Tradução automática com adequação sintático-semântica para LIBRAS

• Ano de defesa: 2015
• Autor(a) principal: Lima, Manuella Aschoff Cavalcanti Brandão
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal da Paraíba; Brasil; Informática; Programa de Pós-Graduação em Informática; UFPB
• Palavras-chave em Português: Tradução Automática; Plataforma Multimídia; Linguagem Formal de Regras de Descrição; Língua de sinais.; Machine translation; Multimedia Plataforms; Formal rule description language; Sign language.; CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
• Link de acesso: https://repositorio.ufpb.br/jspui/handle/tede/7847

Deaf people communicate naturally using visual-spatial languages, called sign languages. The sign languages (SL) are recognized as official languages in many countries, but the problems faced by deaf people to access to information remains. As a result, they have difficult to exercise their citizenship and to access information in LS. In order to minimize this problem, some works have been developed related to the machine translation of spoken languages to sign languages. However, these solutions have some limitations, since they have to generate contents for deaf with the same quality to the listeners. Thus, this work aims to develop a solution for machine translation to Brazilian Sign Language (LIBRAS) addressing syntactic-semantic issues. This solution includes a LIBRAS machine translation component; a rule description language, modeled to describe morphosyntactic-semantic machine translation rules; the definition of a grammar exploring these aspects; and the integration of these elements with VLibras, a machine translation service of digital contents in Brazilian Portuguese to LIBRAS. To evaluate the solution, some computational tests were performed using WER and BLEU metrics, along with some tests with Brazilian deaf users and LIBRAS specialists. The results show that the proposed approach could improve the results of the current version of VLIBRAS.