part-of-speech (POS) tagging is the most common disambiguation process in natural language processing (NLP). POS tagging is the process of classifying or labeling each word in the text to its grammatical category (Noun, Verb, and Particle ….etc.), which consider, as preprocessing step for many NLP application (Information retrieval system, parsing system … etc.).
we can create a model for POS tagging using rule-based approach or markov model approach.