Arabic numerals show a high occurrence-frequency and deliver significant senses, especially in scientific or informative texts. The problem, how to convert Arabic numerals to phonemes with ambiguous classifiers in Korean, is not easily resolved. In this paper, the ambiguities of Arabic numerals combined with homographic classifiers are analyzed and the resolutions for their sense disambiguation...

A massive amount of documents are being posted online every minute. The task of document classification requires extensive background work on the content of documents, where keyword-based matching alone may not be sufficient. Much research has been carried out in several languages that has revealed significant results. However, Arabic documents still pose a great challenge due to the nature of ...

As more and more Arabic textual information becomes available through the Web in homes and businesses, via Internet and Intranet services, there is an urgent need for technologies and tools to process the relevant information. Named Entity Recognition (NER) is an Information Extraction task that has become an integral part of many other Natural Language Processing (NLP) tasks, such as Machine T...

This paper concerns our participation in the research project: ‘Corpus bilingue Italiano Bilingual Italian – Arabic corpus) funded by law 488/92. The purpose of this project is to develop some linguistic tools and resources for bilingual Italian/Arabic corpora; its background and starting point are tools that have already been developed by the Computational Linguistics Institute. As far as IT t...

From the importance of knowledge in the speech, we knew the importance of oral exam. So in this paper we integrated BOW (Bag of Word), LSA(Latin Semantic Analysis), ASR (automatic speech recognition), zero crossing rate, and Ontology based approach to automate the online oral exam especially in Arabic language with take into consideration the authentication problem. Our proposal method faced ma...

Syntactic analysis is a fundamental phase in NLP (Natural Language Processing) domain. This phase occurs in several applications and at different levels. Moreover, it wasn’t spilled in domain research, especially for Arabic language. In fact, most of researchers working on Arabic language treated simple structures and neglected complicated ones such as relatives, coordination, ellipse and juxta...

We present a comprehensive Arabic tagging system: from the raw text to tagging disambiguation. For each processing step in the tagging system, we analyze the existing solutions (if any) and use one of them or propose, implement and evaluate a new one. This work began with designing a new Arabic tagset suitable for Classical Arabic (CA) and Modern Standard Arabic (MSA). In addition to the classi...

More and more, interest in the way data is displayed on screen has increased, especially with the increase in the number of people using e-text for learning purposes. So, this requires more focus on factors that affect screen legibility. Text display factors, such as font size, line length and font type, have an impact on reading online. Two font types [Arabic Traditional and Simplified Arabic]...

Text embedded in video sequences is very important to semantic indexing and content-based retrieval system, especially for large scale news collection. However, its detection and extraction is still an open problem due to the variety of its size and the complexity of the backgrounds. In this paper, we propose an approach for automatic Arabic-text localization based on a novel method for text-li...

The Use of genetic algorithms in the Information retrieval (IR) area, especially in optimizing a user query in Arabic data collections is presented in this paper. Very little research has been carried out on Arabic text collections. Boolean model have been used in this research. To optimize the query using GA we used different fitness functions, different mutation strategies to find which is th...