Question Paper
Class / Subject: Class 10 (CBSE) · Artificial Intelligence
Chapter: Chapter 5 — Chapter 5: Natural Language Processing Basics
Time Allowed: 32 minutes
Max Marks: 16
1. What does NLP stand for? [1]
(A) Natural Language Processing
(B) New Learning Process
(C) National Language Programme
(D) Numeric Logic Processing
2. What can NLP systems do? [1]
(A) Translate languages and summarise text
(B) Only process images
(C) Only process numbers
(D) Nothing useful
3. What can NLP detect in text? [1]
(A) Sentiment (positive or negative)
(B) Only colours
(C) Only file size
(D) Only image content
4. What does NLP analyse to understand meaning? [1]
(A) Grammar, word meanings and context
(B) Only individual letters
(C) Only punctuation
(D) Only file format
5. What is an example of an NLP application? [1]
(A) Chatbots answering questions
(B) Only physical robots
(C) Only image editing tools
(D) Only spreadsheets
6. What do voice assistants use to understand commands? [1]
(A) NLP
(B) Only computer vision
(C) Only data storage
(D) Nothing specific
7. What challenge does NLP face? [1]
(A) Understanding sarcasm and ambiguous sentences
(B) No challenges at all
(C) Only understanding numbers
(D) Only understanding images
8. Why is human language complex for NLP to process? [1]
(A) It is context-dependent and can include sarcasm or slang
(B) It is always simple and clear
(C) It has no complexity
(D) It never changes
9. What does NLP stand for? [1]
(A) Natural Language Processing
(B) New Learning Process
(C) National Language Programme
(D) Numeric Logic Processing
10. What can NLP systems do? [1]
(A) Translate languages and summarise text
(B) Only process images
(C) Only process numbers
(D) Nothing useful
11. What can NLP detect in text? [1]
(A) Sentiment (positive or negative)
(B) Only colours
(C) Only file size
(D) Only image content
12. What does NLP analyse to understand meaning? [1]
(A) Grammar, word meanings and context
(B) Only individual letters
(C) Only punctuation
(D) Only file format
13. What is an example of an NLP application? [1]
(A) Chatbots answering questions
(B) Only physical robots
(C) Only image editing tools
(D) Only spreadsheets
14. What do voice assistants use to understand commands? [1]
(A) NLP
(B) Only computer vision
(C) Only data storage
(D) Nothing specific
15. What challenge does NLP face? [1]
(A) Understanding sarcasm and ambiguous sentences
(B) No challenges at all
(C) Only understanding numbers
(D) Only understanding images
16. Why is human language complex for NLP to process? [1]
(A) It is context-dependent and can include sarcasm or slang
(B) It is always simple and clear
(C) It has no complexity
(D) It never changes