Linguistic Features of Writing Quality

By Danielle S. McNamara, Scott Andrew Crossley, P. M. McCarthy. 2010

627 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/123ba81faac0776d585661a64f0bde6948df27a4

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Citations in the corpus

The tool for the automatic analysis of text cohesion (TAACO): Automatic assessment of local, global, and text cohesion (2015, methodology): “…has suggested that the use of local cohesion devices may have little to no relation to expert ratings of text quality (McNamara et al. 2013; McNamara et al. 2010a, b), and some cohesion research has even yielded negative correlations to writing quality (Crossley & McNamara, 2010, 2011,…”
What Linguistic Features Are Indicative of Writing Quality? A Case of Argumentative Essays in a College Composition Program (2013, background): “McNamara, Crossley, and McCarthy (2010) found that the best indicators of writing quality included features such as verb phrase complexity (number of words before main verb), lexical diversity, and use of less frequent words, again lending support to the claim that complexity measures beyond the…”
Predicting Second Language Writing Proficiency: The Roles of Cohesion and Linguistic Sophistication (2012, background): “Like first language writers, L2 writers evaluated as being highly proficient do not appear to produce texts that are more cohesive, but instead produce texts that demonstrate more linguistic sophistication (e.g. McNamara et al., 2010).”
Automatically Assessing Lexical Sophistication: Indices, Tools, Findings, and Application (2015, background): “…psycholinguistic properties of words, which have been of interest in the field of cognitive science for some time (e.g., Coltheart, 1981), have also been tied to lexical sophistication (e.g., Crossley et al., 2010, 2011a; Crossley, Salsbury, McNamara, & Jarvis, 2011b; McNamara et al., 2010).”
Cohesion, coherence, and expert evaluations of writing proficiency (2010, methodology): “Thus, unlike McNamara et al. (2010), we do not rely solely on computational indices to model overall essay quality, but instead concentrate on the evaluation of human judgments of individual text features in relation to overall text quality.”
Do Massively Pretrained Language Models Make Better Storytellers? (2019, background): “Low complexity can be a sign of less sophisticated writing, while high complexity can be a sign of poor readability (Beers and Nagy, 2009; McNamara et al., 2010).”
MTLD, vocd-D, and HD-D: A validation study of sophisticated approaches to lexical diversity assessment (2010, methodology): “This default factor size is used in the MTLD prototype that features in the Coh-Metrix suite of textual analysis indices and is the factor size used in the engineering studies that have incorporated MTLD (e.g., Crossley & McNamara, in press; McNamara et al., 2010).”