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Crossley, 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
Gaies, Stephen J. – 1976
The present study reports on exploratory research to determine whether the Aluminum Paragraph, a sentence-combining exercise developed by O'Donnell (Hunt, 1970) to measure the development of syntactic complexity in the writing of native speakers of English, can also serve as a measure of the active syntactic proficiency of learners of English as a…
Descriptors: Connected Discourse, English (Second Language), Language Instruction, Language Learning Levels