Automatic Translation from Arabic to Arabic Sign Language: A Review

Abstract

This paper presents the different machine translation approaches. We distinguish two classes: the classical approaches (Direct, Transfer-Based and Interlingua) and the corpus-based approaches (Memory, Example and Statistical). We describe languages challenges such as morphology, syntax and structure. We illustrate a previous systems related to foreign (American, British and European) sign language machine translation. We list a review of the most important works related to Arabic Sign Language (ArSL) machine translation.