Abstract
In this paper, 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 by clustering words in thesaurus. The proposed system is able to handle a large number of words converted to vector. The LPNN receives Japanese texts, and outputs or infers the knowledge that related to the inputs. First, the proposed system extracts a relation between words and converts them into triple representations. Then words are converted into vector expression and the word vectors are input into the network. The LPNN is able to 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.
