NPTEL · IIT Kharagpur
Deep Learning for Natural Language Processing
Neural approaches to NLP — from word representations to sequence models, transformers and large language models.
NPTEL · IIT Kharagpur
Natural Language Processing
Foundations of NLP — text processing, language modelling, POS tagging, parsing, semantics and core applications.
This semester
2026-2027 Autumn Semester
Archive
All courses
26 earlier semesters at IIT Kharagpur.
2025-2026 Spring Semester 2 courses
- CS60010Deep Learning Course website
- CS60216Safety Fundamentals for Generative AI Course website
2025-2026 Autumn Semester 2 courses
- CS21201Discrete Structures Course website
- CS60005Foundations of Computing Science Course website
2024-2025 Spring Semester 2 courses
- CS60010Deep Learning Course website
- CS60216Safety Fundamentals for Generative AI
2024-2025 Autumn Semester 2 courses
- CS21201Discrete Structures Course website
- CS19003Programming and Data Structures Lab
2023-2024 Spring Semester 2 courses
- CS60010Deep Learning Course website
- CS60078Complex Networks Course website
2023-2024 Autumn Semester 2 courses
- CS21201Discrete Structures Course website
- CS19003Programming and Data Structures Lab
2022-2023 Spring Semester 2 courses
- CS60075Natural Language Processing Course website
- CS19003Programming and Data Structures Lab
2022-2023 Autumn Semester 2 courses
- CS10003Programming and Data Structures
- CS19003Programming and Data Structures Lab
2021-2022 Spring Semester 2 courses
- CS60075Natural Language Processing Course website
- CS69012Computing Lab II
2021-2022 Autumn Semester 2 courses
- CS21003Algorithms-1 Course website
- CS29003Algorithms Laboratory Course website
2020-2021 Spring Semester 2 courses
- CS60075Natural Language Processing Course website
- CS69012Computing Lab II
2020-2021 Autumn Semester 2 courses
- CS21003Algorithms-1 Course website
- CS29003Algorithms Laboratory Course website
2019-2020 Spring Semester 2 courses
- CS60092Information Retrieval Course website
- CS29003PDS Laboratory Course website
2019-2020 Autumn Semester 2 courses
- CS21003Algorithms-1 Course website
- CS29003Algorithms Laboratory Course website
2018-2019 Spring Semester 3 courses
- CS21004Formal Languages and Automata Theory Course website
- CS19002PDS Lab Course website
- AI61002Deep Learning Foundations and Applications Course website
2018-2019 Autumn Semester 2 courses
- CS21003Algorithms-1 Course website
- CS29003Algorithms Laboratory Course website
2017-2018 Spring Semester 2 courses
- CS60092Information Retrieval Course website
- CS10001Programming and Data Structures Theory Course website
2017-2018 Autumn Semester 2 courses
- CS21003Algorithms-1 Course website
- CS29003Algorithms Laboratory Course website
2016-2017 Spring Semester 2 courses
- CS60010Deep Learning Course website
- CS60092Information Retrieval Course website
2016-2017 Autumn Semester 2 courses
- CS60057Speech and Natural Language Processing Course website
- CS60017Social Computing Course website
2015-2016 Spring Semester 2 courses
- CS21004Formal Languages and Automata Theory Course website
- CS60092Information Retrieval Course website
2015-2016 Autumn Semester 2 courses
- CS60057Speech and Natural Language Processing Course website
- CS60017Social Computing Course website
2014-2015 Spring Semester 2 courses
- CS21004Formal Languages and Automata Theory Course website
- CS19002PDS Lab Course website
2014-2015 Autumn Semester 2 courses
- CS60057Speech and Natural Language Processing Course website
- CS60017Social Computing Course website
2013-2014 Spring Semester 2 courses
- CS21004Formal Languages and Automata Theory Course website
- CS19002PDS Lab Course website
2013-2014 Autumn Semester 3 courses
Taught certain topics in the following courses:
- CS60057 SPEECH AND NATURAL LANGUAGE PROCESSING (Main Instructor: Prof. Sudeshna Sarkar) Topics covered:
- Distributional Semantics (1 Lecture)
- Dependency Parsing (2 Lectures)
- Lexical Semantics (1 Lecture)
- Word Sense Disambiguation (1 Lecture)
- Relation Extraction (2 Lectures)
- Event Extraction (1 Lecture)
- CS21001 DISCRETE STRUCTURES (Main Instructor: Prof. Animesh Mukherjee) Topics covered:
- Functions (2 Lectures)
- Proof Techniques (2 Lectures)
- CS60080 INFORMATION RETRIEVAL (Main Instructor: Prof. Niloy Ganguly) Topics covered:
- Matrix Decompositions and Latent Semantic Indexing (2 Lectures)
- Link Analysis (3 Lectures)
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