Showing posts with label Hidden Markov Model. Show all posts
Showing posts with label Hidden Markov Model. Show all posts

Monday, August 15, 2022

Natural Language Processing Multiple Choices Questions - HMM is a generative model

Multiple choices questions in NLP, Natural Language Processing solved MCQ, HMM is a generative model, Why HMM is referred as generative model?

Natural Language Processing MCQ - Hidden Markov Model (HMM) is a generative model

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1. A Hidden Markov Model (HMM) is a _____ which means that the model is specified by ______.

a) Discriminative model, P(X, Y)

b) Discriminative model, P(Y|X)

c) Generative model, P(X, Y)

d) Generative model, P(Y|X)


Answer: (c) Generative model, P(X, Y)

Hidden Markov Model (HMM) is a generative model. Generative models capture the joint probability p(X, Y).

Generative models calculate the conditional probability P(y|x) using the joint probability as follows;

P(y|x) = P(x,y) / P(x) = joint probability / prior probability of x

A generative model includes the distribution of the data itself, and tells you how likely a given example is. For example, models that predict the next word in a sequence are typically generative models because they can assign a probability to a sequence of words.

Discriminative models, in contrast, use no knowledge about the probability distributions that underlie a data set. They directly calculate the conditional probability, p(y|x), for a data set. They focus on discriminating between classes, as their name suggests, by analyzing the data to calculate decision boundaries between classes.


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