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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) The process of translating languages using computational algorithms.
C) A subfield of biology that analyzes genetic coding in organisms.
D) A field that combines linguistics and computer science to understand and model natural language.
  • 2. What is the main challenge in processing human language computationally?
A) Ambiguity.
B) Syntax errors.
C) Data volume.
D) Redundancy.
  • 3. Which type of machine learning is commonly used in NLP?
A) Decision trees.
B) Support vector machines.
C) Deep learning.
D) Genetic algorithms.
  • 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. Book reviews classification is an example of what NLP task?
A) Sentiment analysis.
B) Machine translation.
C) Text classification.
D) Syntactic analysis.
  • 6. Which of the following is an unsupervised learning technique used in NLP?
A) Decision trees.
B) Neural networks.
C) Support vector machines.
D) Clustering.
  • 7. 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.
  • 8. Which type of algorithm is commonly used for named entity recognition?
A) Genetic algorithms.
B) Neural networks.
C) Conditional random fields (CRFs).
D) Support vector machines.
  • 9. What is the main objective of information extraction in NLP?
A) To classify sentences into categories.
B) To summarize a text document.
C) To perform machine translation.
D) To automatically extract structured information from unstructured text.
  • 10. Which programming language is commonly used for implementing NLP algorithms?
A) Java.
B) C++.
C) Python.
D) JavaScript.
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