Skip to content
EndsemNov 20242019 patternBE Comp

Natural Language Processing (NLP) SPPU Endsem Question Paper Nov 2024

All 8 questions from this SPPU endsem paper, as printed. Read them here or open the PDF.

Open the PDFMost repeated NLP questions
Subject code
410252 A
Pattern
2019 pattern
Exam
Endsem
Session
Nov 2024
Max. marks
70
Time
2½ Hours
Semester
VIII
Paper code
[6354]-500

Printed for: B.E. (Computer Engineering)

Instructions to the candidates

  1. Answer Q1 or Q2, Q3 or Q4. Q5 or Q6 and Q7 or Q8.
  2. Neat diagrams must be drawn wherever necessary.
  3. Figures to the right side indicate full marks.
  4. Assume suitable data necessary.

Questions

  1. Q1

    1. a)

      Write a note on Generative Models of Language.

      Also asked:Nov 2023

      [4]
    2. b)

      Describe LDA for topic modeling with example.

      [8]
    3. c)

      Describe HMM with help of example.

      [6]

  2. Q2

    1. a)

      Write a note on Latent Semantic Analysis (LSA).

      Also asked:Nov 2023 ·May 2023

      [4]
    2. b)

      Explain BERT.

      [8]
    3. c)

      What is Smoothing? Explain Laplace/Add-1 smoothing with example.

      [6]

  3. Q3

    1. a)

      Define following w. r. t. Information Retrieval i) Term Frequency ii) Inverse Document Frequency

      [6]
    2. b)

      Explain Information Retrieval architecture with neat diagram.

      [8]
    3. c)

      Describe co-reference resolution with example.

      [4]

  4. Q4

    1. a)

      Explain Entity Extraction and Relation Extraction w. r. t. NER.

      Also asked:Nov 2023 ·May 2023

      [6]
    2. b)

      Explain Cross Lingual Information Retrieval with example.

      [8]
    3. c)

      Describe Vector Space Model for Information Retrieval. 2

      Also asked:Nov 2023 ·May 2023

      [4]

  5. Q5

    1. a)

      Describe Lesk algorithm and Walker’s algorithm for Word Sense Disambiguation.

      Also asked:Nov 2023 ·May 2023

      [10]
    2. b)

      Write a note on SpyCy Library.

      [7]

  6. Q6

    1. a)

      Explain following Lexical Knowledge Networks: i) TreeBanks ii) PropBanks iii) WordNet iv) IndoWordNet v) VerbNets

      Also asked:Nov 2023

      [10]
    2. b)

      List tools available for development of NLP applications. Write features of any 3 tools.

      Also asked:Nov 2025 ·Nov 2023 ·May 2023

      [7]

  7. Q7

    1. a)

      Explain Rule Based Machine Translation and Statistical Machine Translation with suitable diagram and example.

      Also asked:Nov 2023 ·May 2023

      [10]
    2. b)

      Explain Question Answering system with neat diagram.

      [7]

  8. Q8

    1. a)

      Write a note on-Sentiment Analysis.

      [10]
    2. b)

      Explain Natural Language Generation with reference architecture. 

      Also asked:Nov 2025 ·May 2025 ·Nov 2023 ·May 2023

      [7]