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This paper describes the design and implementation of a web-based system and web service for decoding and coloring Arabic text. The decoding of Arabic text is done by analyzing and identifying attached affixes (prefixes and suffixes), particle and silent letters of the selected text based on the sentence morphological structure. Our proposed system, which we called ArCode, is a combination of color-coding technique, Transliteration and text-to-speech technologies that creates an educational tool for learning Arabic language. It also provides web services for developers who want to integrate the system in their own applications. |
