You've learned this already. ✅
Click here to view the next lesson.
Quiz Part II: Advanced Text Processing and Modeling
Chapter 4: Language Modeling
- What is an N-gram?
- 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
- Which of the following problems does a Hidden Markov Model (HMM) address?
- A) Evaluation Problem
- B) Decoding Problem
- C) Learning Problem
- D) All of the above
- What is the primary advantage of using Long Short-Term Memory (LSTM) networks over standard RNNs?
- A) They are easier to train
- B) They can capture long-range dependencies
- C) They require less data
- D) They are more interpretable
Chapter 4: Language Modeling
- What is an N-gram?
- 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
- Which of the following problems does a Hidden Markov Model (HMM) address?
- A) Evaluation Problem
- B) Decoding Problem
- C) Learning Problem
- D) All of the above
- What is the primary advantage of using Long Short-Term Memory (LSTM) networks over standard RNNs?
- A) They are easier to train
- B) They can capture long-range dependencies
- C) They require less data
- D) They are more interpretable
Chapter 4: Language Modeling
- What is an N-gram?
- 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
- Which of the following problems does a Hidden Markov Model (HMM) address?
- A) Evaluation Problem
- B) Decoding Problem
- C) Learning Problem
- D) All of the above
- What is the primary advantage of using Long Short-Term Memory (LSTM) networks over standard RNNs?
- A) They are easier to train
- B) They can capture long-range dependencies
- C) They require less data
- D) They are more interpretable
Chapter 4: Language Modeling
- What is an N-gram?
- 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
- Which of the following problems does a Hidden Markov Model (HMM) address?
- A) Evaluation Problem
- B) Decoding Problem
- C) Learning Problem
- D) All of the above
- What is the primary advantage of using Long Short-Term Memory (LSTM) networks over standard RNNs?
- A) They are easier to train
- B) They can capture long-range dependencies
- C) They require less data
- D) They are more interpretable