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Speech Natural language processing
Other university all, Computer Engineering , Speech Natural language processing Syllabus
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Unit - 1 Introduction and Word Level Analysis
1.1 Origins and Challenges of NLP
1.2 Language Modelling Grammarbased LM Statistical LM
1.3 Regular Expressions
1.4 Finite State Automata
1.5 English Morphology
1.6 Transducers for Lexicon and Rules
1.7 Tokenization
1.8 Detecting and Correcting Spelling Errors
1.9 Minimum Edit Distance
1.10 NGram Models
1.11 Evaluating NGrams
1.12 Smoothing
1.13 Interpolation and Back off – Word Classes PartofSpeech Tagging Rulebased Stochastic and Transformationbased Tagging
1.14 Issues in PoS Tagging – Hidden Markov and Maximum Entropy Models
Unit - 2 Syntactic Analysis
2.1 ContextFree Grammars
2.2 Grammar Rules for English – Dependency Grammar
2.3 Treebanks
2.4 Normal Forms in Contextfree Grammar
2.5 Syntactic Parsing
2.6 Ambiguity
2.7 Dynamic Programming Parsing
2.8 Shallow Parsing
2.9 Probabilistic Contextfree Grammar
2.10 Probabilistic CYK
2.11 Probabilistic Lexicalized CFG’s
2.12 Feature Structures
2.13 Unification of Feature Structures
Unit - 3 Semantics and Pragmatics
3.1 Requirements for Representation
3.2 First – Order Logic Description Logic
3.3 Word Sense Disambiguation
Unit - 4 Basic Concepts of Speech Processing
4.1 Speech Fundamentals
4.2 Articulatory Phonetics
4.3 Acoustic Phonetics
4.4 Short time Fourier series
4.5 Filter Banks
4.6 Linear Predictive Coding
Unit - 5 Speech Analysis
5.1 Features Extraction
5.2 Language Modelling Grammarbased LM Statistical LM
5.3 Dynamic Time Warping
5.4 Multiple Time – Alignment Path
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Other Subjects of level-4
Data mining
Data analytics
Image processing
Distributed systems
Mobile applications
Advanced database systems
Real-time operating system
Management information system (elective)
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