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FlexTag: A Highly Flexible PoS Tagging Framework
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)
Abstract
We present FlexTag, a highly flexible PoS tagging framework. In contrast to monolithic implementations that can only be retrained but not adapted otherwise, FlexTag enables users to modify the feature space and the classification algorithm. Thus, FlexTag makes it easy to quickly develop custom-made taggers exactly fitting the research problem.