The Effect of Cohesive Features in Integrated and Independent L2 Writing Quality and Text Classification
Cohesion features were calculated for a corpus of 960 essays by 480 test-takers from the Test of English as a Foreign Language (TOEFL) in order to examine differences in the use of cohesion devices between integrated (source-based) writing and independent writing samples. Cohesion indices were measured using an automated textual analysis tool, the Tool for the Automatic Assessment of Cohesion (TAACO). A discriminant function analysis correctly classified essays as either integrated or independent in 92.3 per cent of cases. Integrated writing was marked by higher use of specific connectives and greater lexical overlap of content words between textual units, whereas independent writing was marked by greater lexical overlap of function words, especially pronouns. Regression analyses found that cohesive indices which distinguish tasks predict writing quality judgments more strongly in independent writing. However, the strongest predictor of human judgments was the same for both tasks: lexical overlap of function words. The findings demonstrate that text cohesion is a multidimensional construct shaped by the writing task, yet the measures of cohesion which affect human judgments of writing quality are not entirely different across tasks. These analyses allow us to better understand cohesive features in writing tasks and implications for automated writing assessment.
Copyright (c) 2019 Rurik Tywoniw, Scott Crossley
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