N-Gram Based Approach for Automatic Prediction of Essay Rubric Marks

摘要

Automatic Essay Scoring, applied to the prediction of grades for dimensions of a scoring rubric, can provide automatic detailed feedback on students' written assignments. We apply a character and word n-gram based technique proposed originally for authorship identification Common N-Gram (CNG) classifier - to this task. We report promising results for the rubric mark prediction for essays by CNG, and perform analysis of suitability of different types of n-grams for the task.