B.TechSemester 82023-24Natural Language ProcessingKOE088
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Natural Language Processing (KOE088) - AKTU Question Paper 2023-24

B.Tech · Semester 8 · Free PDF Download

This is the official AKTU Natural Language Processing Previous Year Question Paper for B.Tech Semester 8, academic session 2023-24. Published by Dr. A.P.J. Abdul Kalam Technical University (AKTU/UPTU), Lucknow. Free PDF download — no login required.

Course:B.Tech
Semester:Semester 8
Session:2023-24
University:AKTU / UPTU

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Questions Asked in 2023-24

Natural Language Processing (KOE088) — extracted question text · 100 marks · 3 Hours

Section AAttempt all q u e s t i o n s i n b r i e f . 2 x 10 = 20
  • a
    Explain Language Modelling. 02 2
  • b
    Discuss pragmatic analysis. 02 1
  • c
    Discuss about the concept of knowledge. 02 2
  • d
    Briefly describe knowledge representation. 02 1
  • e
    Explain Stochastic Part-of-Speech tagging 02 3
  • f
    What is the concept of Parsing? 02 3
  • g
    Explain Frequency and Amplitude 02 4
  • h
    Discuss Auxiliary verb with suitable example. 02 4 i. Define Dependency tags with example 02 5 j. Explain TF and IDF 02 5
Section BAttempt any three o f t h e f o l l o w i n g : 3 x 10 = 30
  • a
    What is the Concept of Evaluatin g Language Understanding Systems? 10 1
  • b
    How the knowledge is represented using Semantic Networks and Production Rules? State with example
  • c
    Describe Feature Systems and Augmented Grammar under Grammars and Parsing
  • d
    Discuss the process of hand ling questions in context free grammar. Explain with suitable example
  • e
    Explain Viterbi Search Algorithm with an example. 10 5
Section CAttempt any one p a r t o f t h e f o l l o w i n g : 1 x 10 = 10
  • a
    Discuss in brief about the c oncept of Probabilistic Context- Free Grammars
  • b
    Explain the different steps i n natural language understandin g in detail. 10 1
  • a
    Discuss about the following: I. Transition Network Grammars. II. Top- Down Chart Parsing
  • b
    Discuss different types of knowledge. 10 2
  • a
    State Dependency parsing. Explain the working of Shift- reduce parsing in Dependency parsing
  • b
    Discuss Transition Network Grammars and Recursive Transition Networks. Also draw the Transition Network for the following grammar: NP→ART NP1, NP→DET NP1, NP1→ADJ NP1, NP1→N
  • a
    State Encoding Uncertainty. For the given grammar draw the State Transition diagram using Shift Reduce Parsing. S→NP VP, NP→ART N, VP→AUX V NP , VP→V NP
  • b
    Discuss about the database interface under the Natural Language Understanding
  • a
    Discuss the concept of probabilistic context free grammar in detail 10 5
  • b
    Explain hidden Markov model with Baum-Welch parameter re-estimation. Also elaborate on its implementation issues

Question text is extracted from the official AKTU question paper PDF above. Check the original PDF for equations, diagrams and complete wording. Extracted: 2026-08-23.

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