Words and Word Forms : Morphology fundamentals; Morphological Diversity of Indian Languages; Morphology Paradigms; Finite State Machine Based Morphology; Automatic Morphology Learning; Shallow Parsing; Named Entities; Maximum Entropy Models; Random Fields.
Structures : Theories of Parsing, Parsing Algorithms; Robust and Scalable Parsing on Noisy Text as in Web documents; Hybrid of Rule Based and Probabilistic Parsing; Scope Ambiguity and Attachment Ambiguity resolution.
Meaning : Lexical Knowledge Networks, Wordnet Theory; Indian Language Wordnets and Multilingual Dictionaries; Semantic Roles; Word Sense Disambiguation; WSD and Multilinguality; Metaphors; Coreferences.
Web 2.0 Applications : Sentiment Analysis; Text Entailment; Robust and Scalable Machine Translation; Question Answering in Multilingual Setting; Cross Lingual Information Retrieval (CLIR).
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Introduction
Preview 00:53:19
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Stages of NLP
00:52:55
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Stages of NLP 1
00:58:06
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Two approaches to NLP
00:49:30
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Sequence Labelling and Noisy Channel
00:48:31
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Noisy Channel Argmax Based Computation
00:49:12
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Argmax Based Computation
00:47:07
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Noisy Channel Application to NLP
00:50:33
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Brief on Probabilistic Parsing & Start of Part of Speech Tagging
00:48:20
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Part of Speech Tagging
00:48:26
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Part of Speech Tagging 1
00:47:22
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PoS& Indian Language in Focus; Morphology Analysis
00:45:05
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PoS Tagging 3 , Indian Language Consideration; Accuracy Measure
00:45:07
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PoS Tagging 4; Fundamental Principle; Why Challenging; accuracy
00:45:04
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PoS Tagging 5; Accuracy Measurement; Word categories
00:47:39
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AI and Probability; HMM
00:48:03
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HMM
00:45:59
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HMM, Viterbi, Forward Backward Algorithm I
00:44:59
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HMM, Viterbi, Forward Backward Algorithm II
00:44:28
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HMM, Forward Backward Algorithms, Baum Welch Algorithm III
00:41:41
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HMM, Forward Backward Algorithms, Baum Welch Algorithm IV
00:47:43
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Natural Language Processing and Informational Retrieval
00:46:47
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CLIA; IR Basics
00:49:25
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IR Models Boolean Vector
00:48:15
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IR Models NLP and IR Relationship I
00:46:25
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NLP and IR How NLP has used IR, Toward Latent Semantic
00:47:46
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Least Square Method; Recap of PCA; Latent Semantic Indexing(LSI)
00:41:50
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PCA; SVD; Towards Latent Semantic Indexing(LSI)
00:38:54
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Wordnet and Word Sense Disambiguation
00:46:39
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Wordnet and Word Sense Disambiguation I
00:47:23
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Wordnet; Metonymy and Word Sense Disambiguation II
00:49:16
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Word Sense Disambiguation
00:49:06
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Overlap Based Method; Supervised Method III
00:50:07
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Supervised and Unsupervised methods IV
00:43:10
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Semi - Supervised and Unsupervised method V
00:46:58
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Resource Constrained WSD; Parsing
00:48:21
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Parsing
00:46:29
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Parsing Algorithm
00:47:48
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Parsing Ambiguous Sentences; Probabilistic Parsing
00:49:48
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Probabilistic Parsing Algorithms
00:47:36
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