B.TechSemester 82024-25Natural Language ProcessingKOE088

Natural Language Processing (KOE088) - AKTU Question Paper 2024-25

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 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 8
Session:2024-25
University:AKTU / UPTU

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Questions Asked in 2024-25

Natural Language Processing (KOE088) — complete question paper · 100 marks · 3 Hours

Section AAttempt all questions in brief. 2 x 10 = 20
  • a
    What is Natural Language Processing (NLP)? Write the applications of NLP
  • b
    Write the phases of Natur al Language Processing
  • c
    Write the key steps used for nor malizing textual data in NLP
  • d
    What are the techniques used fo r text representation and text embedding in NLP
  • e
    Provide an example of how a regular expression can be used in NLP for text pattern matching
  • f
    Differentiate betwe en NLU and NLP
  • g
    What is natural language understanding (NLU)? Write the applications of NLU
  • h
    Write some challenges of NLU. 1 K2 i. What is Pre-Trained Language Models? Write deep learning tech niques used for NLP. j. How does natural language understanding work?
Section BAttempt any three of the following: 10 x 3 = 30
  • a
    What do you mean by knowledge representation? Discuss about the semantics and knowledge representation in NLP
  • b
    Define lexical semantics and gi ve an example of how it influ ences sentence meaning
  • c
    What do you mean by semantics? Discuss about the components and elements of semantic analysis
  • d
    What are the basic units of semantic system? Discuss about the techniques used for semantic analysis
  • e
    What is Machine Translation (MT)? What are the components of MT? write some applications of MT
Section CAttempt any one part of the following: 10 x 1 = 10
  • a
    What is Augmented Grammars? Why use Augmented Grammars in NLP? Discuss in detail
  • b
    What is Parsing? Differentiate between Top Down and Bottom U p parsing. Write the advantages a nd disadvantages of Top Down and Bottom Up parsing used in NLP
  • a
    What are Augmented Transition Networks? How ATNs work? Write advantages and applications of ATN
  • b
    What is morphological analysi s ? W h a t a r e t h e t e c h n i q u e s u s ed in morphological analysis for NLP? Write importance and applications of morphological analysis
  • a
    What is Context-Free Grammars (CFGs)? Discuss about the diff erent types of grammars used in NLP
  • b
    What is an Auxiliary Verb? Discuss about the different types o f Auxiliary Verbs. How to use Auxiliary Verbs explain with the he lp of an example?
  • a
    What do you mean by ambiguity and uncertainty in human langu age? Discuss about the major challenges of NLP
  • b
    What are the statistics used for NLP? Discuss about the various Neural Network models used for NLP
  • a
    What are Probabilistic Models? What are the different types of Probabilistic Models? Write importance and applications of Probabilistic Models
  • b
    Define Probabilistic Context Free Grammar (PCFG). Write CKY parsing algorithm. How to calculate the probability of a parse tree in PCFG?

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.

Repeated Questions — KOE088

Questions that appeared in more than one session, found by comparing 4 years of Natural Language Processing papers (2021-22, 2022-23, 2023-24, 2024-25)

2x

Write the phases of Natur al Language Processing

Appeared in: 2021-22 · 2024-25

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