Comparing a Linguistic and a Stochastic Tagger

Concerning different approaches to automatic PoS tagging: EngCG-2, a constraintbased morphological tagger, is compared in a double-blind test with a state-of-the-art statistical tagger on a common disambiguation task using a common tag set. The experiments show that for the same amount of remaining ambiguity, the error rate of the statistical tagger is one order of magnitude greater than that of the rule-based one. The two related issues of priming effects compromising the results and disagreement between human annotators are also addressed.

• Type: Conference
• Year: 1997
• Where: ACL
• Authors: Christer Samuelsson, Atro Voutilainen
• Keywords: ACL 1997, ACL 2007, Constraintbased Morphological Tagger, State-of-the-art Statistical Tagger, Statistical Tagger