Language Modelling Lecture 1 Quiz
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Questions and Answers

What is the purpose of using a Multinomial distribution in text data modeling?

  • To handle a single event out of K possibilities (correct)
  • To model the outcome of multiple events simultaneously
  • To predict the occurrence of rare words in text data
  • To estimate probabilities for each word in the vocabulary

    • In the context of text data, what does 'N-Grams' refer to?

  • Models that estimate word co-occurrence frequencies
  • Conditional probabilities based on word sequences (correct)
  • Grammatical errors in the text
  • A type of Google autocompletion

    • How is the vocabulary size represented in text data modeling using the Multinomial distribution?

  • As the number of unique words in the dataset (correct)
  • As the total number of words in a document
  • By the number of documents in the corpus
  • By the frequency of rare words in the text

    • What is the maximum likelihood solution when using the Multinomial distribution for text data modeling?

    <p>Probabilistic modeling (D)</p> Signup and view all the answers

    Why are Conditional Probabilities important in language modelling with N-Grams?

    <p>To capture dependencies between word sequences (B)</p> Signup and view all the answers

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