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…

A body of studies, which are mostly based on parental reports, have documented gender differences in early language proficiency, and girls tend to outperform boys in both language production and language comprehension. In this study, staff in Norwegian Early Childhood Education and Care institutions observed language comprehension, word…

Two groups of 12-year-old ethnic minority (EM) users of alphasyllabary (66 Tibetan and 45 Yi) were compared with 42 Han Chinese students in comprehending Chinese narrative and expository texts, each with inferential questions requiring short open-ended written answers. Three constructs (verbal working memory, orthographic and sentential…

This paper compares two alternative scoring methods--multiple regression and classification trees--for an automated speech scoring system used in a practice environment. The two methods were evaluated on two criteria: construct representation and empirical performance in predicting human scores. The empirical performance of the two scoring models…

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…