How Machines Learn To Read And Write

If you've ever dealt with an AI technology that has conversed with you, either via speech or text, then you have indirectly used AI that had natural language processing (NLP) capabilities. Language-capable AI is different than most other machine learning algorithms in that the data that they have to deal with is inherently messier. Instead of being given very structured data, usually in a row/column format, language-capable AIs must deal with messy, unstructured text, different styles of writing, typos, accents, etc., in order to make accurate predictions and take specific actions. This article will focus on those algorithms that work with the written language but the concepts transfer over quite well to AI that deals with speech. Here are four major components of designing AI to read and write.