Language Processing Neural Network with Additional Learning

Abstract

We propose a vector conversion method of words and a language processing neural network (LPNN) with additional learning. A vector conversion method is a technique of generating word vector. The LPNN receives Japanese texts, and outputs or infers the knowledge that related to the inputs. The LPNN can learn inputs, even if the first learning process is completed. We carried out several kinds of computer simulations to confirm validity and effectiveness of the network.