Lecture 1 - Introduction
Lecture 2 - Stages of NLP
Lecture 3 - Stages of NLP Continue...
Lecture 4 - Two approaches to NLP
Lecture 5 - Sequence Labelling and Noisy Channel
Lecture 6 - Noisy Channel: Argmax Based Computation
Lecture 7 - Argmax Based Computation
Lecture 8 - Noisy Channel Application to NLP
Lecture 9 - Brief on Probabilistic Parsing & Start of Part of Speech Tagging
Lecture 10 - Part of Speech Tagging
Lecture 11 - Part of Speech Tagging counted ...
Lecture 12 - Part of Speech Tagging counted ... and Indian Language in Focus; Morphology Analysis
Lecture 13 - PoS Tagging contd... , Indian Language Consideration; Accuracy Measure
Lecture 14 - PoS Tagging; Fundamental Principle; Why Challenging; accuracy
Lecture 15 - PoS Tagging; Accuracy Measurement; Word categories
Lecture 16 - AI and Probability; HMM
Lecture 17 - HMM
Lecture 18 - HMM, Viterbi, Forward Backward Algorithm
Lecture 19 - HMM, Viterbi, Forward Backward Algorithm (Continued...)
Lecture 20 - HMM, Forward Backward Algorithms, Baum Welch Algorithm
Lecture 21 - HMM, Forward Backward Algorithms, Baum Welch Algorithm (Continued...)
Lecture 22 - Natural Language Processing and Informational Retrieval
Lecture 23 - CLIA; IR Basics
Lecture 24 - IR Models: Boolean Vector
Lecture 25 - IR Models: NLP and IR Relationship
Lecture 26 - NLP and IR: How NLP has used IR, Toward Latent Semantic
Lecture 27 - Least Square Method; Recap of PCA; Towards Latent Semantic Indexing (LSI)
Lecture 28 - PCA; SVD; Towards Latent Semantic Indexing (LSI)
Lecture 29 - Wordnet and Word Sense Disambiguation
Lecture 30 - Wordnet and Word Sense Disambiguation (Continued...)
Lecture 31 - Wordnet; Metonymy and Word Sense Disambiguation
Lecture 32 - Word Sense Disambiguation
Lecture 33 - Word Sense Disambiguation; Overlap Based Method; Supervised Method
Lecture 34 - Word Sense Disambiguation: Supervised and Unsupervised methods
Lecture 35 - Word Sense Disambiguation: Semi - Supervised and Unsupervised method; resource - constrained WSD
Lecture 36 - Resource Constrained WSD; Parsing
Lecture 37 - Parsing
Lecture 38 - Parsing Algorithm
Lecture 39 - Parsing Ambiguous Sentences; Probabilistic Parsing
Lecture 40 - Probabilistic Parsing Algorithms
