Explore topic-wise MCQs in Artificial Intelligence.

This section includes 29 Mcqs, each offering curated multiple-choice questions to sharpen your Artificial Intelligence knowledge and support exam preparation. Choose a topic below to get started.

1.

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
Answer» E.
Discussion
2.

What is full form of NLU?

A. Nature Language Understanding
B. Natural Long Understanding
C. Natural Language Understanding
D. None of the Above
Answer» D. None of the Above
Discussion
3.

Which of the following is used study of construction of words from primitive meaningful units?

A. Phonology
B. Morphology
C. Morpheme
D. Shonology
Answer» C. Morpheme
Discussion
4.

Natural language processing is divided into the two sub fields of:

A. symbolic and numeric
B. time and motion
C. algorithmic and heuristic
D. understanding and generation
Answer» E.
Discussion
5.

What is full form of NLG?

A. Natural Language Generation
B. Natural Language Genes
C. Natural Language Growth
D. Natural Language Generator
Answer» B. Natural Language Genes
Discussion
6.

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
Answer» D. None of the Above
Discussion
7.

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
Answer» B. Handling Tokenization
Discussion
8.

How many steps of NLP is there?

A. 3
B. 4
C. 5
D. 6
Answer» D. 6
Discussion
9.

Which of the following includes major tasks of NLP?

A. Discourse Analysis
B. Automatic Summarization
C. Machine Translation
D. All of the above
Answer» E.
Discussion
10.

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
Answer» E.
Discussion
11.

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
Answer» D. None of the Above
Discussion
12.

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
Answer» D. All of the above
Discussion
13.

"I am tired.", contains which type of ambiguity ?

A. Lexical ambiguity
B. Syntax Level ambiguity
C. Sementic ambiguity
D. None of the Above
Answer» E.
Discussion
14.

What is full form of NLP?

A. Natural Language Processing
B. Nature Language Processing
C. Natural Language Process
D. Natural Language pages
Answer» B. Nature Language Processing
Discussion
15.

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
Answer» C. Noise and Written Text
Discussion
16.

"He lifted the beetle with red cap.", contains which type of ambiguity ?

A. Lexical ambiguity
B. Syntax Level ambiguity
C. Referential ambiguity
D. None of the Above
Answer» C. Referential ambiguity
Discussion
17.

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
Answer» B. Converts human language to machine language
Discussion
18.

How many Components of NLP are there?

A. 2
B. 3
C. 4
D. 5
Answer» B. 3
Discussion
19.

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
Answer» B. They are highly precise.
Discussion
20.

THE_MORE_GENERAL_TASK_OF_COREFERENCE_RESOLUTION_ALSO_INCLUDES_IDENTIFYING_SO-CALLED_‚ÄÖ√Ñ√∂‚ÀÖ√Ë‚ÀÖ‚À´BRIDGING_RELATIONSHIPS‚ÄÖ√Ñ√∂‚ÀÖ√Ë‚ÀÖŒÄ_INVOLVING_REFERRING_EXPRESSIONS.?$#

A. True
B. False
Answer» B. False
Discussion
21.

Morphological_Segmentation$

A. Does Discourse Analysis
B. Separate words into individual morphemes and identify the class of the morphemes
C. Is an extension of propositional logic
D. None of the mentioned
Answer» C. Is an extension of propositional logic
Discussion
22.

Machine Translatio?

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
Answer» B. Converts human language to machine language
Discussion
23.

Coreference Resolution is

A. Anaphora Resolution
B. Given a sentence or larger chunk of text, determine which words (“mentions”) refer to the same objects (“entities”)
C. All of the mentioned
D. None of the mentioned
Answer» C. All of the mentioned
Discussion
24.

The major tasks of NLP includes

A. Automatic Summarization
B. Discourse Analysis
C. Machine Translation
D. All of the mentioned
Answer» E.
Discussion
25.

Choose form the following areas where NLP can be useful.

A. Automatic Text Summarization
B. Automatic Question-Answering Systems
C. Information Retrieval
D. All of the mentioned
Answer» E.
Discussion
26.

Modern NLP algorithms are based on machine learning, especially statistical machine learning.

A. True
B. False
Answer» B. False
Discussion
27.

One of the main challenge/s of NLP Is _____________

A. Handling Ambiguity of Sentences
B. Handling Tokenization
C. Handling POS-Tagging
D. All of the mentioned
Answer» B. Handling Tokenization
Discussion
28.

NLP is concerned with the interactions between computers and human (natural) languages.

A. True
B. False
Answer» B. False
Discussion
29.

Natural Language Processing (NLP) is field of

A. Computer Science
B. Artificial Intelligence
C. Linguistics
D. All of the mentioned
Answer» E.
Discussion