Course Name: 

Natural Language Processing and Applications





Credits (L-T-P): 



Introduction to NLP, History and Applications; Language Modelling: Grammar based Language Models, Statistical Language Models; Mathematical Foundations of NLP and Information Theory; Word Level Analysis and Collocation, n-grams; Syntactic Analysis: CFGs, Parsing, Treebanks, Semantics: Representing Meaning, Lexical Similarity, Lexemes, WordNets; Semantic Analysis: Word Sense Disambiguation; Sentiment Analysis and opinion mining, Generating and developing sentiment lexicons, learning lexicons, machine learning based techniques, case studies, Text Mining and Document Categorization Techniques; Machine Translation, NL Applications.


Christopher D. Manning and Hinrich Schütze, "Foundations of Statistical Natural Language Processing" MIT Press, 1999 Daniel Jurafsky and James H. Martin. "Speech and Language Processing: An Introduction to Natural Language Processing", Prentice Hall 2000. Tanveer Siddiqui and U.S Tiwary, "Natural Language Processing and Information Retrieval", Oxford Press, 2008 James Allen, "Natural Language Understanding". Benjamin/Cummings, 2ed, 1995 Steven Bird. "Natural Language Processing with Python". O'Reilly, 2009


Information Technology

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G. Ram Mohana Reddy

Professor and Head,
Department of Information Technology, NITK, Surathkal,
P. O. Srinivasnagar, Mangalore - 575 025
Karnataka, India.
Ph.:    +91-824-2474056
Email:  infotech[AT]nitk[DOT]ac[DOT]in

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