
Viva Exp1 & Exp2
Authored by Mr. C
Engineering
Professional Development
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25 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is NOT a type of ambiguity in NLP?
Statistical Ambiguity
Semantic Ambiguity
Syntactic Ambiguity
Lexical Ambiguity
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is tokenization in the context of NLP?
The process of splitting text into smaller units
The analysis of sentence structure
The identification of named entities
The conversion of text to speech
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which method is commonly used for Part-of-Speech (POS) tagging?
Rule-Based Tagging
Statistical Tagging
All of the above
Machine Learning-Based Tagging
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of syntax analysis in NLP?
To perform sentiment analysis
To check the grammatical structure of sentences
To extract named entities from text
To visualize data
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the role of POS tagging in information retrieval?
To analyze sentiment
To improve the precision of search results
To generate summaries of texts
To translate languages
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is a technique used for text categorization?
Chunking
Tokenization
Syntax Analysis
Naïve Bayes
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main disadvantage of top-down parsing?
It does not create parse trees
It is slower than bottom-up parsing
It cannot handle ambiguity
It requires backtracking
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