Virtual Labs

N-Grams

What is the primary purpose of smoothing in N-Gram models?

a: To assign nonzero probabilities to unseen N-Grams Explanation

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b: To remove all rare words from the corpus Explanation

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c: To increase the N value arbitrarily Explanation

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d: To ignore word order Explanation

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Which of the following is a unigram?

a: language Explanation

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b: natural language Explanation

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c: processing natural language Explanation

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d: natural language processing Explanation

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Which of the following best describes a limitation of N-Gram models?

a: They cannot capture long-range dependencies in language Explanation

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b: They always produce grammatically correct sentences Explanation

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c: They require no training data Explanation

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d: They are only used for image processing Explanation

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What is the main advantage of using trigrams over bigrams?

a: Trigrams consider a longer context, potentially improving prediction accuracy Explanation

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b: Trigrams require less data than bigrams Explanation

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c: Trigrams ignore word order Explanation

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d: Trigrams are not used in NLP Explanation

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A trigram model assigns P(C|A B) = 0.2, P(B|START A) = 0.3, and P(A|START) = 0.4. What is the probability of the sequence START A B C?

a: 0.024 Explanation

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b: 0.9 Explanation

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c: 0.2 Explanation

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d: 0.3 Explanation

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Which of the following is NOT a use case for N-Gram models?

a: Predicting the next word in a sentence Explanation

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b: Speech recognition Explanation

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c: Image segmentation Explanation

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d: Spelling correction Explanation

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Which of the following best describes the chain rule in the context of N-Gram models?

a: It decomposes the probability of a sequence into conditional probabilities Explanation

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b: It ignores the order of words in a sequence Explanation

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c: It increases the N value arbitrarily Explanation

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d: It is used only for unigrams Explanation

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A bigram model assigns P(D|C) = 0.6 and P(C|START) = 0.3. What is the probability of the sequence START C D?

a: 0.18 Explanation

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b: 0.9 Explanation

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c: 0.6 Explanation

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d: 0.3 Explanation

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Which of the following is a reason to use N-Gram models in NLP?

a: They provide a simple and effective way to model language sequences Explanation

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b: They require no data Explanation

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c: They always generate perfect sentences Explanation

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d: They are only used for image processing Explanation

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What is a context window in the context of N-Gram models?

a: The number of previous words considered when predicting the next word Explanation

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b: The total number of words in a sentence Explanation

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c: The number of sentences in a corpus Explanation

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d: The number of N-Grams in a model Explanation

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