Hansard at Huddersfield: Adapting Corpus Linguistic Methods for Non-Specialist Use

Alexander Von Lunen; Lesley Jeffries; Fransina Stradling; Hugo Sanjurjo-González; Paul Crossley

doi:10.3366/ijhac.2023.0298

Hansard at Huddersfield: Adapting Corpus Linguistic Methods for Non-Specialist Use

Alexander Von Lunen, Lesley Jeffries, Fransina Stradling, Hugo Sanjurjo-González, Paul Crossley

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

This article introduces the Hansard at Huddersfield web application, which allows users to make a range of different searches of the Hansard data (1803–2021) and which draws on the insights of corpus linguistics (CL) and visualization techniques to appeal to researchers from backgrounds where these approaches are relatively underused. The web application aims to be accessible and includes advice on interpreting the results of searches as well as always allowing the user to access the original Hansard text. This article explains the scope and functionality of the site as well as its architecture, and gives example uses of the system.

Original language	English
Pages (from-to)	25-46
Number of pages	22
Journal	International Journal of Humanities and Arts Computing
Volume	17
Issue number	2
DOIs	https://doi.org/10.3366/ijhac.2023.0298
Publication status	Published - 1 Mar 2023

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Cite this

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abstract = "This article introduces the Hansard at Huddersfield web application, which allows users to make a range of different searches of the Hansard data (1803–2021) and which draws on the insights of corpus linguistics (CL) and visualization techniques to appeal to researchers from backgrounds where these approaches are relatively underused. The web application aims to be accessible and includes advice on interpreting the results of searches as well as always allowing the user to access the original Hansard text. This article explains the scope and functionality of the site as well as its architecture, and gives example uses of the system.",

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Hansard at Huddersfield: Adapting Corpus Linguistic Methods for Non-Specialist Use

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