Upon Dynamic Natural Language Processing

Based on some previous work of the author, the purpose of this paper is to deepen the possibility of modeling natural language performance by a chaotic description of meaning starting from the word level. The results of simulations revealed the potential offered by chaotic attractors to encode meaning of words and sentences in a series of complex enfoldments. This new approach may form the basis of an integrated language generation-understanding model.