  This paper proposes an optimized formulation of the parts of speech tagging
in Natural Language Processing with a quantum computing approach and further
demonstrates the quantum gate-level runnable optimization with ZX-calculus,
keeping the implementation target in the context of Noisy Intermediate Scale
Quantum Systems (NISQ). Our quantum formulation exhibits quadratic speed up
over the classical counterpart and further demonstrates the implementable
optimization with the help of ZX calculus postulates.
