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Computational Linguistics and Natural Language Processing
Contributed by: Brennan
  • 1. What is Computational Linguistics?
A) The study of how to program computers to understand human language.
B) A field that combines linguistics and computer science to understand and model natural language.
C) The process of translating languages using computational algorithms.
D) A subfield of biology that analyzes genetic coding in organisms.
  • 2. What is the main challenge in processing human language computationally?
A) Ambiguity.
B) Syntax errors.
C) Redundancy.
D) Data volume.
  • 3. Which type of machine learning is commonly used in NLP?
A) Genetic algorithms.
B) Support vector machines.
C) Deep learning.
D) Decision trees.
  • 4. What does POS tagging stand for in NLP?
A) Personalized output selection.
B) Part-of-speech tagging.
C) Position-orientation system.
D) Project object storage.
  • 5. What is the main objective of information extraction in NLP?
A) To summarize a text document.
B) To classify sentences into categories.
C) To automatically extract structured information from unstructured text.
D) To perform machine translation.
  • 6. Which programming language is commonly used for implementing NLP algorithms?
A) C++.
B) JavaScript.
C) Python.
D) Java.
  • 7. Which of the following is an unsupervised learning technique used in NLP?
A) Clustering.
B) Decision trees.
C) Neural networks.
D) Support vector machines.
  • 8. Book reviews classification is an example of what NLP task?
A) Syntactic analysis.
B) Sentiment analysis.
C) Text classification.
D) Machine translation.
  • 9. What is the purpose of machine translation in NLP?
A) To generate new text based on existing content.
B) To summarize text.
C) To automatically translate text from one language to another.
D) To analyze the sentiment of a text.
  • 10. Which type of algorithm is commonly used for named entity recognition?
A) Conditional random fields (CRFs).
B) Genetic algorithms.
C) Support vector machines.
D) Neural networks.
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