Zagazig University Digital Repository
Home
Thesis & Publications
All Contents
Publications
Thesis
Graduation Projects
Research Area
Research Area Reports
Search by Research Area
Universities Thesis
ACADEMIC Links
ACADEMIC RESEARCH
Zagazig University Authors
Africa Research Statistics
Google Scholar
Research Gate
Researcher ID
CrossRef
Building Algorithms and Databases for Arabic Linguistic Analysis
Faculty
Engineering
Year:
2009
Type of Publication:
Theses
Pages:
195
Authors:
Hitham Mohamed Abo Bakr Abd Rabo
BibID
10794248
Keywords :
Computer programs
Abstract:
The approach requires an Arabic lexicon and large corpus of fully diacritized text for training purpose in order to detect diacritics. One of the main contributions in this dissertation is that we distinguish between internal and case-ending diacritization since the former requires morphological analysis while the later depends on the syntactic analysis. We have successfully solved the Arabic internal diacritization problem using three different techniques, each of which has its own strengths and weaknesses. We combined them to optimize the performance of our diacritizer and to a large extent remove ambiguities. Case-ending diacritization is treated as a post process of the internal diacritization process. We have built a novel statistical approach based on Support Vector Machine (SVM) learning algorithm for detecting case-ending diacritic signs by including combination of morphological and syntactic features. The final result is a fully diacritized Arabic statement.
PDF
جامعة المنصورة
جامعة الاسكندرية
جامعة القاهرة
جامعة سوهاج
جامعة الفيوم
جامعة بنها
جامعة دمياط
جامعة بورسعيد
جامعة حلوان
جامعة السويس
شراقوة
جامعة المنيا
جامعة دمنهور
جامعة المنوفية
جامعة أسوان
جامعة جنوب الوادى
جامعة قناة السويس
جامعة عين شمس
جامعة أسيوط
جامعة كفر الشيخ
جامعة السادات
جامعة طنطا
جامعة بنى سويف