Natural Language Processing Without the Jargon
Natural Language Processing Without the Jargon NLP helps computers understand and work with human language. You hear it in search results, chatbots, spell check, and translation. The goal is simple: teach a computer to recognize patterns in language and use them to help people. What the work really means, in plain terms: Data is text: examples of how people write and speak. Model is a recipe: a set of rules the computer uses to connect words to meaning. Features are clues: word order, punctuation, and how often words appear. Training is practice: showing the model many sentences so it can learn likely patterns. Inference is use: when you type a query, the model guesses the best response or label. Everyday uses show the idea clearly: ...