A Hybrid Translation System from Turkish Spoken Language to Turkish Sign Language

Abstract

Sign language is the primary tool of communication for deaf and mute people. It employs hand gestures, facial expressions, and body movements to state a word or a phrase. Like spoken languages, sign languages also vary among the regions and the cultures. The aim of this study is to implement a machine translation system to convert Turkish spoken language into Turkish Sign Language (TID). The advantages of rule-based and statistical machine translation techniques are combined into a hybrid translation system.