1. A method for speech to speech translation using a plurality of computational cores of a natural liquid architecture, comprising: receiving an audio signal; identifying a first concept related to the received audio signal; identifying a first language based on the first concept identified for the received audio signal; determining a match between the first concept and at least a second concept by: identifying a first plurality of concepts in the first language, wherein the first plurality of concepts is statistically proximate to the first concept and previously matched to a second plurality of concepts, wherein the second plurality of concepts is respective of the second target language; and identifying the second concept statistically proximate to the second plurality of concepts, wherein the statistical proximity is determined by use of a threshold, wherein the at least second concept represents a target second language.