<p>Some suggestions for improving the Brill's tagger were presented in the papers "Independence and Commitment: Assumptions for Rapid Training and Execution of Rule-based POS Taggers" and "Transformation-Based Learning in the Fast Lane." In addition, the rule-based POS and morphological tagging toolkit <a href="http://rdrpostagger.sourceforge.net/" rel="nofollow">RDRPOSTagger</a> also provides improvements for the Brill's tagger, where transformation-based rules are stored in the form of a binary decision tree. So RDRPOSTagger obtains very fast training and tagging performance with better accuracy than Brill's. See results <a href="http://arxiv.org/abs/1412.4021" rel="nofollow">here</a>.</p>
Transformation-Based Part-of-Speech Tagging(Brill Tagging)
<p>What are the weaknesses and strengths of the Brill Tagger? Can you suggest some possible improvements for the tagger?</p>