AL-504 (B) RGPV B.Tech
Natural Language Processing (NLP)
Previous year papers and the official syllabus are free to read, no account needed.
Previous Year Papers
5 papers, latest Dec 2025
- AL-504 (B) paper, Dec 2025
- AL-504 (B) paper, Jun 2025
- AL-504 (B) paper, Dec 2024
- AL-504 (B) paper, Nov 2023
- AL-504 (B) paper, Nov 2022
Syllabus, notes and important questions for AL-504 (B)
Syllabus units
Topics as the official RGPV syllabus lists them.
Unit 1 Introduction 8 topics
- Origins and challenges of NLP
- Language Modeling: Grammar‑based LM, Statistical LM
- Regular Expressions and Finite‑State Automata
- English Morphology
- Transducers for lexicon and rules
- Tokenization
- Detecting and correcting spelling errors
- Minimum edit distance
Unit 2 Word Level Analysis 8 topics
- Unsmoothed N‑grams
- Evaluating N‑grams
- Smoothing, interpolation and backoff
- Word classes
- Part‑of‑speech tagging (rule‑based, stochastic, transformation‑based)
- Issues in PoS tagging
- Hidden Markov and maximum‑entropy models
- Viterbi algorithm and EM training
Unit 3 Syntactic Analysis 14 topics
- Context‑Free Grammars
- Grammar rules for English
- Treebanks
- Normal forms for grammar
- Dependency Grammar
- Syntactic parsing
- Ambiguity handling
- Dynamic‑programming parsing
- Shallow parsing
- Probabilistic CFG
- Probabilistic CYK algorithm
- Probabilistic lexicalized CFGs
- Feature structures
- Unification of feature structures
Unit 4 Semantics and Pragmatics 10 topics
- Requirements for representation
- First‑order logic
- Description logics
- Syntax‑driven semantic analysis
- Semantic attachments
- Word senses and relations between senses
- Thematic roles and selectional restrictions
- Word‑sense disambiguation (supervised, dictionary & thesaurus, bootstrapping methods)
- Word similarity using thesaurus and distributional methods
- Compositional semantics
Unit 5 Application of NLP 6 topics
- Intelligent work processors: machine translation
- User interfaces and man‑machine interfaces
- Natural language querying
- Tutoring and authoring systems
- Speech recognition
- Commercial use of NLP
Exam insights
Counted from 5 past AL-504 (B) papers.
Marks asked per paper, by unit
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Unit 1 Introduction 22 marks
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Unit 2 Word Level Analysis 20 marks
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Unit 3 Syntactic Analysis 24 marks
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Unit 4 Semantics and Pragmatics 21 marks
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Unit 5 Application of NLP 18 marks
Average marks of the questions from each unit in one paper. You answer only some of them, so the total is more than the paper’s maximum.
Asked again and again
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Explain major commercial and real-world applications of NLP and how they improve user experience and interaction
Asked 3 times: 2025, 2023, 2022
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Explain tokenization, stemming and lemmatization, compare stemming vs lemmatization, and their importance in morphological analysis for NLP.
Asked 2 times: 2025, 2024
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Compare common types of smoothing techniques used in NLP and how they differ.
Asked 2 times: 2025, 2024