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Comparative analysis of Arabic text compression techniques
Other Title(s)
تحليل مقارن بين تقنيات الضغط للنص العربي
Dissertant
Thesis advisor
University
Amman Arab University
Faculty
Collage of Computer Sciences and Informatics
Department
Department of Computer Science
University Country
Jordan
Degree
Master
Degree Date
2016
English Abstract
Natural Language Text Compression techniques have been discussed thoroughly in the literature in the past decades.
Several methods have been implemented and introduced, however, most focused on English and European languages.
Rather few studies have focused on Arabic Text Compression, some used statistical approaches, others dictionary based approaches, while some used features of the Arabic language and derivation rules to create a certain methodology to increase compression ratio.
In this thesis, we discussed the different characteristics of the Arabic language and introduced several statistical methods for text compression and adapt them for Arabic text stored in Unicode files.
We provided implementation for each method and presented a comparison between them in terms of performance, compression ratio, resources requirements to run the algorithms and areas of usage and employment.
The algorithms under investigation are Golomb Code, Elias Gamma Code, Huffman code and LZW methods.
We also suggested an Arabic Character Mapping technique to be used in the previous four algorithms, which showed a major improvement to the compression ratio and compare the different algorithms amongst each other with the enhanced algorithms that utilize the mapping.
Main Subjects
Information Technology and Computer Science
No. of Pages
110
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : References.
Chapter Two : Literature reviews .
Chapter Three : Arabic language characteristics and feature.
Chapter Four : Research methodology.
Chapter Five : Implementation.
Chapter Six : Evaluation and results.
Chapter Seven : Conclusion and future work.
References.
American Psychological Association (APA)
al-Ajami, Talal M.. (2016). Comparative analysis of Arabic text compression techniques. (Master's theses Theses and Dissertations Master). Amman Arab University, Jordan
https://search.emarefa.net/detail/BIM-932926
Modern Language Association (MLA)
al-Ajami, Talal M.. Comparative analysis of Arabic text compression techniques. (Master's theses Theses and Dissertations Master). Amman Arab University. (2016).
https://search.emarefa.net/detail/BIM-932926
American Medical Association (AMA)
al-Ajami, Talal M.. (2016). Comparative analysis of Arabic text compression techniques. (Master's theses Theses and Dissertations Master). Amman Arab University, Jordan
https://search.emarefa.net/detail/BIM-932926
Language
English
Data Type
Arab Theses
Record ID
BIM-932926