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Natural Language Processing CT-1

Total questions: 20

Worksheet time: 40mins

Name
Class
Date
1.

What is the field of Natural Language Processing (NLP)?


a)

Artificial Intelligence

b)

Computer Science

c)

Linguistics

d)

All of the mentioned

2.

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

a)

True

b)

False

3.

What is Machine Translation?

a)

Converts human language to machine language

b)

Converts one human language to another

c)

Converts any human language to English

d)

Converts Machine language to human language

4.

Which library in Python is commonly used for NLP tasks?

a)

TensorFlow

b)

 NLTK

c)

Matplotlib

d)

NumPy

5.

What is the main challenge/s of NLP?

a)

Handling POS-Tagging

b)

Handling Tokenization

c)

Handling Ambiguity of Sentences

d)

All of the mentioned

6.

Which of the following includes major tasks of NLP?

a)

Automatic Summarization

b)

Discourse Analysis

c)

Machine Translation

d)

All of the mentioned

7.

Which of the following is an example of natural language generation?

a)

Writing a news article

b)

Converting speech to text

c)

Translating a document from English to French

d)

Analyzing social media posts

8.

Which of the following is not true input for the NLP?

a)
  1. Text

b)
  1. Image

c)
  1. Types input

d)
  1. Speech

9.

"The car hit the pole while it was moving." what type of ambiguity exists in above sentence?

a)
  1. Semantic

b)
  1. Lexical

c)
  1. Syntactic

d)
  1. Pragmatic

10.

TF-IDF helps in … (a)  

11.

Human Usually Write ’M, To State Am, In Which Type Of Morphology You Can Categorize The Example?

a)

Cliticization

b)

Plural Noun

c)

Singular Noun

d)

Inflectional

12.

_________is the study of how the language is used to refer (and re-refer) to people and things?

a)
  1. Syntatic

b)

Semantic

c)
  1. Pragmatics

d)
  1. Morphology

13.

Choose from the following areas where NLP can be useful

a)

Frontpage Designing

b)

Mobile Computing

c)

Automatic Question-Answering Systems

d)

Web Development

14.

_________ Is the Third Stage in NLP?

a)
  1. Syntactic Analysis

b)
  1. Pragmatic Analysis

c)
  1. Semantic Analysis

d)
  1. Discourse Analysis

15.

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 mentioned

16.

The lexical semantic relation between the words “room” and “house” with room as the first word and the house as the second is

a)

hypernym – hyponym

b)

hypernym – meronym

c)

meronym – holonym

d)

holonym – hyponym

17.

The study of the sound patterns in natural language and the rules that govern them is:

a)

Phonology

b)

Morphology

c)

Phonetics

d)

Syntax

18.

Which of the following is an NLP task that involves determining all referring expressions that point to the same real-world entity?

a)

Named entity recognition

b)

Coreference resolution

c)

Information extraction

d)

All of the above

19.

Which of the following techniques is commonly used in text classification tasks?

a)

Latent Semantic Analysis (LSA)

b)

b)

Convolutional Neural Networks (CNN)

c)

Support Vector Machines (SVM)

d)

Principal Component Analysis (PCA)

20.

What is the process of converting words into their base or root form called?

a)

Stemming

b)

Tokenization

c)

Lemmatization

d)

Part-of-speech tagging