9. A method for natural language processing, comprising the steps of: providing a parallel computer processing system performing the natural language processing, wherein the system is configured to simultaneously perform the natural language processing on multiple sources of text, wherein the system comprises a plurality of computer systems, wherein each computer system comprises: a computer processor unit; and a non-transitory computer readable medium operably associated with the computer processor unit, the non-transitory computer readable medium storing instructions executable by the computer processor unit to perform the steps of: receiving an input text, the input text comprising a plurality of sentences; applying a plurality of predetermined scales to the plurality of sentences to obtain a semantic relationship scale-web of the input text, wherein the semantic relationship scale-web of the input text links the words of the plurality of sentences; applying a predefined common sense rule to the plurality of predetermined scale to modify the semantic relationship scale-web; and providing an answer to a question regarding the multiple sources of input text, the answer being based on the modified semantic relationship scale-web of the multiple sources of input text, or the application of the predefined common sense rule.
9. A method for natural language processing, comprising the steps of: providing a parallel computer processing system performing the natural language processing, wherein the system is configured to simultaneously perform the natural language processing on multiple sources of text, wherein the system comprises a plurality of computer systems, wherein each computer system comprises: a computer processor unit; and a non-transitory computer readable medium operably associated with the computer processor unit, the non-transitory computer readable medium storing instructions executable by the computer processor unit to perform the steps of: receiving an input text, the input text comprising a plurality of sentences; applying a plurality of predetermined scales to the plurality of sentences to obtain a semantic relationship scale-web of the input text, wherein the semantic relationship scale-web of the input text links the words of the plurality of sentences; applying a predefined common sense rule to the plurality of predetermined scale to modify the semantic relationship scale-web; and providing an answer to a question regarding the multiple sources of input text, the answer being based on the modified semantic relationship scale-web of the multiple sources of input text, or the application of the predefined common sense rule. 14. The method according to claim 9 , wherein the answer comprises an encrypted message.