1. A method for speech to speech translation using a plurality of computational cores of a natural liquid architecture, comprising: receiving an audio input to be translated into a target language; identifying, based on the received audio input, a cluster of signatures; identifying, based on the cluster of signatures, a first concept, wherein the first concept is common to all signatures within the signature cluster; and determining a match between the first concept and at least a second concept, wherein the second concept is associated with the target language.