B.TechSemester 52024-25Natural Language ProcessingBCAI052

Natural Language Processing (BCAI052) - AKTU Question Paper 2024-25

B.Tech · Semester 5 · Free PDF Download

This is the official AKTU Natural Language Processing Previous Year Question Paper for B.Tech Semester 5, academic session 2024-25. Published by Dr. A.P.J. Abdul Kalam Technical University (AKTU/UPTU), Lucknow. Free PDF download — no login required.

Course:B.Tech
Semester:Semester 5
Session:2024-25
University:AKTU / UPTU

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Questions Asked in 2024-25

Natural Language Processing (BCAI052) — complete question paper · 70 marks · 3 Hours

Section AAttempt all questions in brief. 2 x 07 = 14
  • a
    Write various limitation of nat ural language Processing
  • b
    Differentiate between top dow n and bottom-up parsers
  • c
    Discuss the concept of Knowledge Representation and Knowledge Base
  • d
    What are the limitations of Probabilistic Context-Free Grammar s (PCFGs)?
  • e
    Write the concept of Phonetics and list out their main branche s
  • f
    Discuss the applications of filter bank methods in speech sign al processing
  • g
    What does discourse planning involve?
Section BAttempt any three of the following: 07 x 3 = 07
  • a
    Explain Add-k smoothing and di scuss different methods for evaluating N-grams
  • b
    Provide an algorithm for a basic top-down parser with an ill ustrative example
  • c
    Describe the thesaurus-based and distributional word similar ity methods, along with the advantages of each
  • d
    Explain the concept of Digita l Signal Processing in detail
  • e
    Elucidate the concepts of para llelization and batch processi ng techniques, and subsequently com pare both methodologies in the context of Natural Language Processing (NLP)?
Section CAttempt any one part of the following: 07 x 1 = 07
  • a
    Provide a pseudo-code algorit hm for parsing a finite-state t ransducer and explain it with an example
  • b
    What is Zipf's Law, and how is it applied in Natural Languag e Processing (NLP)
  • a
    Explain Augmented Grammars a nd Lexicon in the context of NLP
  • b
    For the CFGs given: NP → Det N Draw the shift-reduce parser in processing the sentence The woman saw a puppy Use the following lexical entries to create the chart parser. The | a: Det woman | puppy: N saw : V
  • a
    Explain the different relati onships between word senses. Add itionally, discuss the various knowledge s ources used in Word Sense Disambiguation (WSD)
  • b
    Explain the concept of Thema tic Roles for semantic analysis along with their application
  • a
    Explain the vowels, semi vow els, diphthongs and consonants in respect of Speech recognition system
  • b
    Explain the Linear Predictive Coding (LPC) method in speech processing? How does LPC model sp eech signals, and what benefit s does it offer in speech analysis and synthesis?
  • a
    Explain hidden Markov model with Baum-Welch parameter re- estimation. Also elaborate on its implementation issues
  • b
    Illustrate the concept and pr ocess of Chatbots in detail wit h any example

Question text is extracted from the official AKTU question paper PDF above. Hindi translations are omitted — every question is printed in English in the original paper. Last verified: 2026-08-23.