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The Utility of Article and Preposition Error Correction Systems for English Language Learners: Feedback and Assessment
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Chodorow, 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