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  • RaysonEtAl-jlcl-2017

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Towards Interactive Multidimensional Visualisations for Corpus Linguistics

Research output: Contribution to journalJournal articlepeer-review

<mark>Journal publication date</mark>2017
<mark>Journal</mark>Journal for Language Technology and Computational Linguistics
Issue number1
Number of pages23
Pages (from-to)27-49
Publication StatusPublished
Early online date12/05/17
<mark>Original language</mark>English


We propose the novel application of dynamic and interactive visualisation techniques to support the iterative and exploratory investigations typical of the corpus linguistics methodology. Very large scale text analysis is already carried out in corpus-based language analysis by employing methods such as frequency profiling, keywords, concordancing, collocations and n-grams.
However, at present only basic visualisation methods are utilised. In this paper, we describe case studies of multiple types of key word clouds, explorer tools for collocation networks, and compare network and language distance visualisations for online social networks. These are shown to fit better with the iterative data-driven corpus methodology, and permit some level of scalability to cope with ever increasing corpus size and complexity. In addition, they will allow corpus linguistic methods to be used more widely in the digital humanities and social sciences since the learning curve with visualisations is shallower for non-experts