Q.1
14 Marks(b)
Describe advantages and disadvantages of Natural Language Processing.
(c)
Elaborate various phases in Natural Language Processing.
Also asked in Summer 2026 Q1c, Summer 2025 Q1c
Gujarat Technological UniversityWinter 2025 examination
GTU 3170723 Natural Language Processing (NLP) Winter 2025 Question Paper & PDF
B.E. · Computer Engineering · Semester 7 · Subject code 3170723
- Total
- 70 marks
- To pass
- 23 marks (33%)
- Duration
- 2.5 Hours 10:30 AM – 1:00 PM
- Questions
- 5 with internal choice
No solutions on this paper yetNeed them for your exam? Ask once. Papers that students ask for are solved first, and we aim to add them within 24 hours.
Noted. This paper is in our queue now. Check back tomorrow.
We could not record that here. Email the paper name to hirenjsca@gmail.com and we will add it.
19 of 25 questions on this paper were also asked in other years. 1 more is a type of question GTU sets again with new data. Each is marked below with the years it appeared.See all 21 repeated 3170723 questions, most asked first
Q.2
14 Marks(b)
Describe Part-of-Speech Tagging with suitable example.
Also asked in Summer 2026 Q2b, Summer 2025 Q2b
OR
(c)
Explain Unigram, Bi-gram and Tri-gram concepts using an example sentence: “Life is either a daring adventure or nothing at all”.
Also asked in Summer 2026 Q2c, Summer 2026 Q2c OR, Summer 2025 Q3b
Q.3
14 Marks(c)
Describe nearest neighbor algorithm for Word Sense Disambiguation.
OR
(a)
Explain perplexity with suitable example.
(b)
Describe Embedding representations for words Lexical Semantics with example.
Also asked in Summer 2025 Q3a OR
Q.4
14 Marks(a)
What is sentiment mining? Provide a brief explanation.
Also asked in Summer 2026 Q4a, Summer 2025 Q4c
(c)
Explain the concept of Cross-Lingual Information Retrieval in detail.
Also asked in Summer 2026 Q4b, Summer 2025 Q4c OR
OR
(b)
State different algorithms used for relation extraction.
Also asked in Summer 2026 Q4c OR, Summer 2025 Q4a
Q.5
14 Marks(b)
Explain neural machine translation with suitable example.
Also asked in Summer 2026 Q5b OR, Summer 2025 Q5c
(c)
How is parameter learning conducted in Statistical Machine Translation (SMT)? Illustrate with an appropriate example.
Also asked in Summer 2025 Q5c OR
OR
(a)
Explain translation divergence in brief.
(b)
Describe Rule Based Machine Translation System.
(c)
Explain Encoder-decoder Model of Machine Translation with architecture.
Also asked in Summer 2026 Q5b
More Natural Language Processing papers
Questions repeat across sessions. Working through two or three papers shows you which topics GTU asks most.
Other Semester 7 subjects
BE Computer
Preparing with friends?
Send this paper to your class group. Every question has its own link.
About this paper
Official Gujarat Technological University (GTU) examination paper for Natural Language Processing (NLP) (Winter 2025, B.E. · Computer Engineering, Sem 7). Features complete 70-mark regular & remedial examination pattern, official marking distribution across all 5 questions, and direct 1-click official PDF download.
Transcribed for student exam preparation from Gujarat Technological University official examination archives. Questions, syllabus guidelines, and curriculum marking schemes remain the intellectual property of Gujarat Technological University.