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Comparing a Linguistic and a Stochastic Tagger

TitleComparing a Linguistic and a Stochastic Tagger
Publication TypeConference Paper
Year of Publication1997
AuthorsSamuelsson, C, Voutilainen, A
Conference Name35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
PublisherAssociation for Computational Linguistics
Conference LocationMadrid, Spain
Abstract

Concerning different approaches to automatic PoS tagging: EngCG-2, a constraint-based 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.

URLhttp://dl.acm.org/ft_gateway.cfm?id=979649&ftid=527698&dwn=1&CFID=561350326&CFTOKEN=88353382
DOI10.3115/976909.979649