The article deals with special aspects of Arabic Teaching in Tatar schools and madrasas at the end of XIX – beginning of XX centuries in the light of Arabic textbooks preserved up modern times. The author investigates continuity of Arabic Linguistic traditions in writing and publishing books on Arabic Grammar for Tatars. Tatar teachers of Arabic tried to find their own approach to an educationa...

Arabic is a highly inflectional language, with a rich morphology, relatively free word order, and two types of sentences: nominal and verbal. Arabic natural language processing in general is still underdeveloped and Arabic natural language generation (NLG) is even less developed. In particular, Arabic natural language generation from Interlingua was only investigated using template-based approa...

The daily spoken variety of Arabic is often termed the colloquial or dialect form of Arabic. There are many Arabic dialects across the Arab World and within other Arabic speaking communities. These dialects vary widely from region to region and to a lesser extent from city to city in each region. The dialects are not standardized, they are not taught, and they do not have official status. Howev...

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...