  Modality is one of the important components of grammar in linguistics. It
lets speaker to express attitude towards, or give assessment or potentiality of
state of affairs. It implies different senses and thus has different
perceptions as per the context. This paper presents an account showing the gap
in the functionality of the current state of art Natural Language Processing
(NLP) systems. The contextual nature of linguistic modality is studied. In this
paper, the works and logical approaches employed by Natural Language Processing
systems dealing with modality are reviewed. It sees human cognition and
intelligence as multi-layered approach that can be implemented by intelligent
systems for learning. Lastly, current flow of research going on within this
field is talked providing futurology.
