NLP Unit 1

What is the core goal of Natural Language Processing (NLP)?

• To create human-like robots

• To bridge the gap between human communication and machine understanding

• To develop new programming languages

• To analyze numerical data

Which of the following applications is powered by NLP?

• Data encryption

• Network security

• Image recognition

• Machine translation

What approach did the Symbolic/Nativist camp in NLP focus on?

• Grammar rules and formal syntax

• Deep learning models

• Using probability and statistics

• Machine learning techniques

Which model introduced by Claude Shannon is significant in NLP?

• Noisy channel model

• Neural network model

• Generative grammar

• Hidden Markov Model

What is a major challenge in NLP related to words with multiple meanings?

• Phrases

• Antonyms

• Synonyms

• Homonyms

Which of the following is NOT a level of NLP abstraction?

• Phonology

• Morphology

• Syntax

• Mathematics

What does Named Entity Recognition (NER) identify in text?

• Word frequency

• Sentiment

• Grammatical errors

• People, places, organizations

What is the purpose of text segmentation in NLP?

• To summarize long documents

• To convert text into images

• To divide text into sentences and words

• To analyze grammatical structure

Which of the following is a characteristic of natural language?

• Simplicity

• Predictability

• Uniformity

• Ambiguity

What is the main focus of the Stochastic/Empirical approach in NLP?

• Syntax analysis

• Probability and statistics

• Deep learning

• Grammar rules