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Language Testing

July 2010 Volume 27, Number 3

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Table of Contents

Number of articles: 5

  1. The Promise of NLP and Speech Processing Technologies in Language Assessment

    Carol A. Chapelle & Yoo-Ree Chung

    Advances in natural language processing (NLP) and automatic speech recognition and processing technologies offer new opportunities for language testing. Despite their potential uses on a range of... More

    pp. 301-315

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  2. Complementing Human Judgment of Essays Written by English Language Learners with E-Rater[R] Scoring

    Mary K. Enright & Thomas Quinlan

    E-rater[R] is an automated essay scoring system that uses natural language processing techniques to extract features from essays and to model statistically human holistic ratings. Educational... More

    pp. 317-334

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  3. Validation of Automated Scores of TOEFL iBT Tasks against Non-Test Indicators of Writing Ability

    Sara Cushing Weigle

    Automated scoring has the potential to dramatically reduce the time and costs associated with the assessment of complex skills such as writing, but its use must be validated against a variety of... More

    pp. 335-353

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  4. EduSpeak[R]: A Speech Recognition and Pronunciation Scoring Toolkit for Computer-Aided Language Learning Applications

    Horacio Franco, Harry Bratt, Romain Rossier, Venkata Rao Gadde, Elizabeth Shriberg, Victor Abrash & Kristin Precoda

    SRI International's EduSpeak[R] system is a software development toolkit that enables developers of interactive language education software to use state-of-the-art speech recognition and... More

    pp. 401-418

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

    Martin Chodorow, Michael Gamon & Joel Tetreault

    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 ... More

    pp. 419-436

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