Recently, one of the problems arisen due to the amount of information and it’s availability on the web, is the increased need for effective and powerful tool to automatically summarize text. For English and European languages an intensive works have been done with high performance and nowadays they look forward to multi-document and multi-language summarization. However, Arabic language still s...

We present a hybrid approach to the problem of Arabic text summarization. Our approach focuses on segment extraction and ranking using heuristic methods that assign weighted scores to segments of text. Also, we use a text categorization system and the Arabic WordNet to identify the thematic structure of the input text in order to select the most relevant sentences obtained from the statistical ...

In this paper, we present multi-font printed Arabic text recognition using hidden Markov models (HMMs). We propose a novel approach to the sliding window technique for feature extraction. The size and position of the cells of the sliding window adapt to the writing line of Arabic text and ink-pixel distributions. We employ a two-step approach for mixed-font text recognition, in which the input ...

the quranic gramatical inflection (e,rab)and analyzing of this holy text based on the arabic rules and grammar is one of the oldest quranic sciences. on the other hand, for some reasons different gramatical inflections are mentioned or are probable sometimes for one or some words or phrases in quran. here, there is a need to justify these gramatical inflections or to analyze their authenticity....

The paper proposes a diphone/sub-syllable method for Arabic Text-to-speech systems. The proposed approach exploits the particular syllabic structure of the Arabic words. For good quality, the boundaries of the speech segments are chosen to occur only at the sustained portion of vowels. The speech segments consists of consonantshalf vowels, half vowel-consonants, half vowels, middle portion of v...

In any natural language processing project, the input text needs to undergo tokenization before morphological analysis or parsing. For Arabic script languages the tokenization process faces more problems and it plays a more crucial role in natural language processing (NLP) systems for Arabic script languages. In this work we elaborate on some of these problems and present solutions for these. T...