Neural Networks in Arabic Text processing
Journal Title: International Journal of engineering Research and Applications - Year 2018, Vol 8, Issue 12
Abstract
In this paper we aim to compare two developed methods to find text parts of long text which were not written by the same author or somebody manipulated with the text. Our work consists of two parts : in the first we developed a combined system of Replicator Neural Networks and ART2 to find outliers in some texts, in the second part we used Convolutional Neural Networks, the method was done by clustering of text parts and then classification of them. The analyzed texts were chosen from benchmark “King Saud University Corpus of Classical Arabic” of Arabic texts as long texts.
Authors and Affiliations
Asmaa Salem
Keywords
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