Analyzing writing styles with coh-metrix

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

52 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)
Title of host publicationFLAIRS 2006 - Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference
Pages764-769
Number of pages6
Volume2006
Publication statusPublished - 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)

Cite this

McCarthy, P. M., Lewis, G. A., Dufty, D. F., & McNamara, D. (2006). Analyzing writing styles with coh-metrix. In FLAIRS 2006 - Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference (Vol. 2006, pp. 764-769)