Quiz: NLP Essentials Quiz


NLP Essentials QuizOnline version Test basics of NLP by Mobi Ma 1 Which task labels words with their part of speech? a NER tagging b Topic modeling c Sentiment analysis d POS tagging 2 Named Entity Recognition (NER) identifies? a Proper names like persons, places, organizations b Part-of-speech tags c Sentence boundaries d Word embeddings 3 What are word embeddings designed to capture? a Character frequencies b Syntax labels only c Absolute word counts d Semantic relationships between words 4 Which model architecture is common for sequence data? a CNN for images b RNN/LSTM c GAN d Transformer only 5 Transformers excel at? a Convolution of images b Bag-of-words counting c Rule-based parsing d Modeling long-range dependencies via attention 6 What does sequence-to-sequence (seq2seq) model do? a Generates random text b Classifies topics c Maps input sequences to output sequences d Counts tokens in a sequence 7 Which metric is commonly used to evaluate MT quality? a BLEU score b F1 score c Perplexity d ROC-AUC 8 What does NLP stand for in AI? a Natural Listening Process b Neural Language Programming c Natural Language Processing d National Language Processing 9 Which task is NLP mainly used for? a Understanding and generating human language b Compiling programming code c Creating computer hardware d Growing robots in a lab 10 What is tokenization in NLP? a Deleting punctuation only b Breaking text into smaller units called tokens c Translating text to another language d Counting the number of sentences 11 What does POS tagging do in NLP? a Translates the sentence into a different language b Counts the words in a sentence c Labels each word with its part of speech d Detects spelling errors only 12 NLP can help us detect the sentiment of a sentence. Which is a possible sentiment? a Happy, sad, or angry b Bright c Strong d Slow 13 Which NLP tool is designed to talk with people like a chat? a Email client b Chatbot or virtual assistant c Spreadsheet d Web browser 14 What is the NLP task for turning one language into another? a Voice recognition b Speech synthesis c Text summarization d Machine translation 15 Why is training data important in NLP? a Only the hardware matters b Any data works the same c Data is not important d Quality data helps the model learn correctly 16 Which task converts spoken language into written text? a Topic modeling b Speech recognition c Grammar checking d Image classification 17 Which option is NOT an NLP task? a Sentiment analysis b Video compression c Speech recognition d Language translation

1

Which task labels words with their part of speech?

a

NER tagging

b

Topic modeling

c

Sentiment analysis

d

POS tagging

2

Named Entity Recognition (NER) identifies?

a

Proper names like persons, places, organizations

b

Part-of-speech tags

c

Sentence boundaries

d

Word embeddings

3

What are word embeddings designed to capture?

a

Character frequencies

b

Syntax labels only

c

Absolute word counts

d

Semantic relationships between words

4

Which model architecture is common for sequence data?

a

CNN for images

b

RNN/LSTM

c

GAN

d

Transformer only

5

Transformers excel at?

a

Convolution of images

b

Bag-of-words counting

c

Rule-based parsing

d

Modeling long-range dependencies via attention

6

What does sequence-to-sequence (seq2seq) model do?

a

Generates random text

b

Classifies topics

c

Maps input sequences to output sequences

d

Counts tokens in a sequence

7

Which metric is commonly used to evaluate MT quality?

a

BLEU score

b

F1 score

c

Perplexity

d

ROC-AUC

8

What does NLP stand for in AI?

a

Natural Listening Process

b

Neural Language Programming

c

Natural Language Processing

d

National Language Processing

9

Which task is NLP mainly used for?

a

Understanding and generating human language

b

Compiling programming code

c

Creating computer hardware

d

Growing robots in a lab

10

What is tokenization in NLP?

a

Deleting punctuation only

b

Breaking text into smaller units called tokens

c

Translating text to another language

d

Counting the number of sentences

11

What does POS tagging do in NLP?

a

Translates the sentence into a different language

b

Counts the words in a sentence

c

Labels each word with its part of speech

d

Detects spelling errors only

12

NLP can help us detect the sentiment of a sentence. Which is a possible sentiment?

a

Happy, sad, or angry

b

Bright

c

Strong

d

Slow

13

Which NLP tool is designed to talk with people like a chat?

a

Email client

b

Chatbot or virtual assistant

c

Spreadsheet

d

Web browser

14

What is the NLP task for turning one language into another?

a

Voice recognition

b

Speech synthesis

c

Text summarization

d

Machine translation

15

Why is training data important in NLP?

a

Only the hardware matters

b

Any data works the same

c

Data is not important

d

Quality data helps the model learn correctly

16

Which task converts spoken language into written text?

a

Topic modeling

b

Speech recognition

c

Grammar checking

d

Image classification

17

Which option is NOT an NLP task?

a

Sentiment analysis

b

Video compression

c

Speech recognition

d

Language translation

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NLP Essentials Quiz

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NLP Essentials QuizOnline version

by Mobi Ma

Which task labels words with their part of speech?

Named Entity Recognition (NER) identifies?

What are word embeddings designed to capture?

Which model architecture is common for sequence data?

Transformers excel at?

What does sequence-to-sequence (seq2seq) model do?

Which metric is commonly used to evaluate MT quality?

What does NLP stand for in AI?

Which task is NLP mainly used for?

What is tokenization in NLP?

What does POS tagging do in NLP?

NLP can help us detect the sentiment of a sentence. Which is a possible sentiment?

Which NLP tool is designed to talk with people like a chat?

What is the NLP task for turning one language into another?

Why is training data important in NLP?

Which task converts spoken language into written text?

Which option is NOT an NLP task?

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