Toward an Arabic essay grading benchmark for machine learning

العناوين الأخرى

بناء معيار لتصحيح الأسئلة المقالية في اللغة العربية لتعلم الآلة

مقدم أطروحة جامعية

al-Ziyadat, Rawan Abd al-Halim

مشرف أطروحة جامعية

al-Sharbatji, Bassam

الجامعة

جامعة الشرق الأوسط

الكلية

كلية تكنولوجيا المعلومات

القسم الأكاديمي

قسم علم الحاسوب

دولة الجامعة

الأردن

الدرجة العلمية

ماجستير

تاريخ الدرجة العلمية

2020

الملخص الإنجليزي

Using Automatic Essay Grading (AEG) is seen as a vital tool, as it provides a lot of advantages like getting the marks without human bias, quick and safe effort.

Nowadays, the majority of grading systems have become dependent on artificial intelligence such as machine learning.

As a result, most of AEG systems utilized machine learning to grade essays based on prepared dataset for training and validation.

For the English essays there is an Automated Student Assessment Prize (ASAP) dataset for grading essays using machine learning but there are no Arabic essays grading datasets for machine learning.

Therefore, this thesis is an attempt to collect and establish a dataset for Arabic essay grading for machine learning.

In this thesis, the established dataset or benchmark contains essay questions with their graded model answers for a various topic across most all different school levels.

The collected dataset was tested and evaluated using the best-known classification algorithms such as Naive Bayes, decision tree, and meta classifier.

The experimental result shows that dataset is suitable for the machine learning algorithms, where the classifiers performance results shows a 79%, 81%, 86% as accuracy based on established dataset.

الموضوع الرئيسي

تكنولوجيا المعلومات وعلم الحاسوب
اللغة العربية

الموضوعات

عدد الصفحات

58

قائمة المحتويات

Table of contents.

Abstract.

Abstract in Arabic.

Chapter One : Introduction.

Chapter Two : Background and literature review.

Chapter Three : Methodology and the proposed model.

Chapter Four : Implementation and evaluation results.

Chapter Five : Conclusion and future work.

References.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

al-Ziyadat, Rawan Abd al-Halim. (2020). Toward an Arabic essay grading benchmark for machine learning. (Master's theses Theses and Dissertations Master). Middle East University, Jordan
https://search.emarefa.net/detail/BIM-970877

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

al-Ziyadat, Rawan Abd al-Halim. Toward an Arabic essay grading benchmark for machine learning. (Master's theses Theses and Dissertations Master). Middle East University. (2020).
https://search.emarefa.net/detail/BIM-970877

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

al-Ziyadat, Rawan Abd al-Halim. (2020). Toward an Arabic essay grading benchmark for machine learning. (Master's theses Theses and Dissertations Master). Middle East University, Jordan
https://search.emarefa.net/detail/BIM-970877

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-970877