Automated PSLE English situational writing practice system

Even with today’s technologies, essay grading is still done manually by teachers. This process is both time-consuming and inefficient. It is also difficult to achieve a non-subjective grading of all students’ essays. Automated essay grading systems have been built over the years in an attempt to sol...

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Main Author: Lim, Miranda Li Qun
Other Authors: Hui Siu Cheung
Format: Final Year Project
Language:English
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/10356/70235
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-702352023-03-03T20:34:35Z Automated PSLE English situational writing practice system Lim, Miranda Li Qun Hui Siu Cheung School of Computer Science and Engineering DRNTU::Engineering::Computer science and engineering Even with today’s technologies, essay grading is still done manually by teachers. This process is both time-consuming and inefficient. It is also difficult to achieve a non-subjective grading of all students’ essays. Automated essay grading systems have been built over the years in an attempt to solve these problems. However, despite continuous improvements made to these systems, many were still unable to achieve full automation. One such system is the Automated Primary School Leaving Exam (PSLE) Situational Writing Practice System. Students are able to practice mock essay questions and gain content and language feedback from the system. Due to the low accuracy in detecting grammar and semantic errors, full automation has yet to be achieved for this system. This project aims to improve the system by conducting an evaluation of the grammar and semantic analysis of the system. Much of the research has been devoted to analyzing the errors made in the grammar rules and proposing solutions to solve these errors. Bachelor of Engineering (Computer Science) 2017-04-17T08:56:02Z 2017-04-17T08:56:02Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/70235 en Nanyang Technological University 31 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering
spellingShingle DRNTU::Engineering::Computer science and engineering
Lim, Miranda Li Qun
Automated PSLE English situational writing practice system
description Even with today’s technologies, essay grading is still done manually by teachers. This process is both time-consuming and inefficient. It is also difficult to achieve a non-subjective grading of all students’ essays. Automated essay grading systems have been built over the years in an attempt to solve these problems. However, despite continuous improvements made to these systems, many were still unable to achieve full automation. One such system is the Automated Primary School Leaving Exam (PSLE) Situational Writing Practice System. Students are able to practice mock essay questions and gain content and language feedback from the system. Due to the low accuracy in detecting grammar and semantic errors, full automation has yet to be achieved for this system. This project aims to improve the system by conducting an evaluation of the grammar and semantic analysis of the system. Much of the research has been devoted to analyzing the errors made in the grammar rules and proposing solutions to solve these errors.
author2 Hui Siu Cheung
author_facet Hui Siu Cheung
Lim, Miranda Li Qun
format Final Year Project
author Lim, Miranda Li Qun
author_sort Lim, Miranda Li Qun
title Automated PSLE English situational writing practice system
title_short Automated PSLE English situational writing practice system
title_full Automated PSLE English situational writing practice system
title_fullStr Automated PSLE English situational writing practice system
title_full_unstemmed Automated PSLE English situational writing practice system
title_sort automated psle english situational writing practice system
publishDate 2017
url http://hdl.handle.net/10356/70235
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