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  • Smail et al 2019 - AAM

    Rights statement: This is an Author’s Accepted Manuscript version of an article published by Edinburgh University Press in the International Journal of Humanities and Arts Computing (2019, vol. 13, pp. 28-38). The Version of Record is available online at: https://www.euppublishing.com/doi/full/10.3366/ijhac.2019.0229

    Accepted author manuscript, 377 KB, PDF document

    Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

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Qualitative Geographies in Digital Texts: Representing historical spatial identities in the Lake District

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published
<mark>Journal publication date</mark>31/10/2019
<mark>Journal</mark>International Journal of Humanities and Arts Computing
Issue number1-2
Volume13
Number of pages11
Pages (from-to)28-38
Publication StatusPublished
Early online date1/10/19
<mark>Original language</mark>English

Abstract

Techniques for extracting place names (toponyms) from texts and using them to conduct analyses of the geographies within the texts are becoming reasonably well established. These are generally referred to as Geographical Text Analysis (GTA) and allow us to ask questions about the geographies within a corpus. The limitation of this approach is that the geographies that can be uncovered are solely associated with toponyms for which a coordinate-based location can be assigned. While this method is valuable, it is effectively a quantitative representation of the geographies associated with named places. Other representations of geography are ignored. To complement GTA, we need to develop techniques that are capable of representing the more qualitative representations of geography that are found within texts. Drawing on the Corpus of Lake District Writing, this paper presents some initial ideas about how this can be achieved, primarily by using techniques from corpus linguistics.

Bibliographic note

This is an Author’s Accepted Manuscript version of an article published by Edinburgh University Press in the International Journal of Humanities and Arts Computing (2019, vol. 13, pp. 28-38). The Version of Record is available online at: https://www.euppublishing.com/doi/full/10.3366/ijhac.2019.0229