The Hough Transform (HT) is a technique commonly used in image processing. It is known for its capacity to detect objects in a given image. In the present paper, we propose to explore the properties of the HT and the use of the Generalized HT (GHT) in Arabic Optical Character Recognition (AOCR). Hence, we first present a GHT based approach for the recognition of Arabic printed characters in the...

In this paper we present a new technique for recognising Arabic cursive words from scanned images of text. The approach is segmentation-free, and is applied to four different Arabic typefaces, where ligatures and overlaps pose challenges to segmentation-based methods. We transform each word into a normalised polar image, then we apply a two dimensional Fourier transform to the polar image. The ...

The Japanese language represents numbers in kana digit words (a syllabic notation), kanji numbers and Arabic numbers (logographic notations). Kanji and Arabic numbers have previously shown similar patterns of numerical processing, and because of their shared logographic properties may exhibit similar brain areas of numerical representation. Kana digit words require a larger phonetic component, ...

Arabic Dialects present many challenges for machine translation, not least of which is the lack of data resources. We use crowdsourcing to cheaply and quickly build LevantineEnglish and Egyptian-English parallel corpora, consisting of 1.1M words and 380k words, respectively. The dialectal sentences are selected from a large corpus of Arabic web text, and translated using Amazon’s Mechanical Tur...

The Arabic language is characterized by its vocal variations. Making its pronunciation a difficult task for Arabic learners. In this paper, we show how we built a mobile application that can detect mispronounced words and guide the user to the correct pronunciation. Foreigners and children can learn Arabic pronunciation in a friendly manner using our application. Our mobile application is custo...

Arabic morphology encapsulates many valuable features such as word’s root. Arabic roots are being utilized for many tasks; the process of extracting a word’s root is referred to as stemming. Stemming is an essential part of most Natural Language Processing tasks, especially for derivative languages such as Arabic. However, stemming is faced with the problem of ambiguity, where two or more roots...

Automatic Multi-Word Term (MWT) extraction is a very important issue to many applications, such as information retrieval, question answering, and text categorization. Although many methods have been used for MWT extraction in English and other European languages, few studies have been applied to Arabic. In this paper, we propose a novel, hybrid method which combines linguistic and statistical a...

When alphabetic stimuli are presented very briefly, people perceive real words better than nonwords. It is generally accepted that this word superiority effect reflects the efficiency of visual word perception. However, much of what is known about this effect comes from research conducted in languages using the Latin alphabet (eg English, French, Italian), and little is known about whether alph...

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...

Despite the recognition of the Arabic language by the United Nations and its active development, there are no powerful interactive dictionaries to accompany efficiently this development. In addition, most of the existing dictionaries require knowledge of morphological rules to get the meaning of words. We studied in this paper the “Interactive Dictionary of Arabic Language”. This is, in our kno...