Uma ferramenta para aprendizagem significativa de surdos utilizando síntese automática de texto baseada em mapas conceituais

Abstract

More and more people have access to information, whether through digital, either through printed. New technologies applied to automate tasks produce increasing demands on information processing actions in order to provide more information. Through computational tools, resources synthesis texts are increasingly being used to produce information systems with the highest possible synthesis, since people need group a greater amount of information possible. With the growing demand of accessibility for people with disabilities, particularly the deaf, and with the advancement of information technology and communications, new requirements to support special education are being increasingly enhanced. But often, existing solutions emphasize the processes of translation between languages written and signed, which runs into difficulties in interpreting the meaning of the translation. These difficulties are partly a result of differences in writing style that in the case of texts prolix, causes problems context switching, resulting from detailing outside the main focus and structures, as the bet. Given the significant improvement of learning, this paper proposes an automated synthesizer of texts, from the context set by the teacher for a particular class, extracts the text, which is only relative to this context, removing the additional information and this particular point of view, unnecessary. Therefore, this work presents a tool that can enhance meaningful learning of deaf people through the technique applied to the automatic synthesis of text, and, therefore, support the concept maps.