NLP, Artificial Intelligence, Machine Learning, Data Science, Pos Tagging.
Model has the following components: Q: Set of possible Tags A: The A matrix contains the tag transition probabilities P(ti|ti−1) which represent the probability of a tag occurring given the previous tag. Example: Calculating A[Verb][Noun]: P (Noun|Verb): Count(Noun & Verb)/Count(Verb) O: Sequence