In the Arabic-English and English-Arabic translation activities, the interface is very significant. For translation in the Arabic language, many issues need to be addressed. The existing systems have some problems and research has been initiated to improve. Transliteration is an important component of the translation. We in this study propose a system of interface for Arabic transliteration. Th...

In this paper we have presented a brief current state of the Art for Arabic text representation and classification methods. First we describe some algorithms applied to classification on Arabic text. Secondly, we cite all major works when comparing classification algorithms applied on Arabic text, after this, we mention some authors who proposing new classification methods and finally we invest...

We propose in this paper a new standard Arabic test collection for monoand cross-language Information Retrieval (CLIR). To do this, we exploit the “Hadith” texts and we provide a portal for sampling and evaluation of Hadiths’ results listed in both Arabic and English versions. The new called “Kunuz” standard Arabic test collection will promote and restart the development of Arabic mono retrieva...

The Columbia Arabic Treebank (CATiB) is a database of syntactic analyses of Arabic sentences. CATiB contrasts with previous approaches to Arabic treebanking in its emphasis on speed with some constraints on linguistic richness. Two basic ideas inspire the CATiB approach: no annotation of redundant information and using representations and terminology inspired by traditional Arabic syntax. We de...

The NEMLAR project is a European Commission supported project with partners from the EU and from Arabic speaking countries in the Mediterranean region. The project aims at surveying the stat-of-the artof language resources and tools for Arabic in the region, at developing a BLARK definition for Arabic, and at starting development of language resources or updating of existing language resources....

The Arabic language has far richer systems of inflection and derivation than English which has very little morphology. This morphology difference causes a large gap between the vocabulary sizes in any given parallel training corpus. Segmentation of inflected Arabic words is a way to smooth its highly morphological nature. In this paper, we describe some statistically and linguistically motivate...

We consider the task of tagging Arabic nouns with WordNet supersenses. Three approaches are evaluated. The first uses an expertcrafted but limited-coverage lexicon, Arabic WordNet, and heuristics. The second uses unsupervised sequence modeling. The third and most successful approach uses machine translation to translate the Arabic into English, which is automatically tagged with English superse...

Arabic Dialects present many challenges for machine translation, not least of which is the lack of data resources. We use crowdsourcing to cheaply and quickly build LevantineEnglish and Egyptian-English parallel corpora, consisting of 1.1M words and 380k words, respectively. The dialectal sentences are selected from a large corpus of Arabic web text, and translated using Amazon’s Mechanical Tur...

This paper surveys some of the literature pertaining to searching and retrieving OCR’ed printed documents with emphasis on Arabic documents. It examines peculiarities of Arabic morphology, orthography, retrieval, word clustering, display, OCR, and error correction. The paper surveys existing evaluation test-beds for retrieval of Arabic OCR texts. Lastly, it concludes with possible directions fo...

Gum arabic is used throughout the world for various purposes including food additive and pharmaceutical excipient. The present study was undertaken to determine the effect of gum arabic on gastric ulcers in rats. The influence of gum arabic on the antiulcer activity of ranitidine, a known antiulcer drug was also evaluated. The antiulcer study was carried out in acetic acid induced chronic gastr...