The South African sign language machine translation project

Abstract

We report on the South African Sign Language Machine Translation project, and more specifically on our experience in extending a synchronous tree-adjoining grammar parser approach in order to generate non-manual signs and construct a suitable signing space. We show that post-processing of the target language tree, after transfer rules have been applied, results in a simple and efficient mechanism to generate information on non-manual signs for use in a signing avatar.