Machine Translation with Attention in TensorFlow Python from Scratch

Sequence to Sequence (Seq2Seq) models have been used extensively in various Natural Language Processing (NLP) tasks such as machine translation, text summarization, and question answering. In this blog post, we will implement a Seq2Seq model for Italian-to-English machine translation using TensorFlow and Python OOPs. The model architecture will consist of an Encoder, a Decoder, and an Attention mechanism. The first step in any machine learning task is to preprocess the data. We will be using a dataset of Italian-English sentence pairs for our translation task.