Machine Representation of Spoken Arabic and Its Applications: Machine Comprehension and Artificial Synthesis in Artificial Intelligence Applications

Abstract

The goal of this paper is to highlight the major artificial intelligence applications that rely on the representation of the spoken form of Arabic, along with its uses for the academic and practical needs of Arabic speakers, both native and non-native.

Structure of the Paper

• Section One: Representation of Spoken Language
• The concept of spoken language 
• The concept of automatic speech processing 
• The importance of spoken language processing 
• Analysis and synthesis at the level of linguistic sounds 
• Speech synthesis and automatic understanding 
• Section Two: Spoken Arabic in Artificial intelligence Application
• Challenges in representing spoken Arabic
• Characteristics of the Arabic language system from an information-processing perspective
• Models for representing spoken Arabic in artificial intelligence applications