Understanding natural language processing with RNNs

Natural language processing (NLP) is a subfield of computer science that studies algorithms for processing and analyzing human languages. There are a variety of algorithms and approaches for teaching computers to solve a task that assumes using human language data. Let's start with the basic principles used in this area. After all, the computer does not know how to read, so the first issue with NLP is that you have to teach a machine to work with natural language words. One idea that comes to mind is to encode words with numbers in the order they exist in the dictionary. This idea is fairly simple – numbers are endless, and you can number and renumber words with ease. But this idea has a significant drawback; the words in the dictionary are in alphabetical order, and when we add new words, we need to renumber a lot...