• Attempt any five questions.
• All questions carry equal marks.
Describe the role of regular expressions in NLP and provide examples of how they are used in language processing tasks?
Explain the key components of a Grammarians Language Model (LM) and how it functions in NLP?
Explain the challenges associated with detecting and Correcting Spelling Errors in natural language text.
What is smoothing in the context of N-gram models and why is it necessary? Provide example to show how smoothing works?
What is transformation-based tagging and how does it contribute to improving Part-of-Speech tagging accuracy?
Explain the principles of rule-based Part-of-Speech tagging.
How do CFGs capture the syntactic structure of sentences, and what are the key components of a CFG?
Explain the process of syntactic parsing.
What is the process involved in constructing treebanks, and how do they play a role in both the development and assessment of syntactic parsers?
What is Word Sense Disambiguation in NLP?
Explain the concept of compositional semantics and how it contributes to understanding the meaning of complex expressions?
Explain how speech recognition works, and how NLP enhances this technology?
How does NLP make work processors smarter and more user-friendly?
How is NLP used in commercial applications to improve user experience and interaction?
Write short notes on following:
i) Dictionary and Thesaurus
ii) First order logic
iii) Tokenization
