In this paper, we investigate a range of strategies for combining multiple machine learning
techniques for recognizing Arabic characters, where we are faced with imperfect and …

This thesis explores a range of approaches to the task of recognising textual entailment
(RTE), ie determining whether one text snippet entails another, for Arabic, where we are …

The specificities of the Arabic language, mainly agglutination and vocalization make the task
of POS-tagging more difficult than for Indo-European languages. Consequently, POS …

A relatively large dataset coupled with efficient but computationally slow machine learning
algorithm poses a great deal of challenge for Internet of Things (IoT). On the contrary, Deep …

There is a number of machine learning algorithms for recognizing Arabic characters. In this
paper, we investigate a range of strategies for multiple machine learning algorithms for the …

(SAP) toolset that helps researchers for textual analysis and comparing between different
Arabic corpora. Since tools for Arabic language are needed, we present the SAP toolset to …

In Modern Standard Arabic text (MSA), there are at least seven available morphological
analysers (MA). Several Part-of-Speech (POS) taggers use these MAs to improve accuracy …

摘要如今, 光学字符识别是最成功的自动模式识别应用程序之一. 关于识别拉丁文和中文字符
已经完成了许多工作. 然而, 很少进行识别阿拉伯字符的研究的原因是与其他字符相比 …