[Coursera] Natural Language Processing
Michael Collins (Columbia University)

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assignments/assignment-1/h1-p.4.pdf152.38kB
assignments/assignment-1/h1-p.zip1.06MB
assignments/assignment-2/h2-p.2.pdf172.64kB
assignments/assignment-2/h2.2.zip143.22kB
assignments/assignment-3/h3-p.pdf155.56kB
assignments/assignment-3/h3.zip622.60kB
assignments/assignment-4/h4-p.pdf171.25kB
assignments/assignment-4/h4.zip1.26MB
lectures/week1-01/Natural Language Processing 0.0 Introduction (Part 1) (1117).mp414.87MB
lectures/week1-01/Natural Language Processing 0.1 Introduction (Part 2) (1028).mp412.44MB
lectures/week1-02/Natural Language Processing 1.0 Introduction to the Language Modeling Problem (Part 1) (617).mp47.85MB
lectures/week1-02/Natural Language Processing 1.1 Introduction to the Language Modeling Problem (Part 2) (712).mp48.74MB
lectures/week1-02/Natural Language Processing 1.2 Markov Processes (Part 1) (856).mp410.72MB
lectures/week1-02/Natural Language Processing 1.3 Markov Processes (Part 2) (628).mp47.71MB
lectures/week1-02/Natural Language Processing 1.4 Trigram Language Models (940).mp411.61MB
lectures/week1-02/Natural Language Processing 1.5 Evaluating Language Models Perplexity (1236).mp415.46MB
lectures/week1-03/Natural Language Processing 2.0 Linear Interpolation (Part 1) (746).mp49.51MB
lectures/week1-03/Natural Language Processing 2.1 Linear Interpolation (Part 2) (1135).mp414.34MB
lectures/week1-03/Natural Language Processing 2.2 Discounting Methods (Part 1) (926).mp411.73MB
lectures/week1-03/Natural Language Processing 2.3 Discounting Methods (Part 2) (334).mp44.64MB
lectures/week1-04/Natural Language Processing 3.0 Summary (231).mp43.16MB
lectures/week10-01/Natural Language Processing 18.0 Introduction (102).mp41.20MB
lectures/week10-01/Natural Language Processing 18.1 Recap of GLMs (740).mp49.63MB
lectures/week10-01/Natural Language Processing 18.2 GLMs for Tagging (Part 1) (526).mp47.28MB
lectures/week10-01/Natural Language Processing 18.3 GLMs for Tagging (Part 2) (735).mp49.77MB
lectures/week10-01/Natural Language Processing 18.4 GLMs for Tagging (Part 3) (706).mp49.13MB
lectures/week10-01/Natural Language Processing 18.5 GLMs for Tagging (Part 4) (600).mp47.58MB
lectures/week10-02/Natural Language Processing 19.0 Introduction (037).mp4716.48kB
lectures/week10-02/Natural Language Processing 19.1 The Dependency Parsing Problem (Part 1) (521).mp46.71MB
lectures/week10-02/Natural Language Processing 19.2 The Dependency Parsing Problem (Part 2) (1353).mp417.96MB
lectures/week10-02/Natural Language Processing 19.3 GLMs for Dependency Parsing (Part 1) (1159).mp414.84MB
lectures/week10-02/Natural Language Processing 19.4 GLMs for Dependency Parsing (Part 2) (828).mp411.52MB
lectures/week10-02/Natural Language Processing 19.5 Experiments with GLMs for Dep. Parsing (538).mp47.29MB
lectures/week10-02/Natural Language Processing 19.6 Summary (250).mp43.52MB
lectures/week2-01/Natural Language Processing 4.0 The Tagging Problem (1001).mp413.68MB
lectures/week2-01/Natural Language Processing 4.1 Generative Models for Supervised Learning (857).mp411.20MB
lectures/week2-01/Natural Language Processing 4.2 Hidden Markov Models (HMMs) Basic Definitions (1200).mp415.60MB
lectures/week2-01/Natural Language Processing 4.3 Parameter Estimation in HMMs (1316).mp417.06MB
lectures/week2-01/Natural Language Processing 4.4 The Viterbi Algorithm for HMMs (Part 1) (1407).mp417.83MB
lectures/week2-01/Natural Language Processing 4.5 The Viterbi Algorithm for HMMs (Part 2) (331).mp44.42MB
lectures/week2-01/Natural Language Processing 4.6 The Viterbi Algorithm for HMMs (Part 3) (733).mp49.72MB
lectures/week2-01/Natural Language Processing 4.7 Summary (150).mp42.32MB
lectures/week3-01/Natural Language Processing 5.0 Introduction (028).mp41.04MB
lectures/week3-01/Natural Language Processing 5.1 Introduction to the Parsing Problem (Part 1) (1037).mp413.26MB
lectures/week3-01/Natural Language Processing 5.2 Introduction to the Parsing Problem (Part 2) (420).mp45.35MB
lectures/week3-01/Natural Language Processing 5.3 Context-Free Grammars (Part 1) (1211).mp415.23MB
lectures/week3-01/Natural Language Processing 5.4 Context-Free Grammars (Part 2) (222).mp42.92MB
lectures/week3-01/Natural Language Processing 5.5 A Simple Grammar for English (Part 1) (1032).mp413.18MB
lectures/week3-01/Natural Language Processing 5.6 A Simple Grammar for English (Part 2) (530).mp46.67MB
lectures/week3-01/Natural Language Processing 5.7 A Simple Grammar for English (Part 3) (1121).mp414.60MB
lectures/week3-01/Natural Language Processing 5.8 A Simple Grammar for English (Part 4) (220).mp42.99MB
lectures/week3-01/Natural Language Processing 5.9 Examples of Ambiguity (556).mp47.00MB
lectures/week3-02/Natural Language Processing 6.0 Introduction (112).mp41.35MB
lectures/week3-02/Natural Language Processing 6.1 Basics of PCFGs (Part 1) (943).mp412.18MB
lectures/week3-02/Natural Language Processing 6.2 Basics of PCFGs (Part 2) (826).mp411.35MB
lectures/week3-02/Natural Language Processing 6.3 The CKY Parsing Algorithm (Part 1) (731).mp49.81MB
lectures/week3-02/Natural Language Processing 6.4 The CKY Parsing Algorithm (Part 2) (1322).mp417.38MB
lectures/week3-02/Natural Language Processing 6.5 The CKY Parsing Algorithm (Part 3) (1007).mp412.98MB
lectures/week4-01/Natural Language Processing 7.0 Weaknesses of PCFGs (1459).mp418.81MB
lectures/week4-02/Natural Language Processing 8.0 Introduction (0017).mp4338.28kB
lectures/week4-02/Natural Language Processing 8.1 Lexicalization of a Treebank (1044).mp413.46MB
lectures/week4-02/Natural Language Processing 8.2 Lexicalized PCFGs Basic Definitions (1240).mp416.73MB
lectures/week4-02/Natural Language Processing 8.3 Parameter Estimation in Lexicalized PCFGs (Part 1) (528).mp46.85MB
lectures/week4-02/Natural Language Processing 8.4 Parameter Estimation in Lexicalized PCFGs (Part 2) (908).mp411.65MB
lectures/week4-02/Natural Language Processing 8.5 Evaluation of Lexicalized PCFGs (Part 1) (932).mp412.73MB
lectures/week4-02/Natural Language Processing 8.6 Evaluation of Lexicalized PCFGs (Part 2) (1128).mp415.00MB
lectures/week5-01/Natural Language Processing 9.0 Opening Comments (025).mp4463.21kB
lectures/week5-01/Natural Language Processing 9.1 introduction (203).mp42.48MB
lectures/week5-01/Natural Language Processing 9.2 Challenges in MT (806).mp49.82MB
lectures/week5-01/Natural Language Processing 9.3 Classical Approaches to MT (Part 1) (802).mp410.48MB
lectures/week5-01/Natural Language Processing 9.4 Classical Approaches to MT (Part 2) (556).mp47.62MB
lectures/week5-01/Natural Language Processing 9.5 Introduction to Statistical MT (1231).mp416.43MB
lectures/week5-02/Natural Language Processing 10.0 Introduction (324).mp44.15MB
lectures/week5-02/Natural Language Processing 10.1 IBM Model 1 (Part 1) (1306).mp416.86MB
lectures/week5-02/Natural Language Processing 10.2 IBM Model 1 (Part 2) (901).mp411.38MB
lectures/week5-02/Natural Language Processing 10.3 IBM Model 2 (1127).mp414.56MB
lectures/week5-02/Natural Language Processing 10.4 The EM Algorithm for IBM Model 2 (Part 1) (509).mp46.76MB
lectures/week5-02/Natural Language Processing 10.5 The EM Algorithm for IBM Model 2 (Part 2) (837).mp411.73MB
lectures/week5-02/Natural Language Processing 10.6 The EM Algorithm for IBM Model 2 (Part 3) (928).mp412.21MB
lectures/week5-02/Natural Language Processing 10.7 The EM Algorithm for IBM Model 2 (Part 4) (452).mp46.44MB
lectures/week5-02/Natural Language Processing 10.8 Summary (148).mp42.37MB
lectures/week6-01/Natural Language Processing 11.0 Introduction (041).mp4759.43kB
lectures/week6-01/Natural Language Processing 11.1 Learning Phrases from Alignments (Part 1) (918).mp412.10MB
lectures/week6-01/Natural Language Processing 11.2 Learning Phrases from Alignments (Part 2) (701).mp48.91MB
lectures/week6-01/Natural Language Processing 11.3 Learning Phrases from Alignments (Part 3) (847).mp411.65MB
lectures/week6-01/Natural Language Processing 11.4 A Sketch of Phrase-based Translation (817).mp410.34MB
lectures/week6-02/Natural Language Processing 12.0 Definition of the Decoding Problem (Part 1) (912).mp412.30MB
lectures/week6-02/Natural Language Processing 12.1 Definition of the Decoding Problem (Part 2) (1300).mp416.62MB
lectures/week6-02/Natural Language Processing 12.2 Definition of the Decoding Problem (Part 3) (1043).mp414.16MB
lectures/week6-02/Natural Language Processing 12.3 The Decoding Algorithm (Part 1) (1439).mp418.86MB
lectures/week6-02/Natural Language Processing 12.4 The Decoding Algorithm (Part 2) (623).mp47.96MB
lectures/week6-02/Natural Language Processing 12.5 The Decoding Algorithm (Part 3) (1229).mp416.71MB
lectures/week7-01/Natural Language Processing 13.0 Introduction (047).mp4870.03kB
lectures/week7-01/Natural Language Processing 13.1 Two Example Problems (1119).mp414.82MB
lectures/week7-01/Natural Language Processing 13.2 Features in Log-Linear Models (Part 1) (1356).mp417.96MB
lectures/week7-01/Natural Language Processing 13.3 Features in Log-Linear Models (Part 2) (1013).mp413.16MB
lectures/week7-01/Natural Language Processing 13.4 Definition of Log-linear Models (Part 1) (1150).mp415.32MB
lectures/week7-01/Natural Language Processing 13.5 Definition of Log-linear Models (Part 2) (345).mp44.75MB
lectures/week7-01/Natural Language Processing 13.6 Parameter Estimation in Log-linear Models (Part 1) (1244).mp416.30MB
lectures/week7-01/Natural Language Processing 13.7 Parameter Estimation in Log-linear Models (Part 2) (413).mp45.48MB
lectures/week7-01/Natural Language Processing 13.8 SmoothingRegularization in Log-linear Models (1512).mp420.19MB
lectures/week8-01/Natural Language Processing 14.0 Introduction (141).mp42.00MB
lectures/week8-01/Natural Language Processing 14.1 Recap of the Tagging Problem (315).mp44.52MB
lectures/week8-01/Natural Language Processing 14.2 Independence Assumptions in Log-linear Taggers (832).mp410.80MB
lectures/week8-01/Natural Language Processing 14.3 Features in Log-Linear Taggers (1321).mp417.11MB
lectures/week8-01/Natural Language Processing 14.4 Parameters in Log-linear Models (359).mp45.05MB
lectures/week8-01/Natural Language Processing 14.5 The Viterbi Algorithm for Log-linear Taggers (937).mp411.94MB
lectures/week8-01/Natural Language Processing 14.6 An Example Application (928).mp412.12MB
lectures/week8-01/Natural Language Processing 14.7 Summary (245).mp43.41MB
lectures/week8-02/Natural Language Processing 15.0 Introduction (047).mp4894.87kB
lectures/week8-02/Natural Language Processing 15.1 Conditional History-based Models (714).mp49.09MB
lectures/week8-02/Natural Language Processing 15.2 Representing Trees as Decision Sequences (Part 1) (723).mp49.15MB
lectures/week8-02/Natural Language Processing 15.3 Representing Trees as Decision Sequences (Part 2) (1020).mp412.56MB
lectures/week8-02/Natural Language Processing 15.4 Features and Beam Search (1210).mp415.36MB
lectures/week8-02/Natural Language Processing 15.5 Summary (112).mp41.45MB
lectures/week9-01/Natural Language Processing 16.0 Introduction (036).mp4687.04kB
lectures/week9-01/Natural Language Processing 16.1 Word Cluster Representations (836).mp411.60MB
lectures/week9-01/Natural Language Processing 16.2 The Brown Clustering Algorithm (Part 1) (1150).mp415.14MB
lectures/week9-01/Natural Language Processing 16.3 The Brown Clustering Algorithm (Part 2) (830).mp411.07MB
lectures/week9-01/Natural Language Processing 16.4 The Brown Clustering Algorithm (Part 3) (918).mp412.25MB
lectures/week9-01/Natural Language Processing 16.5 Clusters in NE Recognition (Part 1) (1133).mp416.05MB
lectures/week9-01/Natural Language Processing 16.6 Clusters in NE Recognition (Part 2) (728).mp49.31MB
lectures/week9-02/Natural Language Processing 17.0 Introduction (030).mp4588.61kB
lectures/week9-02/Natural Language Processing 17.1 Recap of History-based Models (711).mp49.45MB
lectures/week9-02/Natural Language Processing 17.2 Motivation for GLMs (634).mp48.25MB
lectures/week9-02/Natural Language Processing 17.3 Three Components of GLMs (1439).mp418.16MB
lectures/week9-02/Natural Language Processing 17.4 GLMs for Parse Reranking (1036).mp413.42MB
lectures/week9-02/Natural Language Processing 17.5 Parameter Estimation with the Perceptron Algorithm (611).mp47.68MB
lectures/week9-02/Natural Language Processing 17.6 Summary (301).mp43.95MB
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