Text to English and Text to Filipino Sign Language Translator: An Android-based Mobile Application with Text Analysis Using Knuth-Morris-Pratt Naive Algorithm

Abstract

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.