Ditemukan 1 dokumen yang sesuai dengan query
Petrov, Slav
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This book develops a general coarse-to-fine framework for learning and inference in large statistical models for natural language processing.
Coarse-to-fine approaches exploit a sequence of models which introduce complexity gradually. At the top of the sequence is a trivial model in which learning and inference are both cheap. Each subsequent model refines the previous one, until a final, full-complexity model is reached. Applications of this framework to syntactic parsing, speech recognition and machine translation are presented, ...
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Berlin: Springer, 2012
e20399710
eBooks Universitas Indonesia Library
