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Course Overview
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Index
- Introduction to NLP [Natural Language Processing] (Module 1)
- Knowledge Required in NLP (Module 1)
- Ambiguity in NLP (Module 1)
- NLP Phases (Module 1)
- Morphology Analysis (Module 2)
- Regular Expression (Module 2)
- FSA (Module 2)
- Morphology Parsing (Module 2)
- Language Model (Module 2)
- N-gram Model (Module 2)
- Syntax Analysis (Module 3)
- POS Tagging (Module 3)
- Tag-set for English (Module 3)
- Rule Based POS (Module 3)
- Stochastic Part of Speech Tagging (Module 3)
- Transformation Based Tagging (Module 3)
- Multiple Tags ,Word and Unknown Words (Module 3)
- Basic Concept of Grammar and Parse Tree (Module 3)
- Parsing in NLP (Module 3)
- Hidden Markov Model Part 1 (Module 3)
- Hidden Markov Model Part 2 (Module 3)
- Viterbi Algorithm (Module 3)
- Introduction to Semantic Analysis (Module 4)
- Element of Semantic Analysis ( Module 4)
- Attachment for Fragment of English (Phrases #1) (Module 4)
- Attachment for Fragment of English (Phrases #2) (Module 4)
- Attachment for Fragment of English (Phrases #3) (Module 4)
- WordNet (Module 4)
- Word Sense Disambiguation (WSD)(Module 4)
- Pragmatics
- Discourse Processing
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Notes + MCQs + Viva Questions
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FSA (Module 2)