We propose a machine learning method for recognizing modern Arabic poems based on the common poetic features of modern Arabic poetry. The poetic features include: rhyming, repetition, use of diacritics and punctuations, and text alignment. The method can classify text documents as poem or non-poem documents with a very high accuracy of 99.81%.

the musical symbol is one way of expression among many other ways. it doesn`t directly correspond with meaning or reality. rather, it provides images that are representative of the original. however, symbols goes beyond this and provide deep significant symbolic meanings and visions. mystical poetry has a complex intellectual structure, particularly in arabic and persian literature. hence, musi...

Abstract The article analyses the ways Ḥamīd al-Dīn Balḫī (d. 559/1164) adopted and adapted technique of earlier Arabic authors, most notably al-Ḥarīrī 516/1122), in his Persian maqāmas . It also emends traditional dating maqāma collection.

This paper presents a new approach for document image decomposition and verification based on connected component analysis and geometric properties of labeled regions. The database contains document images with Persian/Arabic text combined with English text, headlines, ruling lines, trademarks and cursive signatures. In particular, Persian/Arabic signature extraction is investigated using speci...

arabic grammar aimed to protect arabic language from any erroneous pronunciations and writings. but grammar itself came to be complicated and came to be a goal rather than a means of reaching to exact learning of arabic language. some of contemporary arabic linguists strived to simplify the arabic grammar and rid it from any complexities. experts like ibrahim mostafa, makhzumi, showqii dhaif an...