Transformation-Based Learning of Rules for Constraint Grammar Tagging
نویسنده
چکیده
If we conceive of a Constraint Grammar as an ordered sequence of transformation rules of a particular kind – as reduction rules rather than replacement rules – the transformation-based learning method used to train Brill taggers can, with minor modifications, be used to train Constraint Grammar taggers as well. This paper makes a few observations based on this approach, and presents some initial and rather promising experimental results.
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