Sign Language is the natural language used by a community that is hearing impaired. It is
necessary to convert this language to a commonly understandable form as it is used by a …

Convolutional neural networks (CNN) have provided great advances for the task of sign
language recognition (SLR). However, recurrent neural networks (RNN) in the form of long …

Sign language is an important communication tool for the deaf. In this paper, we build a
dynamic hand gesture translation system with video caption without prior hand region …

Sign languages are used by the deaf and mute community of the world. These are gesture
based languages where the subjects use hands and facial expressions to perform different …

This paper describes a preprocessing module for improving the performance of a Spanish
into Spanish Sign Language (Lengua de Signos Española: LSE) translation system when …

The work in this paper presents a MTS from Sanskrit to English language using a hybridized
form of direct and rule-based machine translation technique. This paper also discusses the …

Abstract The development of Neural Machine Translation (NMT) systems has attained
prominent position in language translation tasks. However, it faces huge challenges in …

Abstract Arabic Sign Language (ArSL) is a visual language used by deaf Arabs and some
hard of hearing to translate their thinking. It is a language in its own right as well as spoken …

In this article, the authors deal with the machine translation of written English text to sign
language. They study the existing systems and issues in order to propose an implantation of …

This paper presents the development of a system aimed to facilitate the communication and
interaction of people with severe hearing impairment with other people. The system employs …