斯坦福NLP（自然语言处理）技术教程,全套视频教程学习资料通过百度云网盘下载

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纯英文课程，附英文字幕。

【课程内容】

NLPStanford

Week1

CourseIntroductionBasicTextProcessingEditDistance

Week2

LanguageModelingSpellingCorrection

Week3

Text_ClassificationSentiment_Analysis

Week4

Discriminativeclassifiers-MaximumEntropyclassifiersNamedentityrecognitionandMaximumEntropySequenceModelsRelationExtraction

Week5

AdvancedMaximumEntropyModelsPOSTaggingParsingIntroductionInstructorChat

Week6

ProbabilisticParsingLexicalizedParsingDependencyParsingOptional

Week7

InformationRetrievalRankedInformationRetrieval

Week8

SemanticsQuestionAnsweringSummarizationInstructorChatII

NaturalLanguageProcessingCollins

Week1

IntroductiontoNaturalLanguageProcessingTheLanguageModelingProblemParameterEstimationinLanguageModelsSummary

Week2

TaggingProblemsandHiddenMarkovModels

Week3

ParsingandContext-FreeGrammarsProbabilisticContext-FreeGrammars

Week4

WeaknessesofPCFGsLexicalizedPCFGs

Week5

IntroductiontoMachineTranslationTheIBMTranslationModels

Week6

Phrase-basedTranslationModelsDecodingofPhrase-basedTranslationModels

Week7

Log-linearModels

Week8

Log-linearModelsforTaggingLog-LinearModelsforHistory-basedParsing

Week9

UnsupervisedLearning-BrownClusteringGlobalLinearModels

Week10

GLMsforTaggingGLMsforDependencyParsing

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