Quizz 02: Language Modeling

This quizz covers material from the second lecture:
  1. Define what is a language model





  2. Explain how a language model can help in the task of spell checking





  3. Write the chain-rule expression of the joint probability p(w1,...,wn)







  4. What is the Markov assumption applied to language modeling







  5. Define the perplexity of a bigram language model given a dataset [w1...wN]







  6. Define what it means to smooth a distribution estimation.









Last modified 28 Oct 2018