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    Predicting Human Scores of Essay Quality Using Computational Indices of Linguistic and Textual Features

    12 years 8 months ago
    Predicting Human Scores of Essay Quality Using Computational Indices of Linguistic and Textual Features
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    This study assesses the potential for computational indices to predict human ratings of essay quality. The results demonstrate that linguistic indices related to type counts, given/new information, personal pronouns, word frequency, conclusion n-grams, and verb forms predict 43% of the variance in human scores of essay quality.
    Scott A. Crossley, Rod Roscoe, Danielle S. McNamar
    claim paper
    Added 24 Aug 2011
    Updated 24 Aug 2011
    Type Journal
    Year 2011
    Where AIED
    Authors Scott A. Crossley, Rod Roscoe, Danielle S. McNamara
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