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Natural Language Processing Quiz-1

Total questions: 9

Worksheet time: 6mins

Name
Class
Date
1.

NLP is all about .........?

a)
the study of computer hardware
b)
the interaction between computers and human language
c)
the development of mobile applications
d)
the analysis of financial data
2.

Stemming Leads to ​ (a)   ?

Choose from the below words
Revert back to Root Word
Change the meaning of a word
Create new words
Increase word complexity
3.

Which library in Python is commonly used for ​ (a)   tasks?​

Choose from the below words
NLTK
Pandas
NumPy
Matplotlib
4.

Match the following

a)

stemming

1.

Removing of affixes

b)

Brown corpus

2.

Belongs to NLTK

Corpus

c)

Lemmatization

3.

more accuracy

d)

<jj>

4.

Adjective Tag

e)

BI-Gram Model

5.

(n-1) History

5.

Organize these options into the right categories

Categorize the following

Alexa

word Classes

python library

wordnet

language learning model

gpt

gemini ai

siri

<NN>

brown Corpus

LLM
NLTK
pos tagging
SpeechAnalysis
6.

NLP Analysis Order of Text/Speech

a)

Text/Speech Recognization

b)

Stemming/Lemmatization

c)

pos tagging

d)

Named Entity Recognition

e)

Revert Back With Appropriate Solution

1)
2)
3)
4)
5)
7.

Which algorithm is commonly used for text classification in NLP (a)   ?

8.

Devset Referred as ?

a)

Trainnig data

b)

Test data

c)

UnKonwn data

d)

Future Purpose Used Data

9.

What is the purpose of named entity recognition (NER) in NLP?

a)
To summarize the main ideas in a text.
b)
The purpose of NER in NLP is to identify and classify named entities in text.
c)
To translate text from one language to another.
d)
To generate new text based on existing content.