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 …

One of the most recent applications of machine learning is to translate sign language into
natural language. Many studies have attempted to classify sign language based on whether …

This article describes the procedures employed during the development of the first
comprehensive machine-readable Turkish Sign Language (TiD) resource: a bilingual lexical …

Recently, facial recognition has been one of the most crucial technologies people need.
Facial recognition has attracted a lot of the crowd; for example, it has been used in security …

Communication represents a very important need especially for deaf persons who use sign
languages. For this reason, facilitating this communication through Information and …

In this paper, we deal with a continuous work to design a new transcription system to
annotate Sign Language in order to use it in different fields of Sign Language Processing …

This paper illustrates the work around the English-American Signs Language (ASL) data
generation for the speech2signs system that is devoted to the generation of a signs …

Abstract The World Federation of Deaf (WFD) claims to present 70 millions of deaf people
worldwide. Deaf person present a high percentage of the people in the world. This …

Sign language can be regarded as a unique form of communication method between
human beings, which relies basically on visualized gestures of the individual body parts to …

Representation of Sign Language (SL) in written form is required for the generation via
avatar or any other tools of synthesis. Although, this problem can be solved by develo** a …