| Mod-01 Lec-01 Introduction |
Computer science |
53 min |
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| Mod-01 Lec-02 Stages of NLP |
Computer science |
53 min |
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| Mod-01 Lec-03 Stages of NLP Continue... |
Computer science |
58 min |
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| Mod-01 Lec-04 Two approaches to NLP |
Computer science |
50 min |
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| Mod-01 Lec-05 Sequence Labelling and Noisy Channel |
Computer science |
49 min |
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| Mod-01 Lec-06 Noisy Channel: Argmax Based Computation |
Computer science |
49 min |
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| Mod-01 Lec-07 Argmax Based Computation |
Computer science |
47 min |
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| Mod-01 Lec-08 Noisy Channel Application to NLP |
Computer science |
51 min |
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| Mod-01 Lec-09 Brief on Probabilistic Parsing & Start of Part of Speech Tagging |
Computer science |
48 min |
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| Mod-01 Lec-10 Part of Speech Tagging |
Computer science |
48 min |
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| Mod-01 Lec-11 Part of Speech Tagging counted... |
Computer science |
47 min |
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| Mod-01 Lec-12 Part of Speech Tagging counted... & Indian Language in Focus; Morphology Ana |
Computer science |
45 min |
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| Mod-01 Lec-13 PoS Tagging contd... , Indian Language Consideration; Accuracy Measure |
Computer science |
45 min |
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| Mod-01 Lec-14 PoS Tagging; Fundamental Principle; Why Challenging; accuracy |
Computer science |
45 min |
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| Mod-01 Lec-15 PoS Tagging; Accuracy Measurement; Word categories |
Computer science |
48 min |
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| Mod-01 Lec-16 AI and Probability; HMM |
Computer science |
48 min |
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| Mod-01 Lec-17 HMM |
Computer science |
46 min |
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| Mod-01 Lec-18 HMM, Viterbi, Forward Backward Algorithm |
Computer science |
45 min |
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| Mod-01 Lec-19 HMM, Viterbi, Forward Backward Algorithm Contd..9 |
Computer science |
44 min |
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| Mod-01 Lec-20 HMM, Forward Backward Algorithms, Baum Welch Algorithm |
Computer science |
42 min |
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| Mod-01 Lec-21 HMM, Forward Backward Algorithms, Baum Welch Algorithm Contd... |
Computer science |
48 min |
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| Mod-01 Lec-22 Natural Language Processing and Informational Retrieval |
Computer science |
47 min |
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| Mod-01 Lec-23 CLIA; IR Basics |
Computer science |
49 min |
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| Mod-01 Lec-24 IR Models: Boolean Vector |
Computer science |
48 min |
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| Mod-01 Lec-25 IR Models: NLP and IR Relationship |
Computer science |
46 min |
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| Mod-01 Lec-26 NLP and IR: How NLP has used IR, Toward Latent Semantic |
Computer science |
48 min |
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| Mod-01 Lec-27 Least Square Method; Recap of PCA; Towards Latent Semantic Indexing(LSI) |
Computer science |
42 min |
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| Mod-01 Lec-28 PCA; SVD; Towards Latent Semantic Indexing(LSI) |
Computer science |
39 min |
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| Mod-01 Lec-29 Wordnet and Word Sense Disambiguation |
Computer science |
47 min |
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| Mod-01 Lec-30 Wordnet and Word Sense Disambiguation(contd...) |
Computer science |
47 min |
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| Mod-01 Lec-31 Wordnet; Metonymy and Word Sense Disambiguation |
Computer science |
49 min |
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| Mod-01 Lec-32 Word Sense Disambiguation |
Computer science |
49 min |
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| Mod-01 Lec-33 Word Sense Disambiguation; Overlap Based Method; Supervised Method |
Computer science |
50 min |
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| Mod-01 Lec-34 Word Sense Disambiguation: Supervised and Unsupervised methods |
Computer science |
43 min |
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| Mod-01 Lec-35 Word Sense Disambiguation: Semi - Supervised and Unsupervised method |
Computer science |
47 min |
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| Mod-01 Lec-36 Resource Constrained WSD; Parsing |
Computer science |
48 min |
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| Mod-01 Lec-37 Parsing |
Computer science |
46 min |
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| Mod-01 Lec-38 Parsing Algorithm |
Computer science |
48 min |
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| Mod-01 Lec-39 Parsing Ambiguous Sentences; Probabilistic Parsing |
Computer science |
50 min |
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| Mod-01 Lec-40 Probabilistic Parsing Algorithms |
Computer science |
48 min |
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