Özet:

The inability of an individual to hear sounds causes trouble in communicating among other individuals. Sign language helps the deaf community express what they want to say through different hand gestures, facial expressions and body movement. However, not everyone is knowledgeable of sign language. This study aims to develop an android based mobile application translator system which translates text into sign language. The system is called SiTa: Sign Talker. It accepts English and Filipino words or phrases then translates to American Sign Language (ASL) and Filipino Sign Language (FSL). The text analysis algorithm used by the proponents is the Knuth-Morris-Pratt Naïve Algorithm which searches the corresponding sign language animation stored in the application that matches to the entered words or phrase by the user. Besides that, the developed application was evaluated through survey for the performance in term of functionality, reliability, usability, efficiency, maintainability, and portability. The survey results obtained showed that most participants were satisfied with the overall performance of the development system application.

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