  Using language makes human beings surpass animals in wisdom. To let machines
understand, learn, and use language flexibly, we propose a human-like general
language processing (HGLP) architecture, which contains sensorimotor,
association, and cognitive systems. The HGLP network learns from easy to hard
like a child, understands word meaning by coactivating multimodal neurons,
comprehends and generates sentences by real-time constructing a virtual world
model, and can express the whole thinking process verbally. HGLP rapidly
learned 10+ different tasks including object recognition, sentence
comprehension, imagination, attention control, query, inference, motion
judgement, mixed arithmetic operation, digit tracing and writing, and
human-like iterative thinking process guided by language. Language in the HGLP
framework is not matching nor correlation statistics, but a script that can
describe and control the imagination.
