Natural Language Processing with Python Updated EditionChapter 81

Chapter 4: Language Modeling

Section 2 of 4-~ 12 min read-Synced from Cuantum content
  1. What is an N-gram?
  2. - A) A type of neural network
  • B) A sequence of N words used for language modeling
  • C) A text classification method
  • D) A type of sentiment analysis
  1. Which of the following problems does a Hidden Markov Model (HMM) address?
  2. - A) Evaluation Problem
  • B) Decoding Problem
  • C) Learning Problem
  • D) All of the above
  1. What is the primary advantage of using Long Short-Term Memory (LSTM) networks over standard RNNs?
  2. - A) They are easier to train
  • B) They can capture long-range dependencies
  • C) They require less data
  • D) They are more interpretable