Natural Language Processing: Machines Understanding Language
Natural Language Processing: Machines Understanding Language Natural Language Processing (NLP) is the field where computers learn to read, listen, and respond in human language. It blends rules about grammar with data-driven learning, and many systems use probabilistic models to guess what comes next. The goal is not just to process words, but to extract meaning, intent, and context that a machine can use in real time. Today, NLP powers search, translation, chatbots, and content analysis. It helps summarize long articles, classify messages, detect tone, and answer questions. At its core, NLP uses data, models, and rules to map language to structured information. It also draws on techniques that handle patterns, grammar, and context clues to decide meaning across many languages. ...