Before revision:  We describe existing machine models linking language to concrete situations, and point toward extensions to address more abstract cases. Human language processing exploits complementary learning systems, including a deep neural network-like learning system that learns gradually as machine systems do, as well as a fast-learning system that supports learning new information quickly.
After revision:  We describe URLanization of the brain's distributed understanding system, which includes a fast learning system that learns gradually as machine systems do, as well as a fast-learning system that supports learning new information quickly.