Corpora are an important resource for both teaching and research. Arabic lacks sufficient resources in this field, so a research project has been designed to compile a corpus, which represents the state of the Arabic language at the present time and the needs of end-users. This report presents the result of a survey of the needs of teachers of Arabic as a foreign language (TAFL) and language en...

Modern Standard Arabic (MSA) is the formal language in most Arabic countries. Arabic Dialects (AD) or daily language differs from MSA especially in social media communication. However, most Arabic social media texts have mixed forms and many variations especially between MSA and AD. This paper aims to bridge the gap between MSA and AD by providing a framework for AD classification using probabi...

Parsing the Arabic language is a difficult task given the specificities of this language and given the scarcity of digital resources (grammars and annotated corpora). In this paper, we suggest a method for Arabic parsing based on supervised machine learning. We used the SVMs algorithm to select the syntactic labels of the sentence. Furthermore, we evaluated our parser following the cross valida...

Arabic is a language of rich and complex morphology. The nature and peculiarity of Arabic make its morphological and phonological rules confusing for second language learners (SLLs). The conjugation of Arabic verbs is central to the formulation of an Arabic sentence because of its richness of form and meaning. In this paper, we address issues related to the morphological analysis of ill formed ...

Most Arabic natural language processing tools and resources are developed to serve Modern Standard Arabic (MSA), which is the official written language in the Arab World. Some Dialectal Arabic varieties, notably Egyptian Arabic, have received some attention lately and have a growing collection of resources that include annotated corpora and morphological analyzers and taggers. Gulf Arabic, howe...

Text readability refers to the ability of the reader to understand and comprehend a given text. In this research, we present our approach to develop an automatic readability index for the Arabic language: Automatic Arabic Readability Index (AARI), using factor analysis. Our results are based on more than 1196 Arabic texts extracted from the Jordanian curriculum in the subjects of: Arabic langua...

In any natural language processing project, the input text needs to undergo tokenization before morphological analysis or parsing. For Arabic script languages the tokenization process faces more problems and it plays a more crucial role in natural language processing (NLP) systems for Arabic script languages. In this work we elaborate on some of these problems and present solutions for these. T...

â â â  research in arabic language & literature â â â â â â â  biannual journal â  of the f oreign languages faculty â â of the university of isfahan â â â â â  issue 7, autumn & winter 2012-2013 â â â  issn: 2008-6466 electronic issn: 2322-4649 â  â  â  â  this journal is indexed in below sites: â  â  bjm electronic database http://uijs.ui.ac.ir/rall â  doaj: directory of open access journals ...

Sentiment analysis (SA) has received growing attention in Arabic language research. However, few studies have yet to directly apply SA to Arabic due to lack of a publicly available dataset for this language. This paper partially bridges this gap due to its focus on one of the Arabic dialects which is the Saudi dialect. This paper presents annotated data set of 4700 for Saudi dialect sentiment a...

Arabic writing differs greatly from western scripts. To evaluate the influence of written Arabic on the pattern of language-related brain activation, a group of native Arab speakers and a control group of native Spanish speakers were scanned with magnetoencephalography during a reading task. In both groups, brain activity was strongly left lateralized during the time window between 200 and 500 ...