Computer - Natural Language Processing (English)

   Tuesday, March 18, 2025   

Starting a new Lecture Notes Series on Computer - Natural Language Processing

Youtube Lecture Playlist Credits 

Channel Name: nptelhrd

So Let Us Start to This Journey of Learning 

Computer - Natural Language Processing By Lecture Notes together!

Lecture 1: Mod-01 Lec-01 Introduction

Lecture 2: Mod-01 Lec-02 Stages of NLP

Lecture 3: Mod-01 Lec-03 Stages of NLP Continue...

Lecture 4: Mod-01 Lec-04 Two approaches to NLP

Lecture 5: Mod-01 Lec-05 Sequence Labelling and Noisy Channel

Lecture 6: Mod-01 Lec-06 Noisy Channel: Argmax Based Computation

Lecture 7: Mod-01 Lec-07 Argmax Based Computation

Lecture 8: Mod-01 Lec-08 Noisy Channel Application to NLP

Lecture 9: Mod-01 Lec-09 Brief on Probabilistic Parsing & Start of Part of Speech Tagging

Lecture 10: Mod-01 Lec-10 Part of Speech Tagging

Lecture 11: Mod-01 Lec-11 Part of Speech Tagging counted...

Lecture 12: Mod-01 Lec-12 Part of Speech Tagging counted... & Indian Language in Focus; Morphology Analysis

Lecture 13: Mod-01 Lec-13 PoS Tagging contd... , Indian Language Consideration; Accuracy Measure

Lecture 14: Mod-01 Lec-14 PoS Tagging; Fundamental Principle; Why Challenging; accuracy

Lecture 15: Mod-01 Lec-15 PoS Tagging; Accuracy Measurement; Word categories

Lecture 16: Mod-01 Lec-16 AI and Probability; HMM

Lecture 17: Mod-01 Lec-17 HMM

Lecture 18: Mod-01 Lec-18 HMM, Viterbi, Forward Backward Algorithm

Lecture 19: Mod-01 Lec-19 HMM, Viterbi, Forward Backward Algorithm Contd..9

Lecture 20: Mod-01 Lec-20 HMM, Forward Backward Algorithms, Baum Welch Algorithm

Lecture 21: Mod-01 Lec-21 HMM, Forward Backward Algorithms, Baum Welch Algorithm Contd...

Lecture 22: Mod-01 Lec-22 Natural Language Processing and Informational Retrieval

Lecture 23: Mod-01 Lec-23 CLIA; IR Basics

Lecture 24: Mod-01 Lec-24 IR Models: Boolean Vector

Lecture 25: Mod-01 Lec-25 IR Models: NLP and IR Relationship

Lecture 26: Mod-01 Lec-26 NLP and IR: How NLP has used IR, Toward Latent Semantic

Lecture 27: Mod-01 Lec-27 Least Square Method; Recap of PCA; Towards Latent Semantic Indexing(LSI)

Lecture 28: Mod-01 Lec-28 PCA; SVD; Towards Latent Semantic Indexing(LSI)

Lecture 29: Mod-01 Lec-29 Wordnet and Word Sense Disambiguation

Lecture 30: Mod-01 Lec-30 Wordnet and Word Sense Disambiguation(contd...)

Lecture 31: Mod-01 Lec-31 Wordnet; Metonymy and Word Sense Disambiguation

Lecture 32: Mod-01 Lec-32 Word Sense Disambiguation

Lecture 33: Mod-01 Lec-33 Word Sense Disambiguation; Overlap Based Method; Supervised Method

Lecture 34: Mod-01 Lec-34 Word Sense Disambiguation: Supervised and Unsupervised methods

Lecture 35: Mod-01 Lec-35 Word Sense Disambiguation: Semi - Supervised and Unsupervised method

Lecture 36: Mod-01 Lec-36 Resource Constrained WSD; Parsing

Lecture 37: Mod-01 Lec-37 Parsing

Lecture 38: Mod-01 Lec-38 Parsing Algorithm

Lecture 39: Mod-01 Lec-39 Parsing Ambiguous Sentences; Probabilistic Parsing

Lecture 40: Mod-01 Lec-40 Probabilistic Parsing Algorithms