DocumentCode
3758125
Title
Evaluation of the ambiguity caused by the absence of diacritical marks in Arabic texts: Statistical study
Author
Mohamed Boudchiche;Azzeddine Mazroui
Author_Institution
Department of Mathematics and Computer Science, Faculty of Sciences, University Mohamed first, B-P 717, 60000, Oujda, Morocco
fYear
2015
Firstpage
1
Lastpage
6
Abstract
This work falls within the framework of the Natural Language Processing. Its objective is to assess the level of ambiguity caused by the absence of diacritical marks in Arabic texts during the information extraction process. We have carried out a statistical study based on four indicators: the root, the lemma, the stem and the POS tag of the word. For this, we used a large vowelized corpus containing more than 80 million words collected from several sources. The conducted study showed that the absence of diacritical marks in Arabic texts represents the main cause of the ambiguity observed in the information extraction process. Thus, based on this study we can conclude that the use of a vowelized corpus reduces considerably the ambiguity.
Keywords
"Natural language processing","Semantics","Context","Computer science","Syntactics","Search engines"
Publisher
ieee
Conference_Titel
Information & Communication Technology and Accessibility (ICTA), 2015 5th International Conference on
Type
conf
DOI
10.1109/ICTA.2015.7426904
Filename
7426904
Link To Document