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Part-of-speech tagging is often a critical first step in various speech and language processing tasks. High-accuracy taggers (e.g., based on conditional random fields) rely on well chosen feature functions to ensure that important characteristics of the empirical training distribution are reflected in the trained model. This makes them vulnerable to any discrepancy between training and tagging corpora,...
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