Natural Language Processing: Enabling Machines to Understand Us
Natural Language Processing: Enabling Machines to Understand Us Natural language processing (NLP) helps computers understand and generate human language. It blends linguistics, statistics, and computer science to turn text and speech into useful insights. Today, NLP powers search engines, voice assistants, and tools that summarize long documents, making information easier to grasp. Key tasks in NLP today include: Tokenization and parsing Named entity recognition Sentiment analysis Machine translation Question answering Information extraction How these systems learn is equally important. They use large collections of text to discover patterns in grammar, word meaning, and context. Modern NLP often relies on neural networks that read whole sentences or paragraphs and predict what comes next. Transformer models have made these predictions more accurate and flexible, enabling longer conversations and better translation. ...