Visualising Collocation for Close Writing

dc.contributor.authorRoberts, Jonathan C.en_US
dc.contributor.authorButcher, Peter W. S.en_US
dc.contributor.authorLew, Roberten_US
dc.contributor.authorRees, Geraint Paulen_US
dc.contributor.authorSharma, Nirwanen_US
dc.contributor.authorFrankenberg-Garcia, Anaen_US
dc.contributor.editorKerren, Andreas and Garth, Christoph and Marai, G. Elisabetaen_US
dc.date.accessioned2020-05-24T13:52:18Z
dc.date.available2020-05-24T13:52:18Z
dc.date.issued2020
dc.description.abstractWe present how we have developed a visualisation tool and text editor to display collocations for the purpose of close writing. Collocations are words that combine together in a natural way. Our design study approach brought together a collaboration of experts in lexicography, language learning, and visualisation, starting with low-fidelity prototypes before developing fuller functional systems. We studied the challenge of how to visualise collocations, such to help language learners write more effectively. We have co-created (i) an expert-curated dataset of over 30,000 collocations, (ii) developed a text-editor which performs word analysis, and recommends collocations, and (iii) created several in-situ visualisations linked to the editor, to help users visualise and lookup collocations, and view example sentences. Every stage of development has been evaluated with language learners and other potential users, which has positively improved its design and functionality.en_US
dc.description.sectionheadersRendering, Images, and Applications
dc.description.seriesinformationEuroVis 2020 - Short Papers
dc.identifier.doi10.2312/evs.20201069
dc.identifier.isbn978-3-03868-106-9
dc.identifier.pages181-185
dc.identifier.urihttps://doi.org/10.2312/evs.20201069
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/evs20201069
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/]
dc.subjectHuman centered computing
dc.subjectInformation visualization
dc.subjectApplied computing
dc.subjectArts and humanities
dc.titleVisualising Collocation for Close Writingen_US
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