Abordagem colaborativa para apoio à avaliação do ensino de português

Resumo

During the literacy process, orality is as important as written language. The large-scale evaluation of this process is fundamental for public bodies responsible for education. With the aid of automatic speech recognition (ASR) tools, it is possible to automate the evaluation of orality, which allows its use on a large scale; however, when automated, there are cases where the process can not define the quality of the reading performed. In such cases, it requires human involvement. The goal of this work is present a computational solution to support a orality evaluation in large scale. This work presents a collaborative solution to complement the automatic large scale evaluation of orality. The results presented reinforce the viability of the solution.