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Plagiarism Detection in Arabic Language using Rhetorical Structure Theory

كشف الانتحال في اللغة العربية باستخدام نظرية بنية الكلام البلاغية

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 Publication date 2014
and research's language is العربية
 Created by Shamra Editor




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This paper presents a review of available algorithms and plagiarism detection systems، and an implementation of Plagiarism Detection System using available search engines on the web. Plagiarism detection in natural language documents is a complicated problem and it is related to the characteristics of the language itself. There are many available algorithms for plagiarism detection in natural languages .Generally these algorithms belong to two main categories ; the first one is plagiarism detection algorithms based on fingerprint and the second is plagiarism detection algorithms based on content comparison and includes string matching and tree matching algorithms . Usually available systems of plagiarism detection use specific type of detection algorithms or use a mixture of detection algorithms to achieve effective detection systems (fast and accurate). In this research, a plagiarism detection system has been developed using Bing search engine and a plagiarism detection algorithm based on Rhetorical Structure Theory.


Artificial intelligence review:
Research summary
تتناول هذه الورقة البحثية موضوع كشف الانتحال في النصوص المكتوبة باللغة العربية باستخدام نظرية بنية الكلام البلاغية (Rhetorical Structure Theory). تقدم الدراسة مراجعة شاملة للخوارزميات والنظم المتاحة لكشف الانتحال، مع التركيز على خوارزميات مقارنة بصمات الملفات وخوارزميات مقارنة محتوى الملفات. تم تطوير نظام يعتمد على محرك البحث Bing وخوارزمية تستند إلى خصائص اللغة باستخدام نظرية بنية الكلام البلاغية. تم اختبار النظام على عينة من الملفات العلمية المكتوبة باللغة العربية، وأظهرت النتائج فعالية النظام في كشف الانتحال بنسبة دقة تصل إلى 75%. تتضمن الورقة شرحًا مفصلًا لنظرية بنية الكلام البلاغية وتطبيقاتها في معالجة النصوص، بالإضافة إلى تصميم النظام والخوارزمية المستخدمة في الكشف عن الانتحال. كما تقدم الورقة مقارنة بين الخوارزميات المختلفة المستخدمة في كشف الانتحال وتوضح مزايا وعيوب كل منها.
Critical review
دراسة نقدية: على الرغم من أن هذه الورقة تقدم إسهامًا مهمًا في مجال كشف الانتحال في النصوص العربية باستخدام نظرية بنية الكلام البلاغية، إلا أن هناك بعض النقاط التي يمكن تحسينها. أولاً، كان من الأفضل توسيع نطاق الاختبارات لتشمل نصوصًا من مجالات مختلفة وليس فقط البحوث العلمية، وذلك لضمان شمولية وفعالية النظام في مختلف السياقات. ثانيًا، لم يتم مقارنة النظام المطور بشكل مباشر مع نظم كشف الانتحال الأخرى المتاحة على الشبكة العنكبوتية، مما يجعل من الصعب تقييم مدى تفوق النظام الجديد. ثالثًا، يمكن تحسين النظام بإدخال البعد الدلالي في خوارزمية المقارنة بين الموصلات، وذلك باستخدام قاموس مفاهيمي لتحسين دقة الكشف عن الانتحال. وأخيرًا، كان من المفيد تقديم تحليل أكثر تفصيلاً للنتائج وتوضيح الأسباب وراء عدم كشف بعض حالات الانتحال.
Questions related to the research
  1. ما هي الخوارزميات الرئيسية المستخدمة في كشف الانتحال وفقًا لهذه الورقة؟

    الخوارزميات الرئيسية هي خوارزميات بصمة الملف (Fingerprinting) وخوارزميات مقارنة محتوى الملفات (Content Comparisons).

  2. ما هي نسبة الدقة التي حققها النظام المطور في كشف الانتحال؟

    حقق النظام المطور نسبة دقة تصل إلى 75% في كشف الانتحال.

  3. ما هي النظرية المستخدمة في تطوير خوارزمية كشف الانتحال في هذه الورقة؟

    تم استخدام نظرية بنية الكلام البلاغية (Rhetorical Structure Theory) في تطوير خوارزمية كشف الانتحال.

  4. ما هي التحسينات المستقبلية المقترحة للنظام المطور في هذه الورقة؟

    من التحسينات المستقبلية المقترحة إدخال البعد الدلالي في خوارزمية المقارنة بين الموصلات باستخدام قاموس مفاهيمي لتحسين دقة الكشف عن الانتحال.


References used
Shizhong Wu; Yongle Hao; Xinyu Gao; Baojiang Cui; Ce Bian, Homology Detection Based on Abstract Syntax Tree Combined Simple Semantics Analysis, Web Intelligence and Intelligent Agent Technology (WI-IAT), vol.3, pp.410-414, 2010
Vinod K.R., Sandhya.S, Sathish Kumar D, Harani A, David Banji, Otilia JF Banji, Plagiarism-history detection and prevention, Journal for drugs and medicines, Vol.3, Issue:1, pp.1- 4, 2011
Al-Khatib B., Aspel A. ,Saleh M., fares M.، Hamad M.M., plagiarism detection using the web, Damascus university,informatics engineering college, 2007
Al-Sanie W., Towards an infrastructure for Arabic text Summarization using Rhetorical Structure Theory, master thesis , king Saud University, K.S.A., 2005
[Bing , API Basics. [online] Available at: http://www.bing.com/developers/s/APIBasics.ht ml [Accessed 15-October 2011
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