PhD student from the technology designed a system to establish American Sign LanguageGrammars

PhD student from Computer Science Department at the University of Technology Asmaa Mohammed Ali designed a system to establish American Sign Language Grammars, which is used to translate the written text in English to American Sign Language ASL.
The researcher who received PhD dissertation tagged: machine translation from the text to the American Sign Language said that the proposed system consists of two major phases: preparatory phase which is being built Dictionary ASL Word _Movie, which is a huge dictionary of 4677 word in ASL and the corresponding Video files. The second stage is translation which represents the entering English text and output a series of Videos represents the translation in ASL ofentered sentences in English. If the English text included a word that not existed in the dictionary, the system will be formed an image represents the translation of this word in satirical language fingers own ASL.
The researcher showed that the ASL language: is a visible language used the Manual connectionand body language to clarify the meaning. The sign languages are used mainly by people deaf-dumb and hearing-impaired people, and the most widely used sign language is American Sign ASL which are used by deaf-dumb communities in the North American language.
According to many of the experimental results, the Proposed ASL Grammar and structure parallel English ASL Corpus did not record any cases of actual error.
This system has been carried on the Windows8 operating system. Therefore, the proposed power system have been derived from the strength of these two languages, in addition to the strength of a group NLTK tools that have been used as natural language processing NLP.