Language Modelling Lecture 1 Quiz

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10 Questions

What does the Multinomial distribution model in language modelling?

The outcome of a single event out of a set of possibilities

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

Vocabulary size

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

Conditional Probabilities

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

Predictive text input

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

Spell checking

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

Image recognition

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

To model the probability of each word appearing in the text

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

It enables the prediction of the next word in a sequence based on the previous N-1 words

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

The number of unique words in the vocabulary

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

Spell correction

Test your knowledge on language modelling and its applications such as machine translation, speech recognition, and natural language generation. Questions may cover topics like multinomial distribution and Google autocompletion.

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