Multi-Level Analysis and Annotation of Arabic Corpora for Text-to-Sign Language MT

This work addresses the challenge of creating annotated corpora for Arabic text-to-sign language translation, which is incremental as it builds on existing annotation methods for a specific domain.

The paper tackles the problem of lexical semantic analysis and annotation of Modern Standard Arabic text for text-to-sign language machine translation, presenting an ongoing effort with a semi-automatic annotation tool that addresses morphologic, syntactic, and semantic levels.