Natural Language Processing with Python Updated EditionChapter 81
Chapter 4: Language Modeling
Section 1 of 4-~ 1 min read-Synced from Cuantum content
1. 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
1. 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
1. 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