Natural Language Processing


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