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Towards Interactive Multidimensional Visualisations for Corpus Linguistics

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Towards Interactive Multidimensional Visualisations for Corpus Linguistics. / Rayson, Paul Edward; Mariani, John Amedeo; Anderson-Cooper, Bryce; Baron, Alistair; Gullick, David Stephen; Moore, Andrew; Wattam, Steve.

In: Journal for Language Technology and Computational Linguistics, Vol. 31, No. 1, 2017, p. 27-49.

Research output: Contribution to journalJournal article

Harvard

Rayson, PE, Mariani, JA, Anderson-Cooper, B, Baron, A, Gullick, DS, Moore, A & Wattam, S 2017, 'Towards Interactive Multidimensional Visualisations for Corpus Linguistics', Journal for Language Technology and Computational Linguistics, vol. 31, no. 1, pp. 27-49.

APA

Rayson, P. E., Mariani, J. A., Anderson-Cooper, B., Baron, A., Gullick, D. S., Moore, A., & Wattam, S. (2017). Towards Interactive Multidimensional Visualisations for Corpus Linguistics. Journal for Language Technology and Computational Linguistics, 31(1), 27-49.

Vancouver

Rayson PE, Mariani JA, Anderson-Cooper B, Baron A, Gullick DS, Moore A et al. Towards Interactive Multidimensional Visualisations for Corpus Linguistics. Journal for Language Technology and Computational Linguistics. 2017;31(1):27-49.

Author

Rayson, Paul Edward ; Mariani, John Amedeo ; Anderson-Cooper, Bryce ; Baron, Alistair ; Gullick, David Stephen ; Moore, Andrew ; Wattam, Steve. / Towards Interactive Multidimensional Visualisations for Corpus Linguistics. In: Journal for Language Technology and Computational Linguistics. 2017 ; Vol. 31, No. 1. pp. 27-49.

Bibtex

@article{970a352c7c53441089d59f93e79b0f52,
title = "Towards Interactive Multidimensional Visualisations for Corpus Linguistics",
abstract = "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",
author = "Rayson, {Paul Edward} and Mariani, {John Amedeo} and Bryce Anderson-Cooper and Alistair Baron and Gullick, {David Stephen} and Andrew Moore and Steve Wattam",
year = "2017",
language = "English",
volume = "31",
pages = "27--49",
journal = "Journal for Language Technology and Computational Linguistics",
issn = "2190-6858",
number = "1",

}

RIS

TY - JOUR

T1 - Towards Interactive Multidimensional Visualisations for Corpus Linguistics

AU - Rayson, Paul Edward

AU - Mariani, John Amedeo

AU - Anderson-Cooper, Bryce

AU - Baron, Alistair

AU - Gullick, David Stephen

AU - Moore, Andrew

AU - Wattam, Steve

PY - 2017

Y1 - 2017

N2 - 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

AB - 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

M3 - Journal article

VL - 31

SP - 27

EP - 49

JO - Journal for Language Technology and Computational Linguistics

JF - Journal for Language Technology and Computational Linguistics

SN - 2190-6858

IS - 1

ER -