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What do first-order and second-order Markov processes have in common concerning next word prediction?

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What do first-order and second-order Markov processes have in common concerning next word prediction?

A.

Both use WordNet to model the probability of the next word

B.

Both are unsupervised methods

C.

Both provide the foundation to build a trigram language model

D.

Neither makes assumptions about the probability of the next word

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TESTED 15 Oct 2025