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Q.2:- Consider the following example Training data: Sam I am Sam I like Sam I do like do I like Sam Assume that we use
Q.2:- Consider the following example Training data: Sam I am Sam I like Sam I do like do I like Sam Assume that we use a bigram language model based on the above training data. 1. What is the most probable next word predicted by the model for the following word sequences? (Marks=10) (1) Sam... (2) Sam I do... (3) Sam I am Sam... do I like... II. Which of the following sentences is better, i.e., gets a higher probability with this model?(Marks-5) (1) Sam I do I like (2) Sam I am (3)
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