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Menu iconMenu iconNatural Language Processing with Python Updated Edition
Natural Language Processing with Python Updated Edition

Quiz Part II: Advanced Text Processing and Modeling

Answers

  1. B) A sequence of N words used for language modeling
  2. D) All of the above
  3. B) They can capture long-range dependencies
  4. B) To assign grammatical categories to words
  5. B) spaCy
  6. A) It identifies the grammatical structure of a sentence
  7. B) TextBlob
  8. C) They can capture complex patterns in data
  9. D) BERT

Answers

  1. B) A sequence of N words used for language modeling
  2. D) All of the above
  3. B) They can capture long-range dependencies
  4. B) To assign grammatical categories to words
  5. B) spaCy
  6. A) It identifies the grammatical structure of a sentence
  7. B) TextBlob
  8. C) They can capture complex patterns in data
  9. D) BERT

Answers

  1. B) A sequence of N words used for language modeling
  2. D) All of the above
  3. B) They can capture long-range dependencies
  4. B) To assign grammatical categories to words
  5. B) spaCy
  6. A) It identifies the grammatical structure of a sentence
  7. B) TextBlob
  8. C) They can capture complex patterns in data
  9. D) BERT

Answers

  1. B) A sequence of N words used for language modeling
  2. D) All of the above
  3. B) They can capture long-range dependencies
  4. B) To assign grammatical categories to words
  5. B) spaCy
  6. A) It identifies the grammatical structure of a sentence
  7. B) TextBlob
  8. C) They can capture complex patterns in data
  9. D) BERT