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Download full textTywoniw, Rurik; Crossley, Scott – Language Education & Assessment, 2019
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…
Descriptors: English (Second Language), Language Tests, Second Language Learning, Connected Discourse
Direct linkCrossley, Scott A.; Kim, YouJin – Language Assessment Quarterly, 2019
The current study examined the effects of text-based relational (i.e., cohesion), propositional-specific (i.e., lexical), and syntactic features in a source text on subsequent integration of the source text in spoken responses. It further investigated the effects of word integration on human ratings of speaking performance while taking into…
Descriptors: Individual Differences, Syntax, Oral Language, Speech Communication
Crossley, Scott A.; Kyle, Kristopher; Allen, Laura K.; Guo, Liang; McNamara, Danielle S. – Grantee Submission, 2014
This study investigates the potential for linguistic microfeatures related to length, complexity, cohesion, relevance, topic, and rhetorical style to predict L2 writing proficiency. Computational indices were calculated by two automated text analysis tools (Coh- Metrix and the Writing Assessment Tool) and used to predict human essay ratings in a…
Descriptors: Computational Linguistics, Essays, Scoring, Writing Evaluation
