As a part of multi-media support system for Arabic e-learning, some vehicle should be provided for training students to pronounce Arabic text themselves. Since the Arabic alphabet is phonetic, it seems a good idea to transliterate Arabic into Roman, the most popular language, but there exists a big gap between Arabic and Roman besides a difference between their alphabets; scripting directions. ...

This paper focuses on three axes. The first axis gives a survey of the importance of corpora in language studies e.g. lexicography, grammar, semantics, Natural Language Processing and other areas. The second axis demonstrates how the Arabic language lacks textual resources, such as corpora and tools for corpus analysis and the effected of this lack on the quality of Arabic language applications...

In this paper, we present the details of the Arabic Semantic Labeling task. We describe some of the features of Arabic that are relevant for the task. The task comprises two subtasks: Arabic word sense disambiguation and Arabic semantic role labeling. The task focuses on modern standard Arabic.

In the context of arabic Information Retrieval Systems (IRS) guided by arabic ontology and to enable those systems to better respond to user requirements, this paper aims to representing documents and queries by the best concepts extracted from Arabic Wordnet. Identified concepts belonging to Arabic WordNet synsets are extracted from documents and queries, and those having a single sense are ex...

DIRA is a query expansion tool that generates search terms in Standard Arabic and/or its dialects when provided with queries in English or Standard Arabic. The retrieval of dialectal Arabic text has recently become necessary due to the increase of dialectal content on social media. DIRA addresses the challenges of retrieving information in Arabic dialects, which have significant linguistic diff...

We present CALIMAGLF, a Gulf Arabic morphological analyzer currently covering over 2,600 verbal lemmas. We describe in detail the process of building the analyzer starting from phonetic dictionary entries to fully inflected orthographic paradigms and associated lexicon and orthographic variants. We evaluate the coverage of CALIMAGLF against Modern Standard Arabic and Egyptian Arabic analyzers o...

The written form of the Arabic language, Modern Standard Arabic (MSA), differs in a nontrivial manner from the various spoken regional dialects of Arabic – the true “native languages” of Arabic speakers. Those dialects, in turn, differ quite a bit from each other. However, due to MSA’s prevalence in written form, almost all Arabic datasets have predominantly MSA content. In this article, we des...

Online Arabic content is growing very rapidly, with unmatched growth in Arabic structured resources. Systems that perform standard Natural Language Processing (NLP) tasks such as Named Entity Disambiguation (NED) struggle to deliver decent quality due to the lack of rich Arabic entity repositories. In this paper, we introduce EDRAK, an automatically generated comprehensive Arabic entity-centric...

This paper presents a preliminary study of intra-speaker and inter-speaker variability in speech production and perception with an inter-dialect investigation of acoustic vocalic space according to different phonological systems. This work aims at providing an analytic study based on individual data that might account for individual strategies. We have studied variability in vowel production an...

Arabic character recognition of handwriting is addressed. A novel approach for the Arabic Character Recognition is presented based on statistical analysis of a typical Arabic text is presented. Results showed that the sub-word in Arabic language is the basic pictorial block rather than the word. The method of approximate stroke sequence is applied for the recognition of some Arabic characters i...