Natural Language Processing (KCS072) - AKTU Question Paper 2022-23
B.Tech · Semester 7 · Free PDF Download
This is the official AKTU Natural Language Processing Previous Year Question Paper for B.Tech Semester 7, academic session 2022-23. Published by Dr. A.P.J. Abdul Kalam Technical University (AKTU/UPTU), Lucknow. Free PDF download — no login required.
Course:B.Tech
Semester:Semester 7
Session:2022-23
University:AKTU / UPTU
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Questions Asked in 2022-23
Natural Language Processing (KCS072) — complete question paper
Section AAttempt all questions in brief. 2x10 = 20
- aExplain Language Modelling
- bWhat are the different i ssues and problems in NLP?
- cExplain Treebank Corpus
- dDifferentiate betwee n syntax and semantics
- eExplain Context Free Grammars
- fHow spelling corrections work? Explain
- gExplain Frequency and Amplitude
- hExplain transcription. (i) What is Log–Spectral Distance? (j) Explain TF and IDF
Section BAttempt any three of the following: 10x3 = 30
- aWe are given the following corpus: <s> I am Sam </s> <s> Sam I am </s> <s> I am Sam </s> <s> I do not like green eggs and Sam </s> Using a bigram language model wi th Laplace smoothing, what is P (Sam |am)? Include <s> and </s> in your counts just like any other token
- bExplain Context Free Grammar . Draw tree structure for the following sentence: I need to fly between New Delhi and Mumbai
- cExplain nearest neighbour alg orithm using contextual word e mbeddings. Take example to explain
- dWrite short notes on: (i) Short-Time Fourier Transform (ii) Linear Predictive Coding (LPC)
- eExplain Viterbi Search A lgorithm with an example
Section CAttempt any one part of the following: 10x1 = 10
- aWrite an algorithm for parsi ng a finite-state transducer us ing the pseudo code. Explain the algorithm with an example
- bDifferentiate between Bottom-up and Top-down parsing. What algorithms are used for each of these types of parsing?
- aDraw a tree structure for the following statement: Rachael Ray finds inspiration in cooking her family and her dog Write the Context Free Grammar (CFG) for the above statement
- bExplain Cocke-Kasami-Younge r (CKY) algorithm. Explain it with an example
- aExplain about Word Sense Dis ambiguation and Distributional semantics. Also explain about the path length problem in with an example
- bDefine the issues in Informa tion Content-BasedSimilarity Me asures with example. Elaborate on the approachused in similarity measure
- aDefine Articulatory Phoneti cs. Also explain production and classification of speech sounds in detail. Give examples
- bWrite regular expressions for the following languages.
(i) the set of all alphabetic strings; (ii) the set of all lower-case alphabetic strings ending in a b; (iii) the set of all strings from the alphabet a,b such that each a i s immediately preceded by and immediately followed by a b; Explain how these regular expressions will be used in speech processing
- aExplain different feature ex traction and patte rn comparison techniques used in speech analysis. Also elaborate on likelihood distortions, and spectral distortion, in detail
- bExplain hidden Markov model with Baum-Welch parameter re-es timation. Also elaborate on its implementation issues
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.
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