Visualising collocation for close writing
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Electronic versions
Links
- https://diglib.eg.org/bitstream/handle/10.2312/evs20201069/181-185.pdf?sequence=1&isAllowed=y
Final published version
We 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.
Keywords
- word collocation, visualisation, writing, Information visualisation, Human Computer Interaction, Five Design-Sheets
Original language | English |
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Title of host publication | Visualising Collocation for Close Writing |
Editors | Andreas Kerren, Christoph Garth, Elisabeta G. Marai |
Publisher | The Eurographics Association |
ISBN (electronic) | 978-3-03868-106-9 |
Publication status | Published - 27 May 2020 |
Research outputs (16)
- Published
Less is more: Focused Design and Problem Framing in Visualisation – Developing the ColloCaid Collocation Editor
Research output: Contribution to conference › Paper › peer-review
- Published
Personalised Authentic assessments with Synchronous Learning Activities: a Framework for Teaching Visualisation and Graphics
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
- Published
ColloCaid: a tool to help academic English writers find the words they need
Research output: Contribution to conference › Paper › peer-review
Projects (1)
Collocaid: combining learner needs, lexicographic data, text editors
Project: Research