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Research on the Automatic Scoring Method of English Essay based on the Improved K-Nearest Neighbor Algorithm

Hao Jiang, Yaru Jin
2016 Proceedings of the 2016 International Conference on Education, Management and Computing Technology (ICEMCT-16)   unpublished

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Compared with the traditional manual marking, automatic English essay scoring can improve the consistency, objectivity, and efficiency of the scoring process. In this essay, the relevant attributes of English composition is extracted, and the improved KNN algorithm is used to score the English essay. The experimental results show that the automatic scoring in which the improved KNN method combines with feature selection has smaller error, compared with manual scoring, and the accuracy of scoring has been improved significantly.
doi:10.2991/icemct-16.2016.275 fatcat:a23hmguvgbftxf6jt7tv5mlt4e
Citation

Hao Jiang, Yaru Jin. "Research on the Automatic Scoring Method of English Essay based on the Improved K-Nearest Neighbor Algorithm." Proceedings of the 2016 International Conference on Education, Management and Computing Technology (ICEMCT-16) (2016)