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Part of speech tagger

This is a part of speech tagger built using a novel implementation of Brill's transformation-based error-driven learning algorithm. The main advantage this has over the original implementation is speed at run-time, due to the memory-based implementation.

The tagger can be trained for different languages and tag-sets.

Reported by

University of Manchester, School of Informatics
Department of Computation, PO Box 88, Sackville Street
M60 1QD Manchester
United Kingdom
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