AI Natural Language Processing MCQ
Natural Language Processing MCQs : This section focuses on "Natural Language Processing" in Artificial Intelligence. These Multiple Choice Questions (mcq) should be practiced to improve the AI skills required for various interviews (campus interviews, walk-in interviews, company interviews), placements, entrance exams and other competitive examinations.
1. What is full form of NLP?
A. Natural Language Processing
B. Nature Language Processing
C. Natural Language Process
D. Natural Language pages
View Answer
Ans : A
Explanation: Natural Language Processing (NLP) refers to AI method of communicating with an intelligent systems using a natural language such as English.
2. What are the input and output of an NLP system?
A. Speech and noise
B. Speech and Written Text
C. Noise and Written Text
D. Noise and value
View Answer
Ans : B
Explanation: The input and output of an NLP system can be : Speech Written Text
3. How many Components of NLP are there?
A. 2
B. 3
C. 4
D. 5
View Answer
Ans : A
Explanation: There are 2 Components of NLP : NLU & NLG
4. What is full form of NLU?
A. Nature Language Understanding
B. Natural Long Understanding
C. Natural Language Understanding
D. None of the Above
View Answer
Ans : C
Explanation: Natural Language Understanding is full form of NLU.
5. What is full form of NLG?
A. Natural Language Generation
B. Natural Language Genes
C. Natural Language Growth
D. Natural Language Generator
View Answer
Ans : A
Explanation: Natural Language Generation is full form of NLG
6. What is the main challenge/s of NLP?
A. Handling Ambiguity of Sentences
B. Handling Tokenization
C. Handling POS-Tagging
D. All of the above
View Answer
Ans : A
Explanation: There are enormous ambiguity exists when processing natural language.
7. Which of the following includes major tasks of NLP?
A. Discourse Analysis
B. Automatic Summarization
C. Machine Translation
D. All of the above
View Answer
Ans : D
Explanation: There is even bigger list of tasks of NLP.
8. What is Morphological Segmentation?
A. Does Discourse Analysis
B. is an extension of propositional logic
C. Separate words into individual morphemes and identify the class of the morphemes
D. None of the Above
View Answer
Ans : C
Explanation: Morphological Segmentation is Separate words into individual morphemes and identify the class of the morphemes
9. Which of the following is used to mapping sentence plan into sentence structure?
A. Text planning
B. Sentence planning
C. Text Realization
D. None of the Above
View Answer
Ans : C
Explanation: Text Realization : It is mapping sentence plan into sentence structure.
10. Which of the following is used study of construction of words from primitive meaningful units?
A. Phonology
B. Morphology
C. Morpheme
D. Shonology
View Answer
Ans : B
Explanation: Morphology : It is a study of construction of words from primitive meaningful units.
11. How many steps of NLP is there?
A. 3
B. 4
C. 5
D. 6
View Answer
Ans : C
Explanation: There are general five steps :Lexical Analysis ,Syntactic Analysis , Semantic Analysis, Discourse Integration, Pragmatic Analysis.
12. Parts-of-Speech tagging determines ___________
A. part-of-speech for each word dynamically as per meaning of the sentence
B. part-of-speech for each word dynamically as per sentence structure
C. all part-of-speech for a specific word given as input
D. All of the above
View Answer
Ans : D
Explanation: A Bayesian network provides a complete description of the domain.
13. In linguistic morphology _____________ is the process for reducing inflected words to their root form.
A. Rooting
B. Stemming
C. Text-Proofing
D. Both Rooting & Stemming
View Answer
Ans : B
Explanation: In linguistic morphology Stemming is the process for reducing inflected words to their root form.
14. Many words have more than one meaning; we have to select the meaning which makes the most sense in context. This can be resolved by ____________
A. Fuzzy Logic
B. Shallow Semantic Analysis
C. Word Sense Disambiguation
D. All of the above
View Answer
Ans : C
Explanation: Shallow Semantic Analysis doesn't cover word sense disambiguation.
15. Which of the following is demerits of Top-Down Parser?
A. It is hard to implement.
B. Slow speed
C. inefficient
D. Both B and C
View Answer
Ans : D
Explanation: It is inefficient, as the search process has to be repeated if an error occurs and Slow speed of working are Demerits of Top-Down Parser.
16. Which of the following is merits of Context-Free Grammar?
A. simplest style of grammar
B. They are highly precise.
C. High speed
D. All of the above
View Answer
Ans : A
Explanation: The simplest style of grammar, therefore widely used one are merits of Context-Free Grammar.
17. "He lifted the beetle with red cap." contain which type of ambiguity ?
A. Lexical ambiguity
B. Syntax Level ambiguity
C. Referential ambiguity
D. None of the Above
View Answer
Ans : B
Explanation: Syntax Level ambiguity is correct option.
18. "I am tired." Contain which type of ambiguity ?
A. Lexical ambiguity
B. Syntax Level ambiguity
C. Sementic ambiguity
D. None of the Above
View Answer
Ans : D
Explanation: It contain Referential ambiguity.
19. Given a sound clip of a person or people speaking, determine the textual representation of the speech.
A. Text-to-speech
B. Speech-to-text
C. Both A and B
D. None of the Above
View Answer
Ans : B
Explanation: NLP is required to linguistic analysis.
20. What is Machine Translation?
A. Converts one human language to another
B. Converts human language to machine language
C. Converts any human language to English
D. Converts Machine language to human language
View Answer
Ans : A
Explanation: The best known example of machine translation is google translator.
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