Natural Language Processing Quiz-1

Natural Language Processing Quiz-1

University

9 Qs

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Natural Language Processing Quiz-1

Natural Language Processing Quiz-1

Assessment

Quiz

Engineering

University

Medium

Created by

Khaleel S

Used 2+ times

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9 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

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

the study of computer hardware
the interaction between computers and human language
the development of mobile applications
the analysis of financial data

2.

DRAG AND DROP QUESTION

30 sec • 1 pt

Stemming Leads to ​ (a)   ?

Revert back to Root Word
Change the meaning of a word
Create new words
Increase word complexity

3.

DRAG AND DROP QUESTION

30 sec • 1 pt

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

NLTK
Pandas
NumPy
Matplotlib

4.

MATCH QUESTION

45 sec • 5 pts

Match the following

Adjective Tag

<jj>

Removing of affixes

Lemmatization

more accuracy

stemming

Belongs to NLTK

Corpus

Brown corpus

(n-1) History

BI-Gram Model

5.

CLASSIFICATION QUESTION

1 min • 4 pts

Organize these options into the right categories

Groups:

(a) LLM

,

(b) NLTK

,

(c) pos tagging

,

(d) SpeechAnalysis

word Classes

siri

gpt

<NN>

language learning model

brown Corpus

gemini ai

Alexa

python library

wordnet

6.

REORDER QUESTION

1 min • 5 pts

NLP Analysis Order of Text/Speech

Stemming/Lemmatization

Revert Back With Appropriate Solution

pos tagging

Text/Speech Recognization

Named Entity Recognition

7.

FILL IN THE BLANK QUESTION

30 sec • 1 pt

Which algorithm is commonly used for text classification in NLP_________________?

8.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Devset Referred as ?

Trainnig data

Test data

UnKonwn data

Future Purpose Used Data

9.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

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

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