Natural Language Processing Nptel Week 3 Quiz Answers
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Natural Language Processing Nptel Week 3 Quiz Answers (Jan-Apr 2025)
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Q1. Which of the following words contains both derivational and inflectional suffixes?
A) happiness
B) quicker
C) enjoyment
D) responsibilities
Q2. Let’s assume the probability of flipping heads two times in a row with a fair coin is q. Consider a sentence consisting of M random binary digits (0s and 1s). A model assigns probability to each digit in the sentence using the probability q. What is the perplexity of the sentence?
A) 2
B) 3
C) 8
D) 16
Q3. Assume that x represents the input and y represents the tag/label. Which of the following mappings are correct?
A) Generative Models – learn Joint Probability p(x, y)
B) Discriminative Models – learn Joint Probability p(x, y)
C) Generative Models – learn Posterior Probability p(y | x) directly
D) Discriminative Models – learn Posterior Probability p(y | x) directly
Q4. Suppose we want to check the probabilities of the final words that succeed the string “language processing” in the given paragraph. Assume d = 0; it is also given that:
- Number of unigrams = 78
- Number of bigrams = 122
- Number of trigrams = 130
Solve the question using the Kneser-Ney backoff technique.
What is the continuation probability of “is”?
A) 0.00078
B) 0.00076
C) 0.0307
D) 0.00081
Q5. What will be the value of P(is | language processing) using Kneser-Ney backoff technique?
A) 0.6
B) 0.7
Q6. What is the value of P(can | language processing) using Kneser-Ney backoff technique?
A) 0.1
B) 0.02
C) 0.1
D) 0.3
Q7. Consider the HMM given below to solve the sequence labeling problem of POS tagging. With that HMM, calculate the probability that the sequence of words “free workers” will be assigned the following parts of speech:
A) 4.80×10^-8
B) 9.80×10^-8
C) 3.96×10^-7
D) 4.96×10^-8
Natural Language Processing Nptel Week 3 Quiz Answers
For answers to others Nptel courses, please refer to this link: NPTEL Assignment
