Abstract
We propose the approach to integration of natural language processing and symbolization of human's motion patterns and object patterns in the line of sight in order to allow for humanoid robot's acquisition of language. This framework consists of two models : motion-object language model and natural language model. In motion-object language model, the morpheme words are associated with symbols of motion and object via latent states. The natural language model represents order relation among the morpheme words.
