Viva Exp1 & Exp2

Which of the following is NOT a type of ambiguity in NLP?

• Statistical Ambiguity

• Semantic Ambiguity

• Syntactic Ambiguity

• Lexical Ambiguity

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

Which method is commonly used for Part-of-Speech (POS) tagging?

• Rule-Based Tagging

• Statistical Tagging

• All of the above

• Machine Learning-Based Tagging

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

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

Which of the following is a technique used for text categorization?

• Chunking

• Tokenization

• Syntax Analysis

• Naïve Bayes

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

Which of the following best describes the concept of a parse tree?

• A type of machine learning algorithm

• A graphical representation of a derivation

• A method for tokenizing text

• A statistical model for POS tagging

What is the purpose of chunking in NLP?

• To visualize data

• To perform sentiment analysis

• To extract phrases from text

• To analyze sentence structure

Which of the following is a common application of POS tagging?

• All of the above

• Sentiment analysis

• Machine translation

• Text summarization