Analyzing writing styles with coh-metrix

Philip M. McCarthy, Gwyneth A. Lewis, David F. Dufty, Danielle S. McNamara

Research output: Contribution to conferencePaperpeer-review

58 Scopus citations

Abstract

Computer scientists, linguists, stylometricians, and cognitive scientists have successfully divided corpora into modes, domains, genres, registers, and authors. The limitations for these successes, however, often result from insufficient indices with which their corpora are analyzed. In this paper, we use Coh-Metrix, a computational tool that analyzes text on over 200 indices of cohesion and difficulty. We demonstrate how, with the benefit of statistical analysis, texts can be analyzed for subtle, yet meaningful differences. In this paper, we report evidence that authors within the same register can be computationally distinguished despite evidence that stylistic markers can also shift significantly over time.

Original languageEnglish (US)
Pages764-769
Number of pages6
StatePublished - Jul 24 2006
Externally publishedYes
EventFLAIRS 2006 - 19th International Florida Artificial Intelligence Research Society Conference - Melbourne Beach, FL, United States
Duration: May 11 2006May 13 2006

Other

OtherFLAIRS 2006 - 19th International Florida Artificial Intelligence Research Society Conference
CountryUnited States
CityMelbourne Beach, FL
Period5/11/065/13/06

ASJC Scopus subject areas

  • Engineering(all)

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