Natural Language Processing (NLP) is a branch of artificial intelligence that gives computers the ability to understand, interpret, and generate human language in a way that is valuable. NLP combines computational linguistics—rule-based modeling of human language—with statistical, machine learning, and deep learning models. These technologies enable computers to process human language in the form of text or voice data and to 'understand' its full meaning, complete with the speaker's or writer's intent and sentiment.
NLP emerged in the 1950s, shortly after the invention of computers. The Georgetown experiment in 1954 demonstrated the automatic translation of more than sixty Russian sentences into English. Initially, NLP relied on complex sets of handwritten rules. In the 1990s, the field shifted toward statistical methods. The introduction of the Transformer architecture in 2017 revolutionized NLP, leading to the development of powerful Large Language Models (LLMs) like GPT and BERT.
NLP is the engine behind many tools we use daily, such as search engines (Google), voice assistants (Siri, Alexa), and translation apps (Google Translate). It is used for sentiment analysis in business, automated customer service (chatbots), spam detection in email, and text summarization. The recent rise of Generative AI has made NLP one of the most visible and impactful technologies in the world.