Applications based on Natural Language Processing (NLP) have witnessed a tremendous rise in the last few years. New use cases are coming along every day and in order to keep pace with the ever-evolving demand, the need of the hour is to research, innovate, and build efficient solutions for solving the complex problems we face. Innovation in the field of NLP over the years has made it possible to solve some of the most challenging problems, such as language translation and building chatbots, among others.
In this chapter, we will take a look at some of the recent advancements in the field of NLP. We will begin by developing an understanding of Sequence-to-Sequence (Seq2Seq) models and discuss encoders and decoders in the process. We will use this new knowledge to build a French-to-English translator using Seq2Seq modeling. After that, we will have a look...
