Enhancing quality Arabic web content through multilingual information retrieval methods
Dissertant
Thesis advisor
University
Birzeit University
Faculty
Faculty of Engineering and Technology
Department
Department of Computer Science
University Country
Palestine (West Bank)
Degree
Master
Degree Date
2019
English Abstract
Access to quality web content is an integral part of modern life.
While Arabic content is increasing rapidly, it is still far from adequate in terms of quantity, quality and timeliness and is well below what is available in many other languages.
To meet user needs, it helps to give Arabic users access to foreign web content.
The focus of the thesis is to grant Arabic users access to quality web content in other languages to meet their information needs.
This includes access to: textual data, structured databases and annotated multimedia elements.
For that we rely on Cross Lingual Information Retrieval (CLIR) concepts such as cross lingual document similarity, relevance measures, named entity recognition/transliteration, document quality assessment tools and knowledge extraction results [1,2].
Among the approaches we build on are Semantic Association (Explicit and Latent) [1,3,4], Knowledge Extraction [5,6,7] and Machine Translation and Transliteration [8].The methods developed will be utilized to increase the Arabic web content, to suggest material for further processing using crowd sourcing and, as a byproduct, for cross lingual plagiarism detection.
Main Subjects
Information Technology and Computer Science
No. of Pages
153
Table of Contents
Table of contents.
Abstract.
Chapter One : Introduction.
Chapter Two : Literature review.
Chapter Three : Proposed approach.
Chapter Four : Results.
Chapter Five : Conclusion and future work.
References.
American Psychological Association (APA)
Safa, Abd al-Fattah. (2019). Enhancing quality Arabic web content through multilingual information retrieval methods. (Master's theses Theses and Dissertations Master). Birzeit University, Palestine (West Bank)
https://search.emarefa.net/detail/BIM-1413053
Modern Language Association (MLA)
Safa, Abd al-Fattah. Enhancing quality Arabic web content through multilingual information retrieval methods. (Master's theses Theses and Dissertations Master). Birzeit University. (2019).
https://search.emarefa.net/detail/BIM-1413053
American Medical Association (AMA)
Safa, Abd al-Fattah. (2019). Enhancing quality Arabic web content through multilingual information retrieval methods. (Master's theses Theses and Dissertations Master). Birzeit University, Palestine (West Bank)
https://search.emarefa.net/detail/BIM-1413053
Language
English
Data Type
Arab Theses
Record ID
BIM-1413053