NLP: how to analyze, understand, and generate human language with computers
NLP is no longer an unfamiliar concept for many businesses that rely on computers, as it is helping humans communicate with machines and vice versa. NLP is a technology that combines linguistics, artificial intelligence, and computer science to process and analyze large amounts of natural human language in various settings.
People tried to get computers to understand language by building in rules about the way we thought language worked, however we could never get a computer to respond sensibly or take action based on the sentence that was given to it. The reason for that is that language is very complex.
However, in the past few years, there has been an alternative that has shown promise: machine learning. Instead of hard–coding rules, a system is set up to you give the computer many examples of what it should do. The computer then learns how to do the task.
Neural networks, which are a type of machine learning, and transformers (type of neural network) work well since they have a mechanism for looking at sequences. This is great for text. They are also easy to scale, and it is easy to make large versions, which results in good performance.