Automated Arabic essay scoring (AAES)‎ using vectors space model (VSM)‎ and latent semantics indexing (LSI)‎

Abstract EN

Automated Essays Scoring (AES) stands for the ability of computer technologies to evaluate electronic essays written by learner according to previously determined essay.

All the previous works and researches were applied to essays written in English language and they were applied to essays written in Bahasa, Hebrew, Malay, Chinese, Japanese, and Swedish.

The research paper suggests an Automated Arabic Essays Scoring (AAES) system on web-based learning context based on Vectors Space Model (VSM) and Latent Semantics Indexing (LSI).

The proposed system consists of two main processes.

The first process, deals with applying information retrieval mechanics to retrieve the significant information from electronic essays.

In the second process, VSM and LSI are applying to find out the similarity degree between the previously written essays by the instructor and the essay written by the learner.

The experiments of our results reveal that the proposed system provides an electronic assessment closer to instructors’ traditional judgment, leading to improve the learning’s efficiency, performance and to overcom