Ask the Chatbot Games & Quizzes History & Society Science & Tech Biographies Animals & Nature Geography & Travel Arts & Culture ProCon Money Videos
Britannica Sources used in this answer

Why did early artificial intelligence programs struggle with language tasks?

Created from Britannica articles using AI. AI can make mistakes, so verify using Britannica articles.
Artificial intelligence
artificial intelligence Image generated by the Stable Diffusion model from the prompt “the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings,” which is the definition of artificial intelligence in the Encyclopædia Britannica article on the subject. Stable Diffusion is trained on a large set of images paired with textual descriptions and uses natural language processing to generate an image.

Early artificial intelligence programs struggled with language tasks primarily because they relied on hand-coded, rule-based systems. These early models were unable to account for the vast array of exceptions, nuances, and complexities inherent in human language.12

Specifically, these systems lacked the ability to interpret linguistic elements that humans typically learn through experience, such as:

  • Sarcasm2
  • Idioms2
  • Metaphors2

Because these programs were rigid and lacked the capacity to "learn" or adapt, they could not effectively parse or respond to language in a way that mirrored human ability. It was only through the later development of statistical natural language processing and modern deep-learning models that AI systems began to use probability and complex patterns to generate more humanlike responses.12