Transcription of i Data-Intensive Text Processing with MapReduce
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i Data-Intensive Text Processing with MapReduce
IData-Intensive Text Processingwith MapReduceJimmy Lin and Chris DyerUniversity of Maryland, College ParkManuscript prepared April 11, 2010 This is the pre-production manuscript of a book in the Morgan & Claypool SynthesisLectures on Human Language Technologies. Anticipated publication date is .. ii1 Introduction .. in the Clouds .. Ideas .. Is This Different? .. This Book Is Not .. 172 MapReduce Basics .. Programming Roots .. and Reducers .. Execution Framework .. and Combiners .. Distributed File System .. Cluster Architecture .. 383 MapReduce algorithm Design .. Aggregation .. Combiners and In-Mapper Algorithmic Correctness with Local and Stripes.
6.1.4 Expectation Maximization 119 6.1.5 An EM Example 120 6.2 Hidden Markov Models ..... 121 6.2.1 Three Questions for Hidden Markov Models 123 6.2.2 The Forward Algorithm 125 6.2.3 The Viterbi Algorithm 126
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