Arabic morphological analyzer with text to voice

Abstract

Arabic has special features that cannot be found in other languages. Almost all software programs that support Arabic do not handle features like semantic and grammar. For this reason we have developed an intelligent morphological Arabic Analyzer that can predict the correct semantic of Arabic sentences and then deliver the correct grammatical form of the sentence with text and voice. Our proposed analyzer can provide different morphological characteristics of each word in the input text and then extract the syntactic characteristics of these words. The proposed system has many useful applications especially in translation services; it is extremely helpful to people with visual disabilities since the system can read the processed Arabic text to the user, and it can be a great learning tool for non-Arabic speakers who want to learn Arabic.