Abstract
Language learners face difficulties while reading and comprehending Arabic text, this is because of the interwoven nature of Arabic script. In this paper, we present (Arcode) an automatic web-based system, which simplifies instruction on Arabic word decoding and comprehension through utilizing color-coding on Arabic text. The system is designed to help Arabic language learners to analyze and identify attached affixes (prefixes & suffixes), particle and silent letters of the selected text, and sentences based on the sentence morphological structure. This is done by encoding and presenting color conversion per word and character, using a certain color code. The proposed system is a combination of color-coding technique, transliteration, and text-to-speech technologies that creates an educational tool for learning the Arabic language. It also provides web services for developers who want to integrate the system into their own applications.