Coursera nlp | F99E7184FCA947EE8F77901679E171FCADBF82E7

Coursera nlp

Name	coursera-nlp	DOWNLOAD Copy Link
Total Size	1.2 GB
Total Files	129
Last Seen	2024-11-15 23:35
Hash	F99E7184FCA947EE8F77901679E171FCADBF82E7

/assignments/assignment-1/
h1-p.4.pdf	152.4 KB
h1-p.zip	1.1 MB
/assignments/assignment-2/
h2-p.2.pdf	172.6 KB
h2.2.zip	143.2 KB
/assignments/assignment-3/
h3-p.pdf	155.6 KB
h3.zip	622.6 KB
/assignments/assignment-4/
h4-p.pdf	171.3 KB
h4.zip	1.3 MB
/lectures/week1-01/
Natural Language Processing 0.0 Introduction (Part 1) (1117).mp4	14.9 MB
Natural Language Processing 0.1 Introduction (Part 2) (1028).mp4	12.4 MB
/lectures/week1-02/
Natural Language Processing 1.0 Introduction to the Language Modeling Problem (Part 1) (617).mp4	7.9 MB
Natural Language Processing 1.1 Introduction to the Language Modeling Problem (Part 2) (712).mp4	8.7 MB
Natural Language Processing 1.2 Markov Processes (Part 1) (856).mp4	10.7 MB
Natural Language Processing 1.3 Markov Processes (Part 2) (628).mp4	7.7 MB
Natural Language Processing 1.4 Trigram Language Models (940).mp4	11.6 MB
Natural Language Processing 1.5 Evaluating Language Models Perplexity (1236).mp4	15.5 MB
/lectures/week1-03/
Natural Language Processing 2.0 Linear Interpolation (Part 1) (746).mp4	9.5 MB
Natural Language Processing 2.1 Linear Interpolation (Part 2) (1135).mp4	14.3 MB
Natural Language Processing 2.2 Discounting Methods (Part 1) (926).mp4	11.7 MB
Natural Language Processing 2.3 Discounting Methods (Part 2) (334).mp4	4.6 MB
/lectures/week1-04/
Natural Language Processing 3.0 Summary (231).mp4	3.2 MB
/lectures/week10-01/
Natural Language Processing 18.0 Introduction (102).mp4	1.2 MB
Natural Language Processing 18.1 Recap of GLMs (740).mp4	9.6 MB
Natural Language Processing 18.2 GLMs for Tagging (Part 1) (526).mp4	7.3 MB
Natural Language Processing 18.3 GLMs for Tagging (Part 2) (735).mp4	9.8 MB
Natural Language Processing 18.4 GLMs for Tagging (Part 3) (706).mp4	9.1 MB
Natural Language Processing 18.5 GLMs for Tagging (Part 4) (600).mp4	7.6 MB
/lectures/week10-02/
Natural Language Processing 19.0 Introduction (037).mp4	716.5 KB
Natural Language Processing 19.1 The Dependency Parsing Problem (Part 1) (521).mp4	6.7 MB
Natural Language Processing 19.2 The Dependency Parsing Problem (Part 2) (1353).mp4	18.0 MB
Natural Language Processing 19.3 GLMs for Dependency Parsing (Part 1) (1159).mp4	14.8 MB
Natural Language Processing 19.4 GLMs for Dependency Parsing (Part 2) (828).mp4	11.5 MB
Natural Language Processing 19.5 Experiments with GLMs for Dep. Parsing (538).mp4	7.3 MB
Natural Language Processing 19.6 Summary (250).mp4	3.5 MB
/lectures/week2-01/
Natural Language Processing 4.0 The Tagging Problem (1001).mp4	13.7 MB
Natural Language Processing 4.1 Generative Models for Supervised Learning (857).mp4	11.2 MB
Natural Language Processing 4.2 Hidden Markov Models (HMMs) Basic Definitions (1200).mp4	15.6 MB
Natural Language Processing 4.3 Parameter Estimation in HMMs (1316).mp4	17.1 MB
Natural Language Processing 4.4 The Viterbi Algorithm for HMMs (Part 1) (1407).mp4	17.8 MB
Natural Language Processing 4.5 The Viterbi Algorithm for HMMs (Part 2) (331).mp4	4.4 MB
Natural Language Processing 4.6 The Viterbi Algorithm for HMMs (Part 3) (733).mp4	9.7 MB
Natural Language Processing 4.7 Summary (150).mp4	2.3 MB
/lectures/week3-01/
Natural Language Processing 5.0 Introduction (028).mp4	1.0 MB
Natural Language Processing 5.1 Introduction to the Parsing Problem (Part 1) (1037).mp4	13.3 MB
Natural Language Processing 5.2 Introduction to the Parsing Problem (Part 2) (420).mp4	5.4 MB
Natural Language Processing 5.3 Context-Free Grammars (Part 1) (1211).mp4	15.2 MB
Natural Language Processing 5.4 Context-Free Grammars (Part 2) (222).mp4	2.9 MB
Natural Language Processing 5.5 A Simple Grammar for English (Part 1) (1032).mp4	13.2 MB
Natural Language Processing 5.6 A Simple Grammar for English (Part 2) (530).mp4	6.7 MB
Natural Language Processing 5.7 A Simple Grammar for English (Part 3) (1121).mp4	14.6 MB
Natural Language Processing 5.8 A Simple Grammar for English (Part 4) (220).mp4	3.0 MB
Natural Language Processing 5.9 Examples of Ambiguity (556).mp4	7.0 MB
/lectures/week3-02/
Natural Language Processing 6.0 Introduction (112).mp4	1.4 MB
Natural Language Processing 6.1 Basics of PCFGs (Part 1) (943).mp4	12.2 MB
Natural Language Processing 6.2 Basics of PCFGs (Part 2) (826).mp4	11.3 MB
Natural Language Processing 6.3 The CKY Parsing Algorithm (Part 1) (731).mp4	9.8 MB
Natural Language Processing 6.4 The CKY Parsing Algorithm (Part 2) (1322).mp4	17.4 MB
Natural Language Processing 6.5 The CKY Parsing Algorithm (Part 3) (1007).mp4	13.0 MB
/lectures/week4-01/
Natural Language Processing 7.0 Weaknesses of PCFGs (1459).mp4	18.8 MB
/lectures/week4-02/
Natural Language Processing 8.0 Introduction (0017).mp4	338.3 KB
Natural Language Processing 8.1 Lexicalization of a Treebank (1044).mp4	13.5 MB
Natural Language Processing 8.2 Lexicalized PCFGs Basic Definitions (1240).mp4	16.7 MB
Natural Language Processing 8.3 Parameter Estimation in Lexicalized PCFGs (Part 1) (528).mp4	6.8 MB
Natural Language Processing 8.4 Parameter Estimation in Lexicalized PCFGs (Part 2) (908).mp4	11.6 MB
Natural Language Processing 8.5 Evaluation of Lexicalized PCFGs (Part 1) (932).mp4	12.7 MB
Natural Language Processing 8.6 Evaluation of Lexicalized PCFGs (Part 2) (1128).mp4	15.0 MB
/lectures/week5-01/
Natural Language Processing 9.0 Opening Comments (025).mp4	463.2 KB
Natural Language Processing 9.1 introduction (203).mp4	2.5 MB
Natural Language Processing 9.2 Challenges in MT (806).mp4	9.8 MB
Natural Language Processing 9.3 Classical Approaches to MT (Part 1) (802).mp4	10.5 MB
Natural Language Processing 9.4 Classical Approaches to MT (Part 2) (556).mp4	7.6 MB
Natural Language Processing 9.5 Introduction to Statistical MT (1231).mp4	16.4 MB
/lectures/week5-02/
Natural Language Processing 10.0 Introduction (324).mp4	4.1 MB
Natural Language Processing 10.1 IBM Model 1 (Part 1) (1306).mp4	16.9 MB
Natural Language Processing 10.2 IBM Model 1 (Part 2) (901).mp4	11.4 MB
Natural Language Processing 10.3 IBM Model 2 (1127).mp4	14.6 MB
Natural Language Processing 10.4 The EM Algorithm for IBM Model 2 (Part 1) (509).mp4	6.8 MB
Natural Language Processing 10.5 The EM Algorithm for IBM Model 2 (Part 2) (837).mp4	11.7 MB
Natural Language Processing 10.6 The EM Algorithm for IBM Model 2 (Part 3) (928).mp4	12.2 MB
Natural Language Processing 10.7 The EM Algorithm for IBM Model 2 (Part 4) (452).mp4	6.4 MB
Natural Language Processing 10.8 Summary (148).mp4	2.4 MB
/lectures/week6-01/
Natural Language Processing 11.0 Introduction (041).mp4	759.4 KB
Natural Language Processing 11.1 Learning Phrases from Alignments (Part 1) (918).mp4	12.1 MB
Natural Language Processing 11.2 Learning Phrases from Alignments (Part 2) (701).mp4	8.9 MB
Natural Language Processing 11.3 Learning Phrases from Alignments (Part 3) (847).mp4	11.7 MB
Natural Language Processing 11.4 A Sketch of Phrase-based Translation (817).mp4	10.3 MB
/lectures/week6-02/
Natural Language Processing 12.0 Definition of the Decoding Problem (Part 1) (912).mp4	12.3 MB
Natural Language Processing 12.1 Definition of the Decoding Problem (Part 2) (1300).mp4	16.6 MB
Natural Language Processing 12.2 Definition of the Decoding Problem (Part 3) (1043).mp4	14.2 MB
Natural Language Processing 12.3 The Decoding Algorithm (Part 1) (1439).mp4	18.9 MB
Natural Language Processing 12.4 The Decoding Algorithm (Part 2) (623).mp4	8.0 MB
Natural Language Processing 12.5 The Decoding Algorithm (Part 3) (1229).mp4	16.7 MB
/lectures/week7-01/
Natural Language Processing 13.0 Introduction (047).mp4	870.0 KB
Natural Language Processing 13.1 Two Example Problems (1119).mp4	14.8 MB
Natural Language Processing 13.2 Features in Log-Linear Models (Part 1) (1356).mp4	18.0 MB
Natural Language Processing 13.3 Features in Log-Linear Models (Part 2) (1013).mp4	13.2 MB
Natural Language Processing 13.4 Definition of Log-linear Models (Part 1) (1150).mp4	15.3 MB
Natural Language Processing 13.5 Definition of Log-linear Models (Part 2) (345).mp4	4.8 MB
Natural Language Processing 13.6 Parameter Estimation in Log-linear Models (Part 1) (1244).mp4	16.3 MB
Natural Language Processing 13.7 Parameter Estimation in Log-linear Models (Part 2) (413).mp4	5.5 MB
Natural Language Processing 13.8 SmoothingRegularization in Log-linear Models (1512).mp4	20.2 MB
/lectures/week8-01/
Natural Language Processing 14.0 Introduction (141).mp4	2.0 MB
Natural Language Processing 14.1 Recap of the Tagging Problem (315).mp4	4.5 MB
Natural Language Processing 14.2 Independence Assumptions in Log-linear Taggers (832).mp4	10.8 MB
Natural Language Processing 14.3 Features in Log-Linear Taggers (1321).mp4	17.1 MB
Natural Language Processing 14.4 Parameters in Log-linear Models (359).mp4	5.1 MB
Natural Language Processing 14.5 The Viterbi Algorithm for Log-linear Taggers (937).mp4	11.9 MB
Natural Language Processing 14.6 An Example Application (928).mp4	12.1 MB
Natural Language Processing 14.7 Summary (245).mp4	3.4 MB
/lectures/week8-02/
Natural Language Processing 15.0 Introduction (047).mp4	894.9 KB
Natural Language Processing 15.1 Conditional History-based Models (714).mp4	9.1 MB
Natural Language Processing 15.2 Representing Trees as Decision Sequences (Part 1) (723).mp4	9.1 MB
Natural Language Processing 15.3 Representing Trees as Decision Sequences (Part 2) (1020).mp4	12.6 MB
Natural Language Processing 15.4 Features and Beam Search (1210).mp4	15.4 MB
Natural Language Processing 15.5 Summary (112).mp4	1.5 MB
/lectures/week9-01/
Natural Language Processing 16.0 Introduction (036).mp4	687.0 KB
Natural Language Processing 16.1 Word Cluster Representations (836).mp4	11.6 MB
Natural Language Processing 16.2 The Brown Clustering Algorithm (Part 1) (1150).mp4	15.1 MB
Natural Language Processing 16.3 The Brown Clustering Algorithm (Part 2) (830).mp4	11.1 MB
Natural Language Processing 16.4 The Brown Clustering Algorithm (Part 3) (918).mp4	12.3 MB
Natural Language Processing 16.5 Clusters in NE Recognition (Part 1) (1133).mp4	16.1 MB
Natural Language Processing 16.6 Clusters in NE Recognition (Part 2) (728).mp4	9.3 MB
/lectures/week9-02/
Natural Language Processing 17.0 Introduction (030).mp4	588.6 KB
Natural Language Processing 17.1 Recap of History-based Models (711).mp4	9.4 MB
Natural Language Processing 17.2 Motivation for GLMs (634).mp4	8.2 MB
Natural Language Processing 17.3 Three Components of GLMs (1439).mp4	18.2 MB
Natural Language Processing 17.4 GLMs for Parse Reranking (1036).mp4	13.4 MB
Natural Language Processing 17.5 Parameter Estimation with the Perceptron Algorithm (611).mp4	7.7 MB
Natural Language Processing 17.6 Summary (301).mp4	3.9 MB
Total files 129