Logo

Natural Language Processing (NLP)

Technical Capabilities
Letter: N

AI technology that enables machines to understand, interpret, and generate human language.

Detailed Definition

Natural Language Processing (NLP) is a branch of artificial intelligence that focuses on enabling computers to understand, interpret, and generate human language in a way that is both meaningful and useful. NLP combines computational linguistics with machine learning and deep learning to help machines process and analyze large amounts of natural language data. Core NLP tasks include tokenization, part-of-speech tagging, named entity recognition, sentiment analysis, machine translation, and text summarization. Modern NLP has been revolutionized by transformer-based models like BERT and GPT, which can understand context and generate human-like text. NLP powers numerous applications including virtual assistants, chatbots, language translation services, search engines, and content analysis tools. Recent advances in NLP have led to models that can engage in sophisticated conversations, write creative content, and even assist with complex reasoning tasks. The field continues to evolve toward more multimodal approaches that combine language with other data types.