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Chen, Jing; Zhang, Mo; Bejar, Isaac I. – ETS Research Report Series, 2017
Automated essay scoring (AES) generally computes essay scores as a function of macrofeatures derived from a set of microfeatures extracted from the text using natural language processing (NLP). In the "e-rater"® automated scoring engine, developed at "Educational Testing Service" (ETS) for the automated scoring of essays, each…
Descriptors: Computer Assisted Testing, Scoring, Automation, Essay Tests
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Kambanaros, Maria; Grohmann, Kleanthes K.; Michaelides, Michalis – First Language, 2013
Previous evidence shows that nouns are easier for many language users to retrieve than verbs, but scant research has been conducted with children in bilectal environments (where both standard and non-standard forms of a language are spoken). This study investigates object and action naming in children who are native speakers of a non-standard…
Descriptors: Nouns, Verbs, Nonstandard Dialects, Preschool Children