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[Coursera] Natural Language Processing (Columbia University) (nlangp)

by: Columbia University

Publisher: Academic Torrents

Contributor: Academic Torrents

Academictorrents_collection: video-lectures

Addeddate: 2018-08-12 13:32:30

External-identifier: urn:academictorrents:8a8f93e18dd6c46c48ee2936ed500b1ff4cc9175

Identifier: academictorrents_8a8f93e18dd6c46c48ee2936ed500b1ff4cc9175

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Scanner: Internet Archive Python library 1.8.1

Source: http://academictorrents.com/details/8a8f93e18dd6c46c48ee2936ed500b1ff4cc9175
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40 files

ABBYY GZ

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102.0K

01_Introduction_Part_1_11-17_abbyy.gz

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01_Introduction_to_the_Language_Modeling_Problem_Part_1_6-17_0_Quiz_Questions_abbyy.gz

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01_Introduction_to_the_Language_Modeling_Problem_Part_1_6-17_abbyy.gz

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01_The_Tagging_Problem_10-01_0_Quiz_Questions_abbyy.gz

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01_The_Tagging_Problem_10-01_abbyy.gz

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02_Basics_of_PCFGs_Part_1_9-43_abbyy.gz

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01_Introduction_00-17_0_Quiz_Questions_abbyy.gz

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01_Opening_Comments_0-25_abbyy.gz

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01_Introduction_3-24_0_Questions_abbyy.gz

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01_Introduction_0-41_0_Phrase-Based_Questions_abbyy.gz

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01_Definition_of_the_Decoding_Problem_Part_1_9-12_0_Decoding_Phrase_Based_abbyy.gz

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02_Word_Cluster_Representations_8-36_0_Slides_abbyy.gz

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40 files

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01_Introduction_Part_1_11-17_djvu.txt

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01_Introduction_to_the_Language_Modeling_Problem_Part_1_6-17_0_Quiz_Questions_djvu.txt

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01_Introduction_to_the_Language_Modeling_Problem_Part_1_6-17_djvu.txt

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01_The_Tagging_Problem_10-01_0_Quiz_Questions_djvu.txt

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01_The_Tagging_Problem_10-01_djvu.txt

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02_Introduction_to_the_Parsing_Problem_Part_1_10-37_djvu.txt

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01_Introduction_1-12_0_Quiz_Questions_djvu.txt

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02_Basics_of_PCFGs_Part_1_9-43_djvu.txt

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01_Weaknesses_of_PCFGs_14-59_0_Quiz_djvu.txt

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01_Introduction_00-17_0_Quiz_Questions_djvu.txt

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01_Opening_Comments_0-25_djvu.txt

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01_Introduction_3-24_0_Questions_djvu.txt

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01_Introduction_0-41_0_Phrase-Based_Questions_djvu.txt

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01_Definition_of_the_Decoding_Problem_Part_1_9-12_0_Decoding_Phrase_Based_djvu.txt

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02_Word_Cluster_Representations_8-36_0_Slides_djvu.txt

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AboutUs.html

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DiscussionForums.html

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Home.html

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zip_page.html

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ProgrammingAssignments.html

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01_Introduction_Part_1_11-17.mp4

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02_Introduction_Part_2_10-28.mp4

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01_Introduction_to_the_Language_Modeling_Problem_Part_1_6-17.mp4

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02_Introduction_to_the_Language_Modeling_Problem_Part_2_7-12.mp4

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03_Markov_Processes_Part_1_8-56.mp4

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04_Markov_Processes_Part_2_6-28.mp4

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05_Trigram_Language_Models_9-40.mp4

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06_Evaluating_Language_Models-_Perplexity_12-36.mp4

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01_Linear_Interpolation_Part_1_7-46.mp4

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02_Linear_Interpolation_Part_2_11-35.mp4

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03_Discounting_Methods_Part_1_9-26.mp4

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04_Discounting_Methods_Part_2_3-34.mp4

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01_Summary_2-31.mp4

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01_The_Tagging_Problem_10-01.mp4

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02_Generative_Models_for_Supervised_Learning_8-57.mp4

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03_Hidden_Markov_Models_HMMs-_Basic_Definitions_12-00.mp4

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04_Parameter_Estimation_in_HMMs_13-16.mp4

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05_The_Viterbi_Algorithm_for_HMMs_Part_1_14-07.mp4

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02_Introduction_to_the_Parsing_Problem_Part_1_10-37.mp4

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03_Introduction_to_the_Parsing_Problem_Part_2_4-20.mp4

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04_Context-Free_Grammars_Part_1_12-11.mp4

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06_A_Simple_Grammar_for_English_Part_1_10-32.mp4

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08_A_Simple_Grammar_for_English_Part_3_11-21.mp4

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09_A_Simple_Grammar_for_English_Part_4_2-20.mp4

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10_Examples_of_Ambiguity_5-56.mp4

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01_Introduction_1-12.mp4

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02_Basics_of_PCFGs_Part_1_9-43.mp4

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04_The_CKY_Parsing_Algorithm_Part_1__7-31.mp4

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06_The_CKY_Parsing_Algorithm_Part_3_10-07.mp4

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01_Weaknesses_of_PCFGs_14-59.mp4

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01_Introduction_00-17.mp4

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02_Lexicalization_of_a_Treebank_10-44.mp4

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04_Parameter_Estimation_in_Lexicalized_PCFGs_Part_1_5-28.mp4

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05_Parameter_Estimation_in_Lexicalized_PCFGs_Part_2_9-08.mp4

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06_Evaluation_of_Lexicalized_PCFGs_Part_1_9-32.mp4

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01_Opening_Comments_0-25.mp4

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02_introduction_2-03.mp4

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03_Challenges_in_MT_8-06.mp4

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04_Classical_Approaches_to_MT_Part_1_8-02.mp4

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05_Classical_Approaches_to_MT_Part_2_5-56.mp4

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06_Introduction_to_Statistical_MT_12-31.mp4

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01_Introduction_3-24.mp4

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02_IBM_Model_1_Part_1_13-06.mp4

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03_IBM_Model_1_Part_2_9-01.mp4

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05_The_EM_Algorithm_for_IBM_Model_2_Part_1_5-09.mp4

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07_The_EM_Algorithm_for_IBM_Model_2_Part_3_9-28.mp4

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08_The_EM_Algorithm_for_IBM_Model_2_Part_4_4-52.mp4

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09_Summary_1-48.mp4

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01_Introduction_0-41.mp4

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02_Learning_Phrases_from_Alignments_Part_1_9-18.mp4

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04_Learning_Phrases_from_Alignments_Part_3_8-47.mp4

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05_A_Sketch_of_Phrase-based_Translation_8-17.mp4

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01_Definition_of_the_Decoding_Problem_Part_1_9-12.mp4

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02_Definition_of_the_Decoding_Problem_Part_2_13-00.mp4

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03_Definition_of_the_Decoding_Problem_Part_3_10-43.mp4

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04_The_Decoding_Algorithm_Part_1_14-39.mp4

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05_The_Decoding_Algorithm_Part_2_6-23.mp4

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06_The_Decoding_Algorithm_Part_3_12-29.mp4

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01_Introduction_0-47.mp4

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02_Two_Example_Problems_11-19.mp4

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03_Features_in_Log-Linear_Models_Part_1_13-56.mp4

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05_Definition_of_Log-linear_Models_Part_1_11-50.mp4

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09_Smoothing-Regularization_in_Log-linear_Models_15-12.mp4

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01_Introduction_1-41.mp4

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02_Recap_of_the_Tagging_Problem_3-15.mp4

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06_The_Viterbi_Algorithm_for_Log-linear_Taggers_9-37.mp4

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08_Summary_2-45.mp4

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01_Introduction_0-47.mp4

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03_Representing_Trees_as_Decision_Sequences_Part_1_7-23.mp4

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04_Representing_Trees_as_Decision_Sequences_Part_2_10-20.mp4

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05_Features_and_Beam_Search_12-10.mp4

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06_Summary_1-12.mp4

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01_Introduction_0-36.mp4

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02_Word_Cluster_Representations_8-36.mp4

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03_The_Brown_Clustering_Algorithm_Part_1_11-50.mp4

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06_Clusters_in_NE_Recognition_Part_1_11-33.mp4

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06_Parameter_Estimation_with_the_Perceptron_Algorithm_6-11.mp4

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07_Summary_3-01.mp4

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01_Introduction_1-02.mp4

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02_Recap_of_GLMs_7-40.mp4

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03_GLMs_for_Tagging_Part_1_5-26.mp4

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06_GLMs_for_Tagging_Part_4_6-00.mp4

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01_Introduction_0-37.mp4

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02_The_Dependency_Parsing_Problem_Part_1_5-21.mp4

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04_GLMs_for_Dependency_Parsing_Part_1_11-59.mp4

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05_GLMs_for_Dependency_Parsing_Part_2_8-28.mp4

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06_Experiments_with_GLMs_for_Dep._Parsing_5-38.mp4

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07_Summary_2-50.mp4

121 files

OGG VIDEO

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01_Introduction_Part_1_11-17.ogv

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02_Introduction_Part_2_10-28.ogv

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01_Introduction_to_the_Language_Modeling_Problem_Part_1_6-17.ogv

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02_Introduction_to_the_Language_Modeling_Problem_Part_2_7-12.ogv

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03_Markov_Processes_Part_1_8-56.ogv

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04_Markov_Processes_Part_2_6-28.ogv

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05_Trigram_Language_Models_9-40.ogv

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06_Evaluating_Language_Models-_Perplexity_12-36.ogv

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01_Linear_Interpolation_Part_1_7-46.ogv

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02_Linear_Interpolation_Part_2_11-35.ogv

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03_Discounting_Methods_Part_1_9-26.ogv

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01_Summary_2-31.ogv

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01_The_Tagging_Problem_10-01.ogv

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02_Generative_Models_for_Supervised_Learning_8-57.ogv

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03_Hidden_Markov_Models_HMMs-_Basic_Definitions_12-00.ogv

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05_The_Viterbi_Algorithm_for_HMMs_Part_1_14-07.ogv

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07_The_Viterbi_Algorithm_for_HMMs_Part_3_7-33.ogv

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08_Summary_1-50.ogv

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01_Introduction_0-28.ogv

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02_Introduction_to_the_Parsing_Problem_Part_1_10-37.ogv

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03_Introduction_to_the_Parsing_Problem_Part_2_4-20.ogv

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06_A_Simple_Grammar_for_English_Part_1_10-32.ogv

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08_A_Simple_Grammar_for_English_Part_3_11-21.ogv

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09_A_Simple_Grammar_for_English_Part_4_2-20.ogv

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10_Examples_of_Ambiguity_5-56.ogv

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01_Introduction_1-12.ogv

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02_Basics_of_PCFGs_Part_1_9-43.ogv

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03_Basics_of_PCFGs_Part_2_8-26.ogv

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04_The_CKY_Parsing_Algorithm_Part_1__7-31.ogv

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05_The_CKY_Parsing_Algorithm_Part_2__13-22.ogv

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06_The_CKY_Parsing_Algorithm_Part_3_10-07.ogv

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01_Weaknesses_of_PCFGs_14-59.ogv

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01_Introduction_00-17.ogv

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02_Lexicalization_of_a_Treebank_10-44.ogv

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03_Lexicalized_PCFGs-_Basic_Definitions_12-40.ogv

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04_Parameter_Estimation_in_Lexicalized_PCFGs_Part_1_5-28.ogv

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05_Parameter_Estimation_in_Lexicalized_PCFGs_Part_2_9-08.ogv

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06_Evaluation_of_Lexicalized_PCFGs_Part_1_9-32.ogv

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07_Evaluation_of_Lexicalized_PCFGs_Part_2_11-28.ogv

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01_Opening_Comments_0-25.ogv

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02_introduction_2-03.ogv

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03_Challenges_in_MT_8-06.ogv

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04_Classical_Approaches_to_MT_Part_1_8-02.ogv

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05_Classical_Approaches_to_MT_Part_2_5-56.ogv

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06_Introduction_to_Statistical_MT_12-31.ogv

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01_Introduction_3-24.ogv

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02_IBM_Model_1_Part_1_13-06.ogv

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03_IBM_Model_1_Part_2_9-01.ogv

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04_IBM_Model_2_11-27.ogv

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05_The_EM_Algorithm_for_IBM_Model_2_Part_1_5-09.ogv

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06_The_EM_Algorithm_for_IBM_Model_2_Part_2_8-37.ogv

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07_The_EM_Algorithm_for_IBM_Model_2_Part_3_9-28.ogv

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08_The_EM_Algorithm_for_IBM_Model_2_Part_4_4-52.ogv

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09_Summary_1-48.ogv

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01_Introduction_0-41.ogv

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02_Learning_Phrases_from_Alignments_Part_1_9-18.ogv

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03_Learning_Phrases_from_Alignments_Part_2_7-01.ogv

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04_Learning_Phrases_from_Alignments_Part_3_8-47.ogv

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05_A_Sketch_of_Phrase-based_Translation_8-17.ogv

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01_Definition_of_the_Decoding_Problem_Part_1_9-12.ogv

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02_Definition_of_the_Decoding_Problem_Part_2_13-00.ogv

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03_Definition_of_the_Decoding_Problem_Part_3_10-43.ogv

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04_The_Decoding_Algorithm_Part_1_14-39.ogv

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05_The_Decoding_Algorithm_Part_2_6-23.ogv

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06_The_Decoding_Algorithm_Part_3_12-29.ogv

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01_Introduction_0-47.ogv

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[Coursera] Natural Language Processing (Columbia University) (nlangp)

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