Natural Language Processing (NLP) as practiced is woefully inadequate. Dependability compliance is not possible with statistical, keyword and other non systems based approaches. However, though dependability compliance is potentially possible with systems (‘rule’) based approaches, in reality this is not the case. One cannot analyse a language(s) in its entirety due to its complexity and its openness. Machine learning approaches as a substitute to manual linguistic analysis too are not a panacea. We propose a micro-systemic approach for dependable NLP.