Discover Eliza, a pioneering computer program from 1964, using natural language processing and pattern matching to simulate conversations with users.
Eliza is an early natural language processing computer program created in 1964 by Joseph Weizenbaum at MIT. The program simulates a Rogerian psychotherapist and uses pattern matching and substitution methodology to analyze user input and engage in conversation by giving responses based on the detected keywords.
Eliza works by examining the user's input statement and looking for keywords to match against its scripted rules. Based on which rules have their conditions satisfied, Eliza will transform parts of the user input into a response. This gives the illusion of understanding and continuity between turns of the conversation.
The original Eliza program could handle conversations about therapy, emotions, family, and other personal topics. It pioneered techniques that influenced later chatbots and messaging assistants. However, Eliza has no built-in framework for contextualizing events and does not have true comprehension of the conversation. Its responses are generated by a clever manipulation of the user's input rather than an understanding of meaning.
While limited, Eliza showed that natural language processing could be used to simulate human conversation and emotional connections effectively. Even early conversations revealed how people would readily anthropomorphize and open up to computer programs. This inspired later advancements in AI assistants.