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

DOI

10.2991/icemct-16.2016.275How to use a DOI?

Keywords

Automatic Essay Scoring; LSA; Information Gain; K-Nearest Neighbor

Abstract

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.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Hao Jiang
AU  - Yaru Jin
PY  - 2016/04
DA  - 2016/04
TI  - Research on the Automatic Scoring Method of English Essay based on the Improved K-Nearest Neighbor Algorithm
BT  - Proceedings of the 2016 International Conference on Education, Management and Computing Technology (ICEMCT-16)
PB  - Atlantis Press
SP  - 1297
EP  - 1302
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemct-16.2016.275
DO  - 10.2991/icemct-16.2016.275
ID  - Jiang2016/04
ER  -