The EU project NEMLAR (Network for Euro-Mediterranean LAnguage Resources) on Arabic language resources carried out two surveys on the availability of Arabic LRs in the region, and on industrial requirements. The project also worked out a BLARK (Basic Language Resource Kit) for Arabic. In this paper we describe the further development of the BLARK concept made during the work on a BLARK for Arab...

THE RELATIONSHIP BETWEEN LANGUAGE AND READING IN BILINGUAL ENGLISH-ARABIC CHILDREN by Lama K. Farran This dissertation examined the relationship between language and reading in bilingual English-Arabic children. The dissertation followed a two chapter Review and Research Format. Chapter One presents a review of research that examined the relationship between oral language and reading developmen...

Collocation Extraction plays an important role in machine translation, information retrieval, secondary language learning, etc., and has obtained significant achievements in other languages, e.g. English and Chinese. There are some studies for Arabic collocation extraction using POS annotation to extract Arabic collocation. We used a hybrid method that included POS patterns and syntactic depend...

Optical Character Recognition (OCR) is an important technology. The Arabic language lacks both the variety of OCR systems and the depth of research relative to Roman scripts. A machine learning, HaarCascade classifier (HCC) approach was introduced by Viola and Jones (Viola and Jones 2001) to achieve rapid object detection based on a boosted cascade Haar-like features. Here, that approach is mod...

In general, word stemming is one of the most important factors that affect the performance of information retrieval systems. The optimization issues of Arabic light stemming algorithm as a main component in natural language processing and information retrieval for Arabic language are based on root-pattern schemes. Since Arabic language is a highly inflected language and has a complex morphologi...

We investigate the problem of learning a part-of-speech (POS) lexicon for resource-poor languages. Developing a high-quality lexicon is often the first step towards building a POS tagger, which is in turn the front-end to many NLP systems. We frame the lexicon acquisition problem as a transductive learning problem, and perform comparisons on three transductive algorithms: Transductive SVMs, Spe...