Open Access

ARTICLE

A Real-Time Automatic Translation of Text to Sign Language

Muhammad Sanaullah^1,*, Babar Ahmad², Muhammad Kashif², Tauqeer Safdar², Mehdi Hassan³, Mohd Hilmi Hasan⁴, Norshakirah Aziz⁴

1 Department of Computer Science, Bahauddin Zakariya University, Multan, 60,000, Pakistan
2 Department of Computer Science, Air University, Multan, 60,000, Pakistan
3 Department of Computer Science, Air University, Islamabad, 44,000, Pakistan
4 Centre for Research in Data Science, Department of Computer and Information Sciences, UniversitiTeknologi PETRONAS, Seri Iskandar, 32610, Perak, Malaysia

* Corresponding Author: Muhammad Sanaullah. Email:

(This article belongs to the Special Issue: Role of Computer in Modelling & Solving Real-World Problems)

Computers, Materials & Continua 2022, 70(2), 2471-2488. https://doi.org/10.32604/cmc.2022.019420

Received 13 April 2021; Accepted 27 May 2021; Issue published 27 September 2021

Abstract

Communication is a basic need of every human being; by this, they can learn, express their feelings and exchange their ideas, but deaf people cannot listen and speak. For communication, they use various hands gestures, also known as Sign Language (SL), which they learn from special schools. As normal people have not taken SL classes; therefore, they are unable to perform signs of daily routine sentences (e.g., what are the specifications of this mobile phone?). A technological solution can facilitate in overcoming this communication gap by which normal people can communicate with deaf people. This paper presents an architecture for an application named Sign4PSL that translates the sentences to Pakistan Sign Language (PSL) for deaf people with visual representation using virtual signing character. This research aims to develop a generic independent application that is lightweight and reusable on any platform, including web and mobile, with an ability to perform offline text translation. The Sign4PSL relies on a knowledge base that stores both corpus of PSL Words and their coded form in the notation system. Sign4PSL takes English language text as an input, performs the translation to PSL through sign language notation and displays gestures to the user using virtual character. The system is tested on deaf students at a special school. The results have shown that the students were able to understand the story presented to them appropriately.

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Keywords

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