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AIM NLP

Total questions: 32

Worksheet time: 13mins

Name
Class
Date
1.

Stem word of troubled

a)

trouble

b)

troubl

c)

troub

d)

trout

2.

stem word of consultant

a)

consult

b)

consultant

c)

consu

d)

con

3.
Natural Language Processing (NLP) is the field of
a)
Computer Science
b)
Artificial Intelligence
c)
Linguistics
d)
All of the above
4.
NLP is concerned with the interactions between computers and human (natural) languages.
a)
True
b)
False
5.
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 above
6.
Modern NLP algorithms are based on machine learning, especially statistical machine learning.
a)
True
b)
False
7.

Choose from the following areas where NLP can be useful.

a)
Automatic Text Summarization
b)
Automatic Question-Answering Systems
c)
Information Retrieval
d)
All of the above
8.
The major tasks of NLP includes
a)
Automatic Summarization
b)
Semantic Analysis
c)
Machine Translation
d)
All of the above
9.
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
10.

Which of the following are the examples of the applications of Sentiment Analysis?

a)

Translate the sentence from the Chinese language to the English language

b)

Determine whether a product review is positive or negative

c)

Determine the emotion behind a sentence

d)

Identify the phone number from a given sentence

11.

What is the use of labels in Sentiment Analysis?

a)

To label the type of sentiment of a sentence

b)

To analyse the sentiment of a sentence

c)

To convert the sentence to a form more understandable by the machines

d)

To train the NLP models

12.

The process of assigning meaning to structures created by syntactic analysis is known as (a)   analysis.

13.

They fight and injured. Stephen doesn’t know it was his fault.

a)

Syntactic

b)

Pragmatic

c)

Semantic

d)

No errors

14.

One bowl is in red color and another is in blue. You take the bowl.

a)

Syntactic

b)

Pragmatic

c)

Semantic

d)

No errors

15.

You know his car?

a)

Syntactic

b)

Pragmatic

c)

Semantic

d)

No errors

16.

Just run is not the solution.

a)

Syntactic

b)

Pragmatic

c)

Semantic

d)

No errors

17.

A goat has four legs. Clearly the goat is an animal and carnivore.

a)

Syntactic

b)

Pragmatic

c)

Semantic

d)

No errors

18.

I like HP and I have two laptops currently.

a)

Syntactic

b)

Pragmatic

c)

Semantic

d)

No errors

19.

The squirrel sang bumper cars.

a)

Syntactic

b)

Pragmatic

c)

Semantic

d)

No errors

20.

Which of the following are the major NLP techniques? (Choose 3 options)

a)

Language Translation

b)

Sentiment Analysis

c)

Image Classification

d)

Keyword Extraction

21.

Which of the following are the examples of the applications of Sentiment Analysis? (Choose 2 options)

a)

Translate the sentence from the Chinese language to the English language

b)

Determine whether a product review is positive or negative

c)

Determine the emotion behind a sentence

d)

Identify the phone number from a given sentence

22.

What is the primary goal of Named Entity Recognition (NER) in NLP?

a)

To generate human-like text responses

b)

To summarize large texts into concise formats

c)

To translate text from one language to another

d)

To identify and classify key information in text

23.

The smallest meaningful unit of language analyzed during (a)   analysis is called a morpheme.

24.

Which of the following is a common application of NLP?

a)

Data Mining

b)

Image Recognition

c)

All of the above

d)

Speech Recognition

25.

What does the term 'tokenization' refer to in NLP?

a)

Breaking text into smaller units

b)

Analyzing the sentiment of a text

c)

Translating text into another language

d)

Summarizing a document

26.

The study of how sentences are used in different contexts and how meaning changes with usage is called (a)   .

27.

Which of the following statements correctly distinguishes stemming from lemmatization in morphological analysis?

a)

Stemming uses a dictionary to find the base form, while lemmatization removes suffixes heuristically.

b)
Lemmatization reduces words to their stems, whereas stemming finds synonyms.
c)
Stemming and lemmatization both produce valid words from any input.
d)
Stemming focuses on root forms, potentially creating non-words; lemmatization ensures valid dictionary words.
28.

Which statement best explains why the sentence “Grass eats cows” is semantically incorrect despite being syntactically correct?

a)
The subject and verb do not align with real-world relationships.
b)

It breaks morphological rules because “grass” cannot function as a verb.

c)
The sentence lacks proper grammatical structure.
d)
Cows consume grass in a natural cycle.
29.

Which sentence demonstrates syntactic ambiguity rather than semantic or pragmatic ambiguity?

a)

I saw the Burj Tower flying into Dubai.

b)

Fruit flies like a banana.

c)

She bats her eyelashes.

d)

John walks with Jim and he is wearing a blue shirt.

30.

Given the sentence: “Fruit flies like a banana”, which statement is true about its syntactic and semantic analysis?

a)

Syntactically correct, semantically correct.

b)

Syntactically incorrect, semantically correct.

c)

Syntactically correct, semantically ambiguous.

d)

Syntactically ambiguous, semantically incorrect.

31.

Which level of NLP analysis is primarily responsible for resolving polysemy (e.g., “bank” as river bank vs financial institution)?

a)

Morphological analysis

b)

Syntactic analysis

c)

Pragmatic analysis

d)

Semantic analysis

32.

The sentence “Do you have the time?” is interpreted as “What time is it?” because pragmatic analysis considers the speaker’s (a)   and context.