Communication through chaotic modeling of languages

We propose a communication technique that uses modeling of language in the encoding-decoding process of message transmission. A temporal partition (ti me-delay coarse graining of the phase space based on the symbol sequence st atistics) is introduced with little if any intervention required for the ta rgeting of the trajectory. Message transmission is performed by means of co deword, i.e., specific targeting instructions are sent to the receiver rath er than the explicit message. This approach yields (i) error correction ava ilability for transmission in the presence of noise or dropouts, (ii) trans mission in a compressed format, (iii) a high level of security against unde sirable detection, and (iv) language recognition.