Natural language processing enables computers to understand, interpret, and generate human language. Key techniques include tokenization, part-of-speech tagging, named entity recognition, and sentiment analysis. Modern NLP leverages transformer architectures like BERT and GPT models for tasks such as language translation, text summarization, and question answering. Applications span chatbots, voice assistants, content moderation, and automated document analysis across various industries.