Natural Language Processing 
              
              
              
             Course Code        : 14-CS-533   
             Course Title       : Natural Language Processing 
             L-T-P              : 3-0-0  
             Credits            : 3    
             Prerequisite       : 
              
             Syllabus: 
             Mathematical  Foundations,  Linguistic  Essentials,  Corpus-Based  Work.  Words:  Collocations, 
             Statistical Inference:  n-gram Models over Sparse Data, Word Sense Disambiguation, Lexical 
             Acquisition. Grammar: Markov Models, Part-of-Speech Tagging, Probabilistic Context Free 
             Grammars,  probabilistic  parsing.  Applications  and  Techniques:  Statistical  Alignment  and 
             Machine  Translation,  Clustering,  Topics  in  Information  Retrieval,  Text  Categorization.  A 
             Comprehensive  Mathematical  Framework  for  the  Development  of  Semantic  Technologies, 
             Formal Methods and Algorithms for the Design of Semantics-Oriented Linguistic Processors. 
             Structural  Discovery  in  Natural  Language  Processing:  Graph  Models,  Small  words  of 
             Natural Language, Graph Clustering, Unsupervised Language Separation. Unsupervised Part-of-
             Speech Tagging, Word sense Induction and Disambiguation, Graph Based Natural Language 
             Processing. 
                    
             Text Books: 
          1.  Christopher  D  Manning,  Hinrich  Schutze,  ―Foundations  of  Statistical  Natural  Language 
             Processing‖, MIT Press, 2003.  
          2.  Semantics-Oriented  Natural  Language  Processing  by  Vladimir  A.  Fomichov,  Springer 
             publications 
             References: 
          1.  Structure Discovery in Natural Language by Chris Biemann, Springer publications 
     2.  Graph-based  Natural  Language  Processing  and  Information  Retrieval  by  Rada  Mihalcea, 
       Dragomir Radev, Cambridge Publications 
     3.  Lucja  M  Iwanska,  Stuart  C  Shapiro,  ―Natural  Language  Processing  And  Knowledge 
       Representation: Language For Knowledge And Knowledge For Language‖, AAAI Press, 2000.  
     4.  Anne Kao, Stephen R Poteet, ―Natural Language Processing and Text Mining‖, Springer, 2010.  
     5.  Daniel Jurafsky, James H Martin, ―Speech and Language Procesing‖, Pearson, 2000  
     6.  James Allen, ―Natural Language Understanding‖, 2nd Edition, Pearson, 2008.