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Natural Lenguages
Natural Lenguages
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1
What is the main goal of NLP?
To bridge communication between humans and machines
To translate computer code
To teach grammar rules
To store human emotions
2
What is information extraction in NLP?
Translating code to English
Printing a document
Pulling structured data like names and dates from text
Deleting useless words
3
Which field powers modern NLP?
Robotics only
Machine Learning and Deep Learning
Architecture
Game design
4
Which of the following is an example of Machine Translation?
Google Translate converting Spanish to English
Siri reading a text
Filtering spam
Fixing grammar errors
5
Which example best fits word sense disambiguation?
Classifying company names
Understanding if "bank" means river or finance
Finding verbs
Deleting short words
6
What does semantic analysis focus on?
Word spelling
Meaning of the text
Sentence tone
Grammar correction
7
What does stop word removal do?
Highlights important verb
Replaces words with synonyms
Removes sentences with mistakes
Deletes words that carry little meaning
8
What is tokenization?
Breaking text into smaller units like words or phrases
Deleting punctuation marks
Adding grammar to text
Changing text into images
9
What is text summarization in NLP?
Condensing long text into a brief version
Adding new sentences
Converting audio to text
Counting words
10
What does NLP stand for?
Natural Language Processing
Natural Logic Processing
New Language Platform
Neural Language Pattern
11
What is a parse tree used for?
Visualizing sentence structure
Correcting gramma
Storing documents
Tagging parts of speech
12
What does POS tagging identify?
Word pronunciation
Proper names
Grammatical roles of words
Sentence length
13
Which technique reduces words to their root form?
Lemmatization
Translation
Parsing
Speech tagging
14
What is Sentiment Analysis used for?
Calculating word coun
Identifying emotions in text
Detecting language
Parsing emails
15
How does NLP help with spam detection?
By analyzing message patterns and keywords
By translating content
By identifying fake names
By checking grammar
16
What is the purpose of Named Entity Recognition (NER)?
Correcting spelling
Classifying proper nouns like people or organizations
Highlighting verbs
Identifying sentence mood
17
Which is an example of a virtual assistant using NLP?
Google Assistant responding to a question
A weather app
Microsoft Excel
Calculator
18
Which of the following is a step in text preprocessing?
Machine Translation
parsing
Named Entity Recognition
Tokenization
19
What type of neural network is especially useful in NLP?
GANs
Feedforward
Convolutional
Recurrent Neural Networks (RNNs)
20
What is the focus of syntactic analysis?
Emotion detection
Audio-to-text conversion
Grammar and sentence structure
Sentence meaning
