A Linguistic Analysis of Simplified and Authentic Texts
By Scott Andrew Crossley, Max M. Louwerse, P. M. McCarthy, Danielle S. McNamara. 2007
304 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Developmental and Educational Psychology
View Paper: https://www.semanticscholar.org/paper/aeb652dda90c96c546a18da764aca5607bcdc414
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Scott Andrew Crossley
- Danielle S. McNamara
- A. Graesser
- Max M. Louwerse
- P. M. McCarthy
- Anne Kao
- Steve Poteet
- K. Kyle
In Developmental and Educational Psychology
- Scott Andrew Crossley
- Danielle S. McNamara
- A. Graesser
- P. M. McCarthy
- Anne Kao
- Steve Poteet
- Max M. Louwerse
- K. Kyle
Citations in the corpus
- Natural Language Processing and Text Mining (2006, methodology): “The two kernels are also evaluated on the task of extracting top-level relations from the ACE corpus [12], the version used for the September 2002 evaluation.”
- Linguistic Features of Writing Quality (2010, methodology): “The Coh-Metrix indices for cohesion have been validated across a number of other studies distinguishing text types (Crossley et al., 2007; McCarthy et al., 2006, 2007).”
- Coh-Metrix: Capturing Linguistic Features of Cohesion (2010, background): “Readability formulas became popular in the 1950s with the research of scholars such as Flesch (1948) and Dale and Chall (1949). By the 1980s, over 200 readability measures had been developed, with over a 1000 supporting studies (Chall & Dale, 1995; Dubay, 2004).”
- Predicting Second Language Writing Proficiency: The Roles of Cohesion and Linguistic Sophistication (2012, background): “More recently, L2 writing researchers have begun to take advantage of computational tools that provide more sophisticated linguistic indices, such as Coh-Metrix (Crossley & McNamara, 2009; McCarthy et al., 2007).”