Automatic Arabic essay assessment / Wael Hassan Gomaa ; Supervised Aly Aly Fahmy

By:

Wael Hassan Gomaa

Contributor(s):

Aly Aly Fahmy []

Material type: Text

TextLanguage: English Publication details: Cairo : Wael Hassan Gomaa , 2014Description: 157 Leaves : charts ; 30cmOther title:

التقييم التلقائى للنصوص العربية [Added title page title]

Subject(s):

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Issued also as CD

Dissertation note: Thesis (Ph.D.) - Cairo University - Faculty of Computers and Information - Department of Computer Science Summary: The objective of this thesis was to discuss the nature and advantages of automatic scoring systems while proposing techniques that are capable of dealing with Arabic short answers. Results showed that the proposed techniques can be applied to a real educational environment. Briefly, these techniques calculated student marks automatically by measuring the lexical and semantic similarity between student and model answers. This thesis presents three case studies; the first deals with student answers of Data Structure course in English language while the other two deal with Environmental Science and Philosophy answers in Arabic language

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Holdings
Item type	Current library	Home library	Call number	Copy number	Status	Date due	Barcode
Thesis	قاعة الرسائل الجامعية - الدور الاول	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.20.03.Ph.D.2014.Wa.A (Browse shelf(Opens below))		Not for loan		01010110063842000
CD - Rom	مخـــزن الرســائل الجـــامعية - البدروم	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.20.03.Ph.D.2014.Wa.A (Browse shelf(Opens below))	63842.CD	Not for loan		01020110063842000

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Thesis (Ph.D.) - Cairo University - Faculty of Computers and Information - Department of Computer Science

The objective of this thesis was to discuss the nature and advantages of automatic scoring systems while proposing techniques that are capable of dealing with Arabic short answers. Results showed that the proposed techniques can be applied to a real educational environment. Briefly, these techniques calculated student marks automatically by measuring the lexical and semantic similarity between student and model answers. This thesis presents three case studies; the first deals with student answers of Data Structure course in English language while the other two deal with Environmental Science and Philosophy answers in Arabic language

Issued also as CD

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