College Information

Subject Detail

Sno Back regulation branch year semester subject_code name credits category
1 Back R23AIML ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML) 3 1 23A31501 NATURAL LANGUAGE PROCESSING 3.0 Theory




Syllabus List


Sno subject description note syllabus_file
1 NATURAL LANGUAGE PROCESSING - 23A31501 (Theory) 23A31501

23A31501

Link



Book List


Sno subject title author publisher edition book_type IMG book_file note
1 NATURAL LANGUAGE PROCESSING - 23A31501 (Theory) Daniel Jurafsky & James H. Martin – Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition, Pearson Education, 2023. Daniel Jurafsky & James H. Martin Pearson Education 2026 Textbook Link note
2 NATURAL LANGUAGE PROCESSING - 23A31501 (Theory) Akshay Kulkarni & Adarsha Shivananda – Natural Language Processing Recipes - Unlocking Text Data with Machine Learning and Deep Learning using Python, Apress, 2019. Akshay Kulkarni & Adarsha Shivananda Apress, 2019 Reference Link note
3 NATURAL LANGUAGE PROCESSING - 23A31501 (Theory) Natural Language Processing for Online Applications Text Retrieval,Extraction and Categorization Peter Jackson , Isabelle Moulinier None None Reference Link

True

4 NATURAL LANGUAGE PROCESSING - 23A31501 (Theory) Foundaions of Statistical Naural Language Processing Christopher D. Manning MIT press none Reference Link

True

5 NATURAL LANGUAGE PROCESSING - 23A31501 (Theory) nlp ppt none none none Reference Link

True




OnlineReference List


Sno subject title note




Question Paper List


Sno Subject Question Paper Type Date Title File







Lab List


Sno subject date title