Introducing the localization use case

In the past few chapters, we looked at a variety of ways NLP can help us understand our customers better. We learned how we can build applications to detect sentiments, monetize content, detect unique entities, and understand context, references, and other analytics processes that help organizations gain important insights about their business. In this chapter, we will learn how to automate the process of translating website content into multiple languages. To illustrate this example, we'll assume that our fictitious banking corporation, LiveRight Holdings Private Limited, has decided to expand internationally to delight potential customers in Germany, Spain, and the cities Mumbai and Chennai in India. The launch date for these four pilot regions is coming up fast; that is, in the next 3 weeks. The expansions operations lead has escalated his concerns to senior management, stating that the IT teams may not be ready with the websites in the...