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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