In the past several years, Arabic Information Retrieval (IR) has garnered significant attention. The main research interests have focused on retrieval of formal language, mostly in the news domain, with ad hoc retrieval, OCR document retrieval, and cross-language retrieval. The literature on other aspects of retrieval continues to be sparse or non-existent, though some of these aspects have bee...

Using Machine Translation (MT) for vocabulary acquisition is an inevitable phenomenon among Arabic-speaking L2 learners. But has MT fully succeeded in replacing traditional dictionaries and providing ideal tool learners? This study aimed to research the value implications of using machine translation acquisition. The significant as it investigates a neglected area teaching second language focus...

Most tools and resources developed for natural language processing of Arabic are designed for Modern Standard Arabic (MSA) and perform terribly on Arabic dialects, such as Egyptian Arabic. Egyptian Arabic differs from MSA phonologically, morphologically and lexically and has no standardized orthography. We present a linguistically accurate, large-scale morphological analyzer for Egyptian Arabic...

This book provides system developers and researchers in natural language processing and computational linguistics with the necessary background information for working with the Arabic language. The goal is to introduce Arabic linguistic phenomena and review the state-of-the-art in Arabic processing. The book discusses Arabic script, phonology, orthography, morphology, syntax and semantics, with...

The standard account of word-formation processes in Semitic languages describes words as combinations of two morphemes: a root and a pattern. The root consists of consonants only, by default three (although longer roots are known), called radicals. The pattern is a combination of vowels and, possibly, consonants too, with ‘slots’ into which the root consonants can be inserted. Words are created...

This research aims to describe the themes and methods most in-demand explain representation of mapping in Arabic Education undergraduate program Universitas Islam Negeri Maulana Malik Ibrahim Malang through linguistic corpus analysis. study is essential provide a real portrait reality trends among students. A quantitative approach used frequency words based on Antconc application's corpus. Mean...

Most tools and resources developed for natural language processing of Arabic are designed for Modern Standard Arabic (MSA) and perform terribly on Arabic dialects, such as Egyptian Arabic. Egyptian Arabic differs from MSA phonologically, morphologically and lexically and has no standardized orthography. We present a linguistically accurate, large-scale morphological analyzer for Egyptian Arabic...

This work presents a system for Automatic Arabic punctuation marks. Existing approaches for automatic punctuation marks do not provide suitable performance for and do not satisfy user interests in Arabic texts. The importance and rising need to automate the correct insertion of punctuation marks in Arabic texts led to a need of specific analysis of the Arabic language to introduce approaches th...