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Design of English Intelligent Simulated Paper Marking System
- Source :
- Complexity, Vol 2021 (2021)
- Publication Year :
- 2021
- Publisher :
- Hindawi Limited, 2021.
-
Abstract
- In this paper, we analyze the intelligent subdesign of the simulated marking system through an in-depth study of it. This paper proposes a correlation analysis-based quantification of N-element sense values and a rationality enhancement-based scoring fitting algorithm for English essays. This paper also extracts word features, sentence features, and chapter structure features in essays to fit English composition scores. Since not all students can complete the essays according to the topic requirements, a triage scoring model is used to separate the normal essays from the low-scoring essays. Statistically, it was found that the essay scores also showed a certain normal distribution. The standard support vector regression algorithm is prone to data skewing problems, so this paper addresses this problem by using a rationality enhancement method that gives a corresponding penalty factor according to the distribution of the dataset. The results show that the English essay scoring fitting algorithm proposed in this paper can well improve the prediction accuracy of some data and solve the problem of skewed data where the scores show a normal distribution. This paper designs and implements an online mock examination system that incorporates an intelligent scoring system for essays, enabling it to meet the needs of teachers and students for online examinations and intelligent scoring.
- Subjects :
- Structure (mathematical logic)
0209 industrial biotechnology
Multidisciplinary
Article Subject
General Computer Science
business.industry
Computer science
Rationality
QA75.5-76.95
02 engineering and technology
Machine learning
computer.software_genre
Triage
Support vector machine
Normal distribution
020901 industrial engineering & automation
Electronic computers. Computer science
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Artificial intelligence
business
computer
Composition (language)
Word (computer architecture)
Sentence
Subjects
Details
- ISSN :
- 10990526 and 10762787
- Volume :
- 2021
- Database :
- OpenAIRE
- Journal :
- Complexity
- Accession number :
- edsair.doi.dedup.....0500e9ea67968240188458745def3aa1