! The Judeo-Arabic languages comprise a set of dialects spoken and written by Jewish communities living in Arab countries, mainly during the middle ages. Judeo-Arabic is typically written in Hebrew letters, enriched with various diacritic marks. The Judeo-Arabic spoken and written by any particular Jewish community is similar to the Arabic dialect used by their local Muslim community. In additi...

Does the organization of the mental lexicon reflect the combination of abstract underlying morphemic units or the concatenation of word-level phonological units? We address these fundamental issues in Arabic, a Semitic language where every surface form is potentially analyzable into abstract morphemic units - the word pattern and the root - and where this view contrasts with stem-based approach...

In this paper, a problem of sub-word segmentation of printed Sindhi, an Arabic style scripting language, into characters is addressed. Printed or handwritten Sindhi text is cursive in nature. In the cursive writing, mostly the subsequent characters in a word are joined with each other. In the proposed segmentation algorithm, first of all, Height Profile Vector (HPV) of thinned primary stroke of...

Most research in Arabic roots extraction focuses on removing affixes from Arabic words. This process adds processing overhead and may remove non-affix letters, which leads to the extraction of incorrect roots. This paper advises a new approach to dealing with this issue by introducing a new algorithm for extracting Arabic words’ roots. The proposed algorithm, which is called the Word Substring ...

With the development and the advancement of social networks, forums, blogs and online sales, a growing number of Arabs are expressing their opinions on the web. In this paper, a scheme of Arabic sentiment classification, which evaluates and detects the sentiment polarity from Arabic reviews and Arabic social media, is studied. We investigated in several architectures to build a quality neural w...

Many text recognition systems recognize text imagery at the character level and assemble words from the recognized characters. An alternative approach is to recognize text imagery at the word level, without analyzing individual characters. This approach avoids the problem of individual character segmentation, and can overcome local errors in character recognition. A word-level recognition syste...

In this paper, we propose a new font and size identification method for ultra-low resolution Arabic word images using a stochastic approach. The literature has proved the difficulty for Arabic text recognition systems to treat multi-font and multi-size word images. This is due to the variability induced by some font family, in addition to the inherent difficulties of Arabic writing including cu...

In recent years, rapidly developed hand written word recognition techniques have attracted researcher’s attention to study Arabic word classification. Arabic language has cursive style of writing so it needs special framework for classification. In this paper, a precise framework for Arabic word classification is presented, which uses sparse coding with spatial pyramid matching (SPM) algorithm ...

persian language has influenced arabic language in many different ways; especially in the lexical area of language. since many persian words have entered arabic language, this language has been affected by persian language and culture. many of these persian words can be found in an arabic lexicon called lesan-al-arab. the writers of this article have analyzed the arabic form of the word sepanjg...

We explore the effect of using Arabic semantic equivalents in an example-based Arabic-English translation system. We describe two experiments using single-word equivalents in translation as test cases for broadening the level of similarity and using multi-word Arabic paraphrases in the future. In the first experiment, we use synonymous Arabic nouns, derived from a lexicon, to help locate potent...