Publication date25/07/2019
<mark>Original language</mark>English
EventCorpus Linguistics 2019 - Cardiff University, Cardiff, United Kingdom
Duration: 22/07/201926/07/2019


ConferenceCorpus Linguistics 2019
Abbreviated titleCL2019
Country/TerritoryUnited Kingdom
Internet address


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.