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Lame, Insane and Depressed: A Corpus-Based Study of Clinical Adjectives and Their Blending Processes
Luleå University of Technology, Department of Arts, Communication and Education, Education, Language, and Teaching.
2017 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

The study maps different usages of three clinical adjectives: lame, insane and depressed by consulting the Corpus of Online Registers of English, the CORE. The study categorizes the usage with respect to clinical and non-clinical senses of the adjectives. It discusses the different usages of each adjective and what the adjective typically modifies, based on the data in the corpus. Further, the study aims to account for the non-clinical usages with the help of Fauconnier and Turner’s (2002) Conceptual Blending Theory. The study offers blending diagrams of generalized utterances containing one of the adjectives and a common modified. The study concludes that the adjectives are used in non-clinical ways in a majority of the data and that the blending diagrams had restricted function but could account for some parts of the blending process. Finally, the study states that uniting a usage-based approach and a cognitive linguistic approach to linguistic phenomena of this kind is a way to trace nuances in language use that otherwise would pass unnoticed.

Place, publisher, year, edition, pages
2017.
National Category
Languages and Literature Humanities and the Arts
Identifiers
URN: urn:nbn:se:ltu:diva-63754OAI: oai:DiVA.org:ltu-63754DiVA, id: diva2:1107139
Subject / course
Student thesis, at least 15 credits
Educational program
English, bachelor's level
Supervisors
Examiners
Available from: 2017-08-01 Created: 2017-06-09 Last updated: 2017-08-01Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf