The present writer lived in Tunisia for 17 years. He has met many people who struggle with learning Arabic, especially with its pronunciation. This is a short guide for helping foreigners with the pronunciation of Arabic sounds, especially as it relates to Koreans. This paper consists of 3 parts: consonants, vowels and the intonation of Arabic. In each part, problems for foreigners in producing...

The development of an efficient compression scheme to process the Arabic language represents a difficult task. This paper employs the dynamic Huffman coding on data compression with variable length bit coding, on the Arabic language. Experimental tests have been performed on both Arabic and English text. A comparison is made to measure the efficiency of compressing data results on both Arabic a...

We present a working Arabic information extraction (IE) system that is used to analyze large volumes of news texts every day to extract the named entity (NE) types person, organization, location, date and number, as well as quotations (direct reported speech) by and about people. The Named Entity Recognition (NER) system was not developed for Arabic, but instead a highly multilingual, almost la...

Concern about Internet addiction, fuelled by the rapid increase in its usage across the globe, has spread to many parts of the world, including the Arab world. Concurrently, there has been a relentless quest for a valid tool for measuring Internet addiction. Thus far, two popular tools have been translated to Arabic: the Compulsive Internet Use Scale and the Internet addiction test (IAT). While...

The Arabic language is a collection of dialectal variants along with the standard form, Modern Standard Arabic (MSA). MSA is used in official Settings while the dialectal variants (DA) correspond to the native tongue of the Arabic speakers. Arabic speakers typically code switch between DA and MSA, which is reflected extensively in written online social media. Automatic processing such Arabic ge...

This chapter presents an adaptation of existing techniques in Arabic morphology by leveraging corpus statistics to make them suitable for Information Retrieval (IR). The adaptation resulted in the development of Sebawai, an shallow Arabic morphological analyzer, and Al-Stem, an Arabic light stemmer. Both were used to produce Arabic index terms for Arabic experimentation. Sebawai is concerned wi...

The computational handling of Modern Standard Arabic is a challenge in the field of natural language processing due to its highly rich morphology. However, several authors have pointed out that the Arabic morphological system is in fact extremely regular. The existing Arabic morphological analyzers have exploited this regularity to variable extent, yet we believe there is still some scope for i...

In this paper, we aim to move ontology-based Arabic NLP forward by experimenting with the generation of a comprehensive Arabic lexical ontology using multiple language resources. We recommend a combination of MUHIT, WordNet and SUMO and use a simple method to link them, which results in the generation of an Arabic-lexicalized version of the SUMO ontology. Then, we evaluate the generated ontolog...

In this paper, we describe a web-based multilingual tool for Arabic information retrieval based on ontology in the legal domain. We illustrate the manual construction of the ontology and the way it is edited using Protégé2000. Using Arabic (UN) documents we identify the legal terms and the semantic relations between them before mapping them onto their position in the ontology. The process of se...

New input and output concepts under Unicode: Literary, Classical and Qurʾānic Arabic in Unicode involve more characters than the Arabic keyboard can accommodate. To enter sophisticated Arabic, Basis Technology and DecoType jointly developed an IME (input method editor): ALI (Arabic, Latin Input). When used at full power, ALI overstretches conventional font technology. Only DecoType’s Arabic Cal...