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EndsemMay 20232019 patternBE Comp

Natural Language Processing (NLP) SPPU Endsem Question Paper May 2023

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

Subject code
410252(A)
Pattern
2019 pattern
Exam
Endsem
Session
May 2023
Max. marks
70
Time
2½ Hours
Semester
VIII
Paper code
[6004]-495

Printed for: B.E. (Computer Engg.)

Instructions to the candidates

  1. Solve Q.1 or Q.2, Q.3 or Q.4, Q.5 or Q.6 and Q.7 or Q.8.
  2. Neat diagrams must be drawn wherever necessary.
  3. Figures to the right indicate full marks.
  4. Use of calculator is allowed.
  5. Assume suitable data, if necessary.

Questions

  1. Q1

    1. a)

      Describe the process of building a simple Markov model for predicting the next word in a sentence with the help of example.

      [6]
    2. b)

      Suppose you have a text corpus of 10,000 words, and you want to build a bigram model from this corpus. The vocabulary size of the corpus is 5,000. After counting the bigrams in the corpus, you found that the bigram “the cat” appears 50 times, while the unigram “the” appears 1000 times and the unigram “cat” appears 100 times. Using the add-k smoothing method with k=0.5, what is the probability of the sentence “the cat sat on the mat”?

      Also asked:May 2024

      [8]
    3. c)

      Write a short note on Latent Semantic Analysis (LSA).

      Also asked:Nov 2024 ·Nov 2023

      [4]
  2. Q2

    1. a)

      What are generative models of language, and how do they differ from discriminative models?

      Also asked:May 2024

      [4]
    2. b)

      This part has equations that don’t show as text. Open the PDF to read it.

      [6]
    3. c)

      Describe the Latent Dirichlet Allocation (LDA) algorithm and how it is used for topic modeling? 2

      Also asked:Nov 2023

      [8]
  3. Q3

    1. a)

      Describe the concept of Information Retrieval system in Natural Language Processing.

      Also asked:Nov 2023

      [4]
    2. b)

      What is Named Entity Recognition (NER)? Describe the various metrics used for evaluation.

      Also asked:Nov 2023

      [8]
    3. c)

      What is Cross-Lingual Information Retrieval and how is it used in Natural Language Processing? Provide an example.

      Also asked:Nov 2023

      [6]
  4. Q4

    1. a)

      Explain the concept of the Vector Space Model and describe how it is used in Information Retrieval.

      Also asked:Nov 2024 ·Nov 2023

      [6]
    2. b)

      Describe entity extraction and relation extraction with the help of examples.

      Also asked:Nov 2024 ·Nov 2023

      [8]
    3. c)

      What is Coreference Resolution? Give examples.

      [4]
  5. Q5

    1. a)

      Write a note on : WordNet.

      [10]
    2. b)

      List the tools available for the development of NLP applications? Write features NLTK and TextBlob?

      Also asked:Nov 2025 ·Nov 2024 ·Nov 2023

      [7]
  6. Q6

    1. a)

      Describe in detail the Lesk algorithm and Walker’s algorithm for word sense disambiguation.

      Also asked:Nov 2024 ·Nov 2023

      [10]
    2. b)

      Which types of tasks are performed by the Gensim library? Give an example.

      Also asked:Nov 2025

      [7]
  7. Q7

    1. a)

      Write a note on : Sentiment Analysis.

      [10]
    2. b)

      Explain Statistical Machine Translation (SMT) with suitable diagrams and example.

      Also asked:Nov 2024 ·Nov 2023

      [7]
  8. Q8

    1. a)

      Describe various Machine Translation Approaches.

      [10]
    2. b)

      Explain Natural Language Generation with reference architecture. 

      Also asked:Nov 2025 ·May 2025 ·Nov 2024 ·Nov 2023

      [7]