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Third Year EngineeringAI & Data ScienceSemester 63 credits

Natural Language Processing (NLP)SPPU question papers (PYQ), solutions and notes

Text processing, sentiment analysis, word embeddings, and transformers.

19

resources for this subject

Subject code 317528

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Natural Language Processing (NLP, subject code 317528) is a semester 6 subject in Third Year Engineering, AI & Data Science, at Savitribai Phule Pune University (SPPU).

Here you’ll find 6 previous question papers (2023–2025), 1 solved paper, 8 unit notes, 1 important-questions set, the syllabus and 2 video lectures.

Every question of 6 papers (Mar 2023 to Nov 2025) is written out on the paper pages below, so you don’t need to open a PDF.

Insem papers are 30 marks (1 hour) and endsem papers are 70 marks (2½ hours). These are 2019-pattern papers.

Papers for every TE AI & Data Science Sem 6 subject

NLP previous year question papers

Pick a paper to read all its questions. No sign-in needed.

EndsemNov 2025May 2025May 2024May 2023
InsemMar 2024Mar 2023

Most repeated NLP questions

Asked in more than one SPPU paper, out of 6 we have.

  1. 3×asked

    Explain Combinatory Categorical Grammar. List and explain grammar rules for English.

    Nov 2025 ·May 2024 ·May 2023

  2. 3×asked

    Write short notes on : i) Named Entity Recognition ii) Question Answer System iii) Chatbot using Dialogflow

    May 2025 ·May 2024 ·May 2023

  3. 2×asked

    Discuss Information Extraction using Sequence Labelling in detail.

    May 2024 ·May 2023

  4. 2×asked

    Elaborate Information retrieval-Vector space Model in detail.

    May 2024 ·May 2023

  5. 2×asked

    Explain Machine Translation (MT) approaches with suitable example. Describe Direct Machine Translation in detail.

    May 2024 ·May 2023

See all 11 repeated questions

Natural Language Processing papers and notes

Playlist

Natural Language Processing & Advanced AI - Gate Smashers

YouTube playlist

TEAIDSFull course
Playlist

Natural Language Processing (NLP) Full Course - 5 Minutes Engineering

YouTube playlist

TEAIDSFull course

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