International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 92 - Number 8 |
Year of Publication: 2014 |
Authors: A. E. E. El Alfi, M. M. R. El Basuony, S. M. El Atawy |
10.5120/16030-5126 |
A. E. E. El Alfi, M. M. R. El Basuony, S. M. El Atawy . Intelligent Arabic text to Arabic Sign Language Translation for Easy Deaf Communication. International Journal of Computer Applications. 92, 8 ( April 2014), 22-29. DOI=10.5120/16030-5126
This paper presents an intelligent system to translate Arabic natural language to Arabic sign language based on knowledge base and image processing. This system was designed to help hearing impaired for improving their connection with hearing world and acquiring new concepts. The system plays a role for assisting teachers in sign language domain. Of the most important problems in this task, is that the number of words in the Arabic sign dictionary is very few compared with the words found in the Arabic language dictionaries. To solve this problem the proposed system includes a knowledge base to solve a number of Arabic language problems (e. g synonyms, inflectional, derivational, diacritical and plural).