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POS sequence of the following words: "This was caused by shortages in personal protecting equipment" as follows:

This : < DT >
was : < VBD >
caused : < VBN >
by : < IN >
shortages : < NNS >
in : < IN >
personal : < JJ >
protecting : < VBG >
equipment : < NN >

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This is Python code of Hidden Markov Model - Viterbi Implementation

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