Latent Semantic Analysis and Winnowing Algorithm Based Automatic Japanese Short Essay Answer Grading System Comparative Performance

Anak Agung Putri Ratna, Lea Santiar, Ihsan Ibrahim, Prima Dewi Purnamasari, Dyah Lalita Luhurkinanti, Adisa Larasati

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, advanced of research on e-learning application for short essay grading system had been conducted. This system was developed based on the needs of Japanese Language study program for short essay examination that required time and focus for finishing those tasks. Human abilities are limited by their energy, so that cognitive assessment objectivity could decrease in line with the elapsed time. Latent Semantic Analysis (LSA) and Winnowing Algorithm are two methods used in developing the automatic short essay answer grading system called SIMPLE-O by Department of Electrical Engineering, Universitas Indonesia. These two algorithms are chosen based on its ability to do semantic analytic without the needs of understanding about the characteristic of its languages. LSA used Singular Value Decomposition (SVD) as its main method, besides Winnowing algorithm is based on fingerprinting. These algorithms are applied into the automatic system to assess the Japanese language exam with close results between them with average accuracy of Winnowing algorithm is only 1.06% lower than LSA that could gain 87.78%. These two algorithms should be suitable for grading short essay answer in Japanese language.

Original languageEnglish
Title of host publication2019 IEEE 10th International Conference on Awareness Science and Technology, iCAST 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728138213
DOIs
Publication statusPublished - Oct 2019
Event10th IEEE International Conference on Awareness Science and Technology, iCAST 2019 - Morioka, Japan
Duration: 23 Oct 201925 Oct 2019

Publication series

Name2019 IEEE 10th International Conference on Awareness Science and Technology, iCAST 2019 - Proceedings

Conference

Conference10th IEEE International Conference on Awareness Science and Technology, iCAST 2019
CountryJapan
CityMorioka
Period23/10/1925/10/19

Keywords

  • e-learning
  • essay grading
  • Japanese
  • latent semantic analysis
  • winnowing

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    Putri Ratna, A. A., Santiar, L., Ibrahim, I., Purnamasari, P. D., Lalita Luhurkinanti, D., & Larasati, A. (2019). Latent Semantic Analysis and Winnowing Algorithm Based Automatic Japanese Short Essay Answer Grading System Comparative Performance. In 2019 IEEE 10th International Conference on Awareness Science and Technology, iCAST 2019 - Proceedings [8923226] (2019 IEEE 10th International Conference on Awareness Science and Technology, iCAST 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICAwST.2019.8923226