Hands-on Tutorials

Neural Machine Translation using a Seq2Seq Architecture and Attention (ENG to POR)

Deep Learning application with Tensorflow and Keras

1. Introduction

Neural Machine Translation (NMT) is an end-to-end learning approach for automated translation [1]. Its strength comes from the fact that it learns the mapping directly from input text to associated output text. It has been proven to be more effective than traditional phrase-based machine translation…