Q.1
14 Marks(c)
Provide a detailed explanation of the various phases in Natural Language Processing.
Also asked in Winter 2025 Q1c, Summer 2025 Q1c
Gujarat Technological UniversitySummer 2026 examination
GTU 3170723 Natural Language Processing (NLP) Summer 2026 Question Paper & PDF
B.E. · Computer Engineering · Semester 7 · Subject code 3170723
- Total
- 70 marks
- To pass
- 23 marks (33%)
- Duration
- 2.5 Hours 2:30 PM – 5:00 PM
- Questions
- 5 with internal choice
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14 of 25 questions on this paper were also asked in other years. 2 more are types 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)
Explain Parts of Speech Tagging and its importance.
Also asked in Winter 2025 Q2b, Summer 2025 Q2b
(c)
Explain Bi-gram concepts using an example sentence:
“The purpose of our life is to happy”.
Also asked in Winter 2025 Q2c OR, Summer 2025 Q3b
OR
(c)
Explain Unigram, Bi-gram and Tri-gram concepts using an example sentence: “This is a Big Data AI Book”.
Also asked in Winter 2025 Q2c OR, Summer 2025 Q3b
Q.3
14 Marks(b)
Explain Chunking in NLP.
OR
(a)
Draw the Dependency tree for a sentence A big black dog runs after a poor cat
(b)
What is Morphology? Explain the approaches to Morphology.
(c)
Enlist Word Sense Disambiguation approaches. Explain any one of them in detail.
Also asked in Summer 2025 Q3b OR
Q.4
14 Marks(b)
Analyze any application of NLP using the concept of Cross-Lingual IR.
Also asked in Winter 2025 Q4c, Summer 2025 Q4c OR
OR
(a)
Explain Precision and Recall in brief.
(b)
What is Information Extraction? How Does Information Extraction Work?
(c)
Write a detailed note on Relation Extraction via Supervised Learning.
Also asked in Winter 2025 Q4b OR, Summer 2025 Q4a
Q.5
14 Marks(a)
Describe Knowledge Based Machine Translation System.
(c)
What are the different approaches to machine translation? Explain in details with its pros and cons.
OR
(a)
Explain the dimensions used to evaluate Machine Translation.
(c)
Explain the concept of SMT and NMT in detail. Also state the differences between them with example.
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
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About this paper
Official Gujarat Technological University (GTU) examination paper for Natural Language Processing (NLP) (Summer 2026, 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.