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Arabic document retrieval based on word rooting
Dissertant
Thesis advisor
University
Al albayt University
Faculty
Prince Hussein Bin Abdullah Faculty for Information Technology
Department
Department of Computer Science
University Country
Jordan
Degree
Master
Degree Date
2013
English Abstract
In this research, an Arabic morphological system designed and implemented to extract Arabic roots.
Patterns play a big role in a process of extracting the root of the word, each word has its own pattern as in "يتفكرون ،يتفعلون " each letter in the word that replaces the letters ف،ع،ل in the pattern is considered as original letter and added to the root.
Efficient results are gotten that provide a good step in the process of minimizing the size of index structure.
The system was designed to accept input from a file or it can analyze one word at a time.
Words that the algorithm fails to analyze are normally foreign words, irregular words or words that do not have trilateral roots.
The new algorithms used in the proposed morphological analyzer are minimal in searching time.
The proposed system is directed to the modern Arabic.
It can resolve the inflected Arabic word, identify its root and finds its pattern.
Small components can be added to this system so that it will be capable of finding the verb tense and many other word attributes. This can be done using the information deduced by the proposed system and some extra linguistic rules.
Main Subjects
Information Technology and Computer Science
Topics
No. of Pages
66
Table of Contents
Table of contents.
Abstract.
Chapter One : Introduction.
Chapter Two : Theoritical background.
Chapter Three : Proposed approach.
Chapter Four : GUI of the developed program.
Chapter Five : Discussions, conclusion and future work.
References.
American Psychological Association (APA)
al-Sarhan, Hind Hammud. (2013). Arabic document retrieval based on word rooting. (Master's theses Theses and Dissertations Master). Al albayt University, Jordan
https://search.emarefa.net/detail/BIM-414592
Modern Language Association (MLA)
al-Sarhan, Hind Hammud. Arabic document retrieval based on word rooting. (Master's theses Theses and Dissertations Master). Al albayt University. (2013).
https://search.emarefa.net/detail/BIM-414592
American Medical Association (AMA)
al-Sarhan, Hind Hammud. (2013). Arabic document retrieval based on word rooting. (Master's theses Theses and Dissertations Master). Al albayt University, Jordan
https://search.emarefa.net/detail/BIM-414592
Language
English
Data Type
Arab Theses
Record ID
BIM-414592