i Data-Intensive Text Processing with MapReduce

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IData-Intensive Text Processingwith MapReduceJimmy Lin and Chris DyerUniversity of Maryland, College ParkManuscript prepared April 11, 2010This is the pre-production manuscript of a book in the Morgan & Claypool SynthesisLectures on Human Language Technologies. Anticipated publication date is . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ii1Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . in the Clouds . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Ideas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Is This Different?.

with processing large amounts of text, but touches on other types of data as well (e.g., relational and graph data). The problems and solutions we discuss mostly fall into the disciplinary boundaries of natural language processing (NLP) and information retrieval (IR). Recent work in these elds is dominated by a data-driven, empirical approach,

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