Natural language processing (NLP) is a rapidly advancing field whose overarching goal is to bridge the gap between how computers and humans understand and communicate. With the recent advancements in NLP-related technologies and applications, nowadays, computers can understand text, speech, and sentiments and analyze them without any bias in order to generate meaning. The nature of the human language and its rules makes NLP one of the most challenging branches of computer science. NLP works primarily by breaking down a language into small elements and trying to understand the relationship between them so that they make sense. This chapter will make you familiar with some of the popular NLP applications of deep learning while using R. 

In this chapter, we will cover the following recipes:

• Neural machine translation
• Summarizing text using deep learning
• Speech recognition