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EndsemMay 20242019 patternTE AI&DS

Natural Language Processing (NLP) SPPU Endsem Question Paper May 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
317532B
Pattern
2019 pattern
Exam
Endsem
Session
May 2024
Max. marks
70
Time
2½ Hours
Semester
II
Paper code
[6262]-60

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

Instructions to the candidates

  1. Solve questions Q.1 or Q.2, Q.3 or Q.4, Q.5 or Q.6, Q.7or Q.8
  2. Neat diagrams must be drawn wherever necessary.
  3. Figures to the right indicates full marks.
  4. Assume Suitable data if necessary.

Questions

  1. Q1

    1. a)

      Explain Context Free Grammar and Grammar rules For English in detail.

      Also asked:Nov 2025 ·May 2023

      [8]
    2. b)

      Write short note based on constituency parsing. i) Ambiguity ii) Partial Parsing iii) CCG Parsing

      [9]

  2. Q2

    1. a)

      Elaborate dependency relations and dependency formalism of dependency parsing.

      [8]
    2. b)

      Write short note based on constituency parsing. i) Ambiguity ii) Span based neural constituency parsing iii) CKY Parsing

      [9]

  3. Q3

    1. a)

      Explain Word senses and relation between various senses.

      [8]
    2. b)

      Explain lexicon for sentiment-Emotions, sentiment and affect lexicons, Creating Affect Lexicons by Human Labeling with suitable example.

      [9]

  4. Q4

    1. a)

      Write down about WordNet and wordsense disambituition in detail.

      [8]
    2. b)

      Explain lexicon for sentiment-Semi-supervised Induction of Affect Lexicons, Supervised Learning of Word Sentiment, Using Lexicons for Sentiment. Recognition with suitable example.

      [9]

  5. Q5

    1. a)

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

      Also asked:May 2023

      [9]
    2. b)

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

      Also asked:May 2023

      [5]

  6. Q6

    1. a)

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

      Also asked:May 2023

      [9]
    2. b)

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

      Also asked:May 2023

      [5]

  7. Q7

    1. a)

      Elaborate Information retrieval-Vector space Model in detail.

      Also asked:May 2023

      [9]
    2. b)

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

      Also asked:May 2023

      [9]

  8. Q8

    1. a)

      Discuss Information Extraction using Sequence Labelling in detail.

      Also asked:May 2023

      [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 2023

      [9]