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: |
2024
|
Subjects: | |
Online Access: | http://ir.unimas.my/id/eprint/44898/3/DSVA_Wong%20Wee%20Sian.pdf http://ir.unimas.my/id/eprint/44898/4/PhD%20Thesis_Wong%20Wee%20Sia.ftext.pdf http://ir.unimas.my/id/eprint/44898/5/PhD%20Thesis_Wong%20Wee%20Sian%20-%2024%20pages.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
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) -
A hybrid approach for reverse engineering gui model from mobile apps for automated testing
by: Anka, Salihu Ibrahim
Published: (2017) -
Sentiment analysis by fusing text and location features of geo-tagged tweets
by: Lim, Wei Lun
Published: (2021) -
Classification of stress based on speech features
by: Jasim, Arshed Ahmed
Published: (2014) -
Trademark matching algorithm based on simplified feature extraction
by: Zafar, Muhammad Faisal
Published: (2002)