Skip to content
EndsemMay 20232019 patternTE AI&DS

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.

Open the PDFMost repeated NLP questions
Subject code
317532(B)
Pattern
2019 pattern
Exam
Endsem
Session
May 2023
Max. marks
70
Time
2½ Hours
Semester
II
Paper code
[6003]-547

Printed for: T.E. (Artificial Intelligence and Data Science)

Instructions to the candidates

  1. Solve questions Q.1 or Q.2, Q3 or Q4, Q5 or Q6, Q7or Q8.
  2. Neat diagrams must be drawn wherever necessary.
  3. Figures to the right indicate full marks.
  4. Assume suitable data if necessary.

Questions

  1. Q1

    1. a)

      Explain Combinatory Categorial Grammar.

      [8]
    2. b)

      List and Explain grammar rules for English.

      Also asked:Nov 2025 ·May 2024

      [9]

  2. Q2

    1. a)

      Explain partial parsing with example.

      [8]
    2. b)

      Discuss Advanced Methods in Transition-Based Parsing.

      [9]

  3. Q3

    1. a)

      Explain Word Sense Induction.

      [8]
    2. b)

      Explain Features-based Algorithm for Semantic Role Labeling.

      [9]

  4. Q4

    1. a)

      Explain Connotation Frames.

      [8]
    2. b)

      Explain defining emotions with Plutchik wheel of emotion. 2

      [9]

  5. Q5

    1. a)

      Explain need of Machine Translation (MT) with suitable example. Which are the problems of Machine Translation?

      Also asked:May 2024

      [9]
    2. b)

      Write short note on : i) Knowledge based MT System ii) Encoder-decoder architecture [4]

      Also asked:May 2024

      [5]

  6. Q6

    1. a)

      Explain Machine Translation (MT) approaches with suitable example. Describe Direct Machine Translation in detail.

      Also asked:May 2024

      [9]
    2. b)

      Write short note on : i) Statistical Machine Translation (SMT). ii) Neural Machine Translation. [4]

      Also asked:May 2024

      [5]

  7. Q7

    1. a)

      Elaborate Information retrieval- Vector space Model in detail.

      Also asked:May 2024

      [9]
    2. b)

      Write short note on : i) Categorization. ii) Summarization. iii) Sentiment Analysis.

      Also asked:May 2024

      [9]

  8. Q8

    1. a)

      Discuss Information Extraction using Sequence Labelling in detail.

      Also asked:May 2024

      [9]
    2. b)

      Write short note on : i) Named Entity Recognition. ii) Analyzing text with NLTK. iii) Chatbot using Dialogflow. 

      Also asked:May 2025 ·May 2024

      [9]