Natural Language Processing (NLP) SPPU Insem Question Paper Mar 2023
All 4 questions from this SPPU insem paper, as printed. Read them here or open the PDF.
- Subject code
- 317532 (B)
- Pattern
- 2019 pattern
- Exam
- Insem
- Session
- Mar 2023
- Max. marks
- 30
- Time
- 1 Hour
- Semester
- II
- Paper code
- [6009]-428
Printed for: T.E. (Artificial Intelligence and Data Science) (Insem)
Instructions to the candidates
- Solve questions Q.1 or Q.2 and Q.3 or Q.4.
- Neat diagrams must be drawn wherever necessary.
- Figures to the right indicate full marks.
- Assume suitable data, if necessary.
Questions
Q1
- a)[5]
Explain Generic Natural Language Processing System in detail.
- b)[5]
List and explain the challenges of Natural Language Processing.
- c)[5]
Describe knowledge-based approaches used in NLP.
Also asked:Mar 2024
OR- a)
Q2
- a)[5]
List and explain different Levels of Natural Language Processing.
- b)[5]
Explain the applications of Natural Language Processing.
- c)[5]
Describe rule-based approaches used in NLP.
Also asked:Mar 2024
- a)
Q3
- a)[5]
What is Morphology? Which are the types of Morphology?
- b)[5]
Explain Morphological Parsing with Finite-State Transducers.
Also asked:Mar 2024
- c)[5]
Discuss the term Word and Sentence Tokenization.
OR- a)
Q4
- a)[5]
Describe N-gram for language model using suitable example.
- b)[5]
Explain Orthographic Rules and Finite-State Transducers.
- c)[5]
This part has equations that don’t show as text. Open the PDF to read it.
- a)