Providing Accessibility to Hearing-disabled by a Basque to Sign Language Translation System

Autores: María del Puy Carretero, Miren Urteaga, Aitor Ardanza, Mikel Eizagirre, Sara García, David Oyarzun

Fecha: 07.03.2014


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Abstract

Translation between spoken languages and Sign Languages is especially weak regarding minority languages; hence, audiovisual material in these languages is usually out of reach for people with a hearing impairment. This paper presents a domain-specific Basque text to Spanish Sign Language (LSE) translation system. It has a modular architecture with (1) a text-to-Sign Language translation module using a Rule- Based translation approach, (2) a gesture capture system combining two motion capture system to create an internal (3) sign dictionary, (4) an animation engine and a (5) rendering module. The result of the translation is performed by a virtual interpreter that executes the concatenation of the signs according to the grammatical rules in LSE; for a better LSE interpretation, its face and body expressions change according to the emotion to be expressed. A first prototype has been tested by LSE experts with preliminary satisfactory results.

BIB_text

@Article {
author = {María del Puy Carretero, Miren Urteaga, Aitor Ardanza, Mikel Eizagirre, Sara García, David Oyarzun},
title = {Providing Accessibility to Hearing-disabled by a Basque to Sign Language Translation System},
pages = {256-263},
keywds = {

Virtual Character, Automatic Translation, Sign Language, LSE, Natural Language Processing


}
abstract = {

Translation between spoken languages and Sign Languages is especially weak regarding minority languages; hence, audiovisual material in these languages is usually out of reach for people with a hearing impairment. This paper presents a domain-specific Basque text to Spanish Sign Language (LSE) translation system. It has a modular architecture with (1) a text-to-Sign Language translation module using a Rule- Based translation approach, (2) a gesture capture system combining two motion capture system to create an internal (3) sign dictionary, (4) an animation engine and a (5) rendering module. The result of the translation is performed by a virtual interpreter that executes the concatenation of the signs according to the grammatical rules in LSE; for a better LSE interpretation, its face and body expressions change according to the emotion to be expressed. A first prototype has been tested by LSE experts with preliminary satisfactory results.


}
date = {2014-03-07},
year = {2014},
}
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