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Saying Whatever It Takes: Creating and Analyzing Corpora from US Presidential Debate Transcripts


Vrana, Leo; Schneider, Gerold (2017). Saying Whatever It Takes: Creating and Analyzing Corpora from US Presidential Debate Transcripts. In: Corpus Linguistics Conference 2017, Birmingham, 25 July 2017 - 28 July 2017, 537-544.

Abstract

We first describe the creation of a corpus of American presidential debates from the American presidency project. We then use the corpus to present a stylistic analysis of presidential candidates from 2000 to 2016. A range of stylistic measures, including vocabulary richness, language complexity, and readability measures is applied. We aim to contribute to the current debate on the complexity of American presidential rhetoric and the role of the register of spoken language, by furnishing empirical data.

Abstract

We first describe the creation of a corpus of American presidential debates from the American presidency project. We then use the corpus to present a stylistic analysis of presidential candidates from 2000 to 2016. A range of stylistic measures, including vocabulary richness, language complexity, and readability measures is applied. We aim to contribute to the current debate on the complexity of American presidential rhetoric and the role of the register of spoken language, by furnishing empirical data.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:06 Faculty of Arts > English Department
06 Faculty of Arts > Institute of Computational Linguistics
06 Faculty of Arts > Center for Linguistics
Dewey Decimal Classification:820 English & Old English literatures
Language:English
Event End Date:28 July 2017
Deposited On:17 Jan 2018 15:41
Last Modified:19 Mar 2018 09:54
OA Status:Green
Free access at:Official URL. An embargo period may apply.
Official URL:http://paulslals.org.uk/ccr/CL2017ExtendedAbstracts.pdf
Related URLs:https://www.birmingham.ac.uk/research/activity/corpus/events/2017/cl2017/index.aspx (Organisation)

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