Language Modelling Lecture 1 Quiz
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Questions and Answers

What does the Multinomial distribution model in language modelling?

  • The outcome of a continuous event
  • The outcome of multiple events simultaneously
  • The outcome of a binary event
  • The outcome of a single event out of a set of possibilities (correct)

    • In language modelling, what does 'K' represent in the context of text data?

  • Number of classes
  • Vocabulary size (correct)
  • Total number of words
  • Number of documents

    • What is the maximum likelihood solution in Probabilistic modelling for text data?

  • Expectation-Maximization Algorithm
  • Principal Component Analysis
  • K-Means Clustering
  • Conditional Probabilities (correct)

    • What aspect of language modelling involves the concept of N-Grams?

    <p>Predictive text input</p> Signup and view all the answers

    In the context of language modelling, what is one application where Multinomial distribution is useful?

    <p>Spell checking</p> Signup and view all the answers

    Which of the following is NOT a common application of language modelling?

    <p>Image recognition</p> Signup and view all the answers

    What is the purpose of the multinomial distribution in the context of language modelling?

    <p>To model the probability of each word appearing in the text</p> Signup and view all the answers

    What is the significance of the concept of N-Grams in language modelling?

    <p>It enables the prediction of the next word in a sequence based on the previous N-1 words</p> Signup and view all the answers

    What does the parameter 'K' represent in the context of language modelling using the multinomial distribution?

    <p>The number of unique words in the vocabulary</p> Signup and view all the answers

    Which of the following is a common application of the multinomial distribution in language modelling?

    <p>Spell correction</p> Signup and view all the answers

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