11
What is the primary goal of Machine Translation in NLP?
A)
To recognize and classify named entities (e.g., names, locations)
B)
To identify the sentiment of a text
C)
To perform tokenization
D)
To translate text from one language to another
Answer & Solution
Answer: Option
D
12
Which NLP task involves converting text from one language to another while preserving its meaning and context?
A)
Named Entity Recognition
B)
Sentiment Analysis
C)
Part-of-Speech Tagging
D)
Machine Translation
Answer & Solution
Answer: Option
D
13
What is the purpose of "lemmatization" in NLP?
A)
To group words into topics
B)
To split text into individual words or tokens
C)
To reduce words to their base or dictionary form
D)
To recognize named entities
Answer & Solution
Answer: Option
C
14
Which NLP technique involves tagging each word in a text with its corresponding part of speech (e.g., noun, verb, adjective)?
A)
Named Entity Recognition
B)
Sentiment Analysis
C)
Part-of-Speech Tagging
D)
Lemmatization
Answer & Solution
Answer: Option
C
15
In the context of NLP, what does the acronym "NER" stand for?
A)
Natural Entity Recognition
B)
Named Entity Recognition
C)
Normalized Entity Recognition
D)
Named Entity Resampling
Answer & Solution
Answer: Option
B
16
What is the primary use of a "corpus" in Natural Language Processing (NLP)?
A)
To perform machine translation
B)
To store and analyze a collection of texts
C)
To identify the sentiment of a text
D)
To generate random text
Answer & Solution
Answer: Option
B
17
Which NLP technique involves assigning a numerical value to each word in a document, typically representing word frequency or importance?
A)
Named Entity Recognition
B)
Sentiment Analysis
C)
Part-of-Speech Tagging
D)
Term Frequency-Inverse Document Frequency (TF-IDF)
Answer & Solution
Answer: Option
D
18
In NLP, what does "TF-IDF" stand for?
A)
Term Frequency-Inverse Document Frequency
B)
Text Feature Indexing-Inverted Dictionary Format
C)
Token Frequency-Inverted Data Field
D)
Term Frequency-Information Document Format
Answer & Solution
Answer: Option
A
19
Which NLP task involves determining the structure of a document, such as extracting headings, paragraphs, and sections?
A)
Named Entity Recognition
B)
Document Summarization
C)
Part-of-Speech Tagging
D)
Machine Translation
Answer & Solution
Answer: Option
B
20
What is the primary goal of Document Summarization in NLP?
A)
To recognize and classify named entities (e.g., names, locations)
B)
To identify the sentiment of a text
C)
To generate a concise and coherent summary of a document
D)
To perform tokenization
Answer & Solution
Answer: Option
C
