This article argues that for the success of real natural language processing it is necessary for three additional subsystems to be used in conjunction with Deep Learning:
(a) extraction of features for Scientific Syntax,
(b) ultra-simple pre-linguistic database (in which almost all ontological information should be placed), and
(c) a database of presuppositions that reflects the multi-agent environment.