Corpus Analysis on Students’ Counter and Support Arguments in Argumentative Writing

Philip M. McCarthy, Noor W. Kaddoura, Ayah Al-Harthy, Anuja M. Thomas, Nicholas D. Duran, Khawlah Ahmed

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


This study analyzes the linguistic features of counter-arguments and support arguments using two computational linguistic tools: Coh-Metrix and Gramulator. The research question investigates whether counter-argument paragraphs and support paragraphs are different in terms of their linguistic features. To conduct this study, a corpus of 78 argumentative papers was collected. The paragraphs in the papers were categorized in terms of their function. The categories included functions of Support, Counter-argument, Expostulation, Counter-argument and Expostulation, Background, and Other. The paragraphs were analyzed for their readability and writing quality through Coh-Metrix. With the exception of the measure of Deep Cohesion, the Coh-Metrix results suggest minimal differences in terms of readability and writing quality between counter-argument and support paragraphs. Following the Coh-Metrix analysis, both counter-argument and support corpora were analyzed through Gramulator for their lexical features.

Original languageEnglish (US)
Pages (from-to)256-271
Number of pages16
JournalPegem Egitim ve Ogretim Dergisi
Issue number1
StatePublished - Jan 2 2022


  • Auto-peer
  • Coh-metrix
  • Counter-arguments
  • Gramulator
  • Tagged language

ASJC Scopus subject areas

  • Education


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