Resumen de How neural machine translation works

Juan Antonio Pérez Ortiz , Mikel L. Forcada Zubizarreta , Felipe Sánchez Martínez

• This chapter presents the main principles behind neural machine translation systems. We introduce, one by one, key concepts used to describe these systems, so that the reader achieves a comprehensive view of their inner workings and possibilities. These concepts include: neural networks, learning algorithms, word embeddings, attention, and the encoder–decoder architecture.