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Direct linkChodorow, Martin; Gamon, Michael; Tetreault, Joel – Language Testing, 2010
In this paper, we describe and evaluate two state-of-the-art systems for identifying and correcting writing errors involving English articles and prepositions. Criterion[superscript SM], developed by Educational Testing Service, and "ESL Assistant", developed by Microsoft Research, both use machine learning techniques to build models of article…
Descriptors: Grammar, Feedback (Response), Form Classes (Languages), Second Language Learning
Stricker, L. J. – Language Testing, 2004
The purpose of this study was to replicate previous research on the construct validity of the paper-based version of the TOEFL and extend it to the computer-based TOEFL. Two samples of Graduate Record Examination (GRE) General Test-takers were used: native speakers of English specially recruited to take the computer-based TOEFL, and ESL…
Descriptors: Native Speakers, Construct Validity, English (Second Language), Computer Assisted Instruction
