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Coursera - Natural Language Processing

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  2. File Size：1.15 GB
  3. Creat Time：2016-08-15
  4. Active Degree：152
  5. Last Active：2024-11-18
  6. File Tags：Coursera  Natural  Language  Processing  
  7. Statement：This site does not provide download links, only text displays, and does not contain any infringement.
File List:

    Coursera - Natural Language Processing

  1. lectures/week7-01/Natural Language Processing 13.8 SmoothingRegularization in Log-linear Models (1512).mp4 19.71 MB
  2. lectures/week6-02/Natural Language Processing 12.3 The Decoding Algorithm (Part 1) (1439).mp4 18.42 MB
  3. lectures/week4-01/Natural Language Processing 7.0 Weaknesses of PCFGs (1459).mp4 18.36 MB
  4. lectures/week9-02/Natural Language Processing 17.3 Three Components of GLMs (1439).mp4 17.74 MB
  5. lectures/week10-02/Natural Language Processing 19.2 The Dependency Parsing Problem (Part 2) (1353).mp4 17.54 MB
  6. lectures/week7-01/Natural Language Processing 13.2 Features in Log-Linear Models (Part 1) (1356).mp4 17.54 MB
  7. lectures/week2-01/Natural Language Processing 4.4 The Viterbi Algorithm for HMMs (Part 1) (1407).mp4 17.41 MB
  8. lectures/week3-02/Natural Language Processing 6.4 The CKY Parsing Algorithm (Part 2) (1322).mp4 16.97 MB
  9. lectures/week8-01/Natural Language Processing 14.3 Features in Log-Linear Taggers (1321).mp4 16.71 MB
  10. lectures/week2-01/Natural Language Processing 4.3 Parameter Estimation in HMMs (1316).mp4 16.66 MB
  11. lectures/week5-02/Natural Language Processing 10.1 IBM Model 1 (Part 1) (1306).mp4 16.46 MB
  12. lectures/week4-02/Natural Language Processing 8.2 Lexicalized PCFGs Basic Definitions (1240).mp4 16.34 MB
  13. lectures/week6-02/Natural Language Processing 12.5 The Decoding Algorithm (Part 3) (1229).mp4 16.31 MB
  14. lectures/week6-02/Natural Language Processing 12.1 Definition of the Decoding Problem (Part 2) (1300).mp4 16.23 MB
  15. lectures/week5-01/Natural Language Processing 9.5 Introduction to Statistical MT (1231).mp4 16.04 MB
  16. lectures/week7-01/Natural Language Processing 13.6 Parameter Estimation in Log-linear Models (Part 1) (1244).mp4 15.92 MB
  17. lectures/week9-01/Natural Language Processing 16.5 Clusters in NE Recognition (Part 1) (1133).mp4 15.67 MB
  18. lectures/week2-01/Natural Language Processing 4.2 Hidden Markov Models (HMMs) Basic Definitions (1200).mp4 15.24 MB
  19. lectures/week1-02/Natural Language Processing 1.5 Evaluating Language Models Perplexity (1236).mp4 15.10 MB
  20. lectures/week8-02/Natural Language Processing 15.4 Features and Beam Search (1210).mp4 15.00 MB
  21. lectures/week7-01/Natural Language Processing 13.4 Definition of Log-linear Models (Part 1) (1150).mp4 14.96 MB
  22. lectures/week3-01/Natural Language Processing 5.3 Context-Free Grammars (Part 1) (1211).mp4 14.87 MB
  23. lectures/week9-01/Natural Language Processing 16.2 The Brown Clustering Algorithm (Part 1) (1150).mp4 14.79 MB
  24. lectures/week4-02/Natural Language Processing 8.6 Evaluation of Lexicalized PCFGs (Part 2) (1128).mp4 14.65 MB
  25. lectures/week1-01/Natural Language Processing 0.0 Introduction (Part 1) (1117).mp4 14.52 MB
  26. lectures/week10-02/Natural Language Processing 19.3 GLMs for Dependency Parsing (Part 1) (1159).mp4 14.49 MB
  27. lectures/week7-01/Natural Language Processing 13.1 Two Example Problems (1119).mp4 14.47 MB
  28. lectures/week3-01/Natural Language Processing 5.7 A Simple Grammar for English (Part 3) (1121).mp4 14.26 MB
  29. lectures/week5-02/Natural Language Processing 10.3 IBM Model 2 (1127).mp4 14.22 MB
  30. lectures/week1-03/Natural Language Processing 2.1 Linear Interpolation (Part 2) (1135).mp4 14.00 MB
  31. lectures/week6-02/Natural Language Processing 12.2 Definition of the Decoding Problem (Part 3) (1043).mp4 13.83 MB
  32. lectures/week2-01/Natural Language Processing 4.0 The Tagging Problem (1001).mp4 13.36 MB
  33. lectures/week4-02/Natural Language Processing 8.1 Lexicalization of a Treebank (1044).mp4 13.15 MB
  34. lectures/week9-02/Natural Language Processing 17.4 GLMs for Parse Reranking (1036).mp4 13.10 MB
  35. lectures/week3-01/Natural Language Processing 5.1 Introduction to the Parsing Problem (Part 1) (1037).mp4 12.94 MB
  36. lectures/week3-01/Natural Language Processing 5.5 A Simple Grammar for English (Part 1) (1032).mp4 12.88 MB
  37. lectures/week7-01/Natural Language Processing 13.3 Features in Log-Linear Models (Part 2) (1013).mp4 12.85 MB
  38. lectures/week3-02/Natural Language Processing 6.5 The CKY Parsing Algorithm (Part 3) (1007).mp4 12.67 MB
  39. lectures/week4-02/Natural Language Processing 8.5 Evaluation of Lexicalized PCFGs (Part 1) (932).mp4 12.43 MB
  40. lectures/week8-02/Natural Language Processing 15.3 Representing Trees as Decision Sequences (Part 2) (1020).mp4 12.26 MB
  41. lectures/week1-01/Natural Language Processing 0.1 Introduction (Part 2) (1028).mp4 12.15 MB
  42. lectures/week6-02/Natural Language Processing 12.0 Definition of the Decoding Problem (Part 1) (912).mp4 12.02 MB
  43. lectures/week9-01/Natural Language Processing 16.4 The Brown Clustering Algorithm (Part 3) (918).mp4 11.97 MB
  44. lectures/week5-02/Natural Language Processing 10.6 The EM Algorithm for IBM Model 2 (Part 3) (928).mp4 11.92 MB
  45. lectures/week3-02/Natural Language Processing 6.1 Basics of PCFGs (Part 1) (943).mp4 11.89 MB
  46. lectures/week8-01/Natural Language Processing 14.6 An Example Application (928).mp4 11.84 MB
  47. lectures/week6-01/Natural Language Processing 11.1 Learning Phrases from Alignments (Part 1) (918).mp4 11.82 MB
  48. lectures/week8-01/Natural Language Processing 14.5 The Viterbi Algorithm for Log-linear Taggers (937).mp4 11.66 MB
  49. lectures/week1-03/Natural Language Processing 2.2 Discounting Methods (Part 1) (926).mp4 11.46 MB
  50. lectures/week5-02/Natural Language Processing 10.5 The EM Algorithm for IBM Model 2 (Part 2) (837).mp4 11.45 MB
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