Feature Engineering for Automated Essay Evaluator of Malaysian University English Test (MUET) based on Linguistic Features
Automated Essay Scoring (AES) refers to the use of specialized computer programs to assess and score essays for overcoming time, cost, and reliability issues in an educational assessment context. It pertains to applications in the field of Natural Language Processing (NLP) and computational linguist...
Saved in:
Main Author: | Wee Sian, Wong |
---|---|
Format: | Thesis |
Language: | English English English |
Published: |
Universiti Malaysia Sarawak
2024
|
Subjects: | |
Online Access: | http://ir.unimas.my/id/eprint/44898/3/DSVA_Wong%20Wee%20Sian.pdf http://ir.unimas.my/id/eprint/44898/5/PhD%20Thesis_Wong%20Wee%20Sian%20-%2024%20pages.pdf http://ir.unimas.my/id/eprint/44898/8/Wong%20Wee%20Sian%20ft.pdf http://ir.unimas.my/id/eprint/44898/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Feature Engineering for Automated Essay Evaluator of Malaysian University English Test (MUET) based on Linguistic Features
by: Wee Sian, Wong
Published: (2024) -
Assessing Malaysian University English Test (MUET) Essay
on Language and Semantic Features Using Intelligent Essay
Grader (IEG)
by: Wong, Wee Sian, et al.
Published: (2021) -
A Study of Automated Essay Scoring Frameworks on Evaluating Malaysian University English Test Essays Based on Syntactic and Semantic Features
by: Chun Then, Lim
Published: (2023) -
Developing an Automated Essay Scorer with Feedback (AESF) for Malaysian University English Test (MUET) : A Design-based Research Approach
by: Bong, Chih How, et al.
Published: (2019) -
A Comprehensive Review of Automated Essay Scoring (AES) Research and Development
by: Chun Then, Lim, et al.
Published: (2021)