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Having studied four corpus-based approaches to part of speech (POS) tagging, such as transform-based error driven, the decision tree, hidden Markov model and maximum entropy, we present in this paper a novel data fusion strategy in POS tagging - correlation voting. Theoretical analysis and contrastive experiments with other fusion strategies show that linguistic knowledge for POS tagging can be more...