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Enhancing arabic text similarity applications using vectorized techniques / Ahmed Ezzat Abdelgawad Magooda ; Supervised Magda B. Fayek , Mohsen Rashwan

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Ahmed Ezzat Abdelgawad Magooda , 2016Description: 82 P. : charts ; 30cmOther title:
  • تحسين تطبيقات مطابقة النصوص باللغة العربية بإستخدام تقنيات التمثيل المتجهى [Added title page title]
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  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Computer Engineering Summary: Text similarity is a basic block in many NLP applications. While there exists a wide spectrum of applications that utilizes the text similarity techniques, what gathered our attention is the utilization of text similarity in the academic domain. Text similarity has been the backbone in many applications, i.e. (Automatic scoring, plagiarism detection, machine translation, search engine results ranking etc.). In this thesis two applications are tackled (short answer grading and Arabic plagiarism detection). Alongside providing an intensive analysis for both tasks, two systems are proposed. The proposed systems achieved very high accuracy compared to state of the art systems for both tasks
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Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.06.M.Sc.2016.Ah.E (Browse shelf(Opens below)) Not for loan 01010110072057000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.06.M.Sc.2016.Ah.E (Browse shelf(Opens below)) 72057.CD Not for loan 01020110072057000

Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Computer Engineering

Text similarity is a basic block in many NLP applications. While there exists a wide spectrum of applications that utilizes the text similarity techniques, what gathered our attention is the utilization of text similarity in the academic domain. Text similarity has been the backbone in many applications, i.e. (Automatic scoring, plagiarism detection, machine translation, search engine results ranking etc.). In this thesis two applications are tackled (short answer grading and Arabic plagiarism detection). Alongside providing an intensive analysis for both tasks, two systems are proposed. The proposed systems achieved very high accuracy compared to state of the art systems for both tasks

Issued also as CD

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