In the context of language models, what does the Markov Assumption imply?<br /> A. a. Future states are independent of the present state <br />B. b. Future states depend only on the present state <br />C. c. Past states are independent of future states <br />D. d. Past states depend only on the future state

Markov process is a stochastic process in which the future state solely depends on the current state only.Select one:TrueFalse

How does the state of the process is described in HMM?a) Literalb) Single random variablec) Single discrete random variabled) None of the mentioned

What is a state in a Markov decision process (MDP)?Select one:a.A possible outcome of an actionb.A representation of the current situationc.A representation of the future situationd.A representation of the past situation

CA MARKOV MODEL

Consider the following sentence: a Markov model tags easilyAssume that based on a&nbsp; HMM, we have the following probabilities:&nbsp;Emission:P1(a|DET) = 0.1,&nbsp;&nbsp;&nbsp; P1(easily|ADV) = 0.1,&nbsp; &nbsp;P1(Markov|N) = 0.1,&nbsp; &nbsp;&nbsp;P1(model|N)&nbsp;&nbsp; = 0.095, &nbsp;P1(model|V)&nbsp; =0.005,&nbsp;P1(tags|N) = 0.080,&nbsp; P1(tags|V) = 0.020,Transition probabilities: P(Y|X) Y DET &nbsp; N &nbsp; V &nbsp; ADJ &nbsp; ADV X DET 0 0.55 0 0.02 0.03 &nbsp; N 0.01 0.1 0.08 0.01 0.02 &nbsp; V 0.16 0.11 0.06 0.08 0.08 &nbsp; ADJ 0.01 0.65 0 0.05 0 &nbsp; ADV 0.08 0.02 0.09 0.04 0.04 Initial probabilitiesP3(DET) = 0.20, P3(N) = 0.06, P3(V) = 0.08, P3(ADV) = 0.07, P3(ADJ) = 0.02.What are the possible tag(s) of the sentence?Assume you want to use the Viterbi algorithm to decode the sentence, write down the expression to be evaluated at the initial step.Write down the expression for the second iteration if the first tag is DET, for a second tag of ADJ