our work fits into the project entitled "TELA": an environment for learning the Arabic language computer-assisted, which covers many issues related to the use of words in Arabic. This environment contains several sub-systems whose purpose is to provide an important educational function by allowing the learner to discover information beyond the scope of the phrase of the year. In these subsystem...

We aim in this research to find and compare cross-lingual articles concerning a specific topic. So, we need a measure to compare articles. This measure can be based on bilingual dictionary or based on numerical methods such as Latent Semantic Indexing (LSI). In this paper, we use LSI in two ways to retrieve Arabic-English comparable articles. The first one is monolingual: the English article is...

â  â  avicenna’s role in arabic literature â  â  nasrollah shameli * â  hamid ahmadian ** â  â  abstract â  â  the master and doyen, avicenna, is one of the prominent savants of the fourth century a.h. besides medicine and philosophy, he was a master in sciences of his time, and was proficient in arabic literature. he has peerless anthologies in poetry and prose, in both arabic and persian li...

There are many known Arabic lexicons organized on different ways, each of them has a different number of Arabic words according to its organization way. This paper has used mathematical relations to count a number of Arabic words, which proofs the number of Arabic words presented by Al Farahidy. The paper also presents new way to build an electronic Arabic lexicon by using a hash function that ...

We present the results of our Arabic and English runs at the TAC 2011 Multilingual summarisation (MultiLing) task. We participated with centroid-based clustering for multidocument summarisation. The automatically generated Arabic and English summaries were evaluated by human participants and by two automatic evaluation metrics, ROUGE and AutoSummENG. The results are compared with the other syst...

Arabic diacritics are often missed in Arabic scripts. This feature is a handicap for new learner to read َArabic, text to speech conversion systems, reading and semantic analysis of Arabic texts. The automatic diacritization systems are the best solution to handle this issue. But such automation needs resources as diactritized texts to train and evaluate such systems. In this paper, we describe ...

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...

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...

Typeface technology has become quite complex over the years. There have been several attempts to use Arabic calligraphic styles in computer typography. These proved to be useful, but they had their shortcomings and drawbacks. Computational time cost and lack of Arabic script documentation were the most crucial issues with that work. In a few studies, the accuracy of results obtained also was an...

The written form of Arabic, Modern Standard Arabic (MSA), differs quite a bit from the spoken dialects of Arabic, which are the true “native” languages of Arabic speakers used in daily life. However, due to MSA’s prevalence in written form, almost all Arabic datasets have predominantly MSA content. We present the Arabic Online Commentary Dataset, a 52M-word monolingual dataset rich in dialectal...