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Annamalai Natural Language Processing Sem-VIII-Elective
No Units Titles Sub Titles Chapters
1 Unit 1 Introduction Speech and Language Processing - Ambiguity - Models and algorithms - Language - Thought - Understanding - Brief history - Regular Expressions - Automata - Morphology and Finite State Transducers - Computational Phonology and Text-to-Speech VIEW CHAPTERS
2 Unit 2 Probabilistic Models and Speech Recognition Spelling - Bayesian method - Weighted Automata - N-grams - Smoothing - Entropy - HMMs and Speech Recognition - Speech Recognition Architecture - Hidden Markov models - Decoding - Acoustic processing - Speech recognizer - Speech synthesis VIEW CHAPTERS
3 Unit 3 Syntax Word classes and Part-of-Speech Tagging - Tagsets - Transformation based tagging - Context free rules and trees - The noun phrase - Co-ordination - Verb phrase - Finite state and context free grammars - Parsing with context free grammars VIEW CHAPTERS
4 Unit 4 Unification and Probalistic Parsing Features - Implementing unification - Unification constraints - Probabilistic context free grammars - Problems - Lexicalized context free grammars - Dependency grammars - Human parsing - Language and Complexity VIEW CHAPTERS
5 Unit 5 Semantics Representing meaning - First order predicate calculus - Semantic analysis - Attachments - Idioms - Compositionality - Robust semantic analysis - Lexical semantics - Selectional restrictions - Machine learning approaches - Dictionary based approaches - Information retrieval VIEW CHAPTERS
 
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