Visualisation in corpus-based discourse studies

Laurence Anthony*

*この研究の対応する著者

研究成果: Chapter

12 被引用数 (Scopus)

抄録

One of the primary goals of discourse analysis is providing us with an understanding of how written and spoken language influences and is influenced by social identities and relationships between people (Paltridge 2012: 2). In short, it is the study of language in use. Clearly, the interactions and connections between people and language are complex, so it is not surprising that discourse analysts dedicate huge amounts of time to the close reading of texts and the construction of detailed models that explain this complexity. Discourse analysts often exemplify these models using extended text extracts and quotations. It is also common to see researchers using diagrams and infographics to show discourse structure models, turn taking procedures and other features of discourse. However, discourse analysts are much less likely to use bar charts, line charts, scatter plots and other visualisation techniques that are commonly used in quantitative data analysis. As an example, out of the 23 figures included in Paltridge’s (2012) introduction to discourse analysis, not one can be considered to be a quantitative data visualisation. Of course, this is not surprising considering the qualitative nature of the subject matter.

本文言語English
ホスト出版物のタイトルCorpus Approaches to Discourse
ホスト出版物のサブタイトルA Critical Review
出版社Taylor and Francis
ページ197-224
ページ数28
ISBN(電子版)9781351716079
ISBN(印刷版)9781138895782
出版ステータスPublished - 2018 1月 1

ASJC Scopus subject areas

  • 人文科学(全般)
  • 社会科学(全般)

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