The article explores the possibility to construct a unified word feature out of thecomponent features of letters. Each letter is modeled by a different attractor and finallyembedded in a quadratic iterated map. The result is the word feature that can account forthe meaning extraction process of language understanding. This is a new approach innatural language processing based on the deterministic chaotic behavior of dynamicalsystems.
