Tagging accurately - Don't guess if you know.
Pasi Tapanainen, Atro Voutilainen
We discuss combining knowledge- based (or rule-based) and statistical part-of-speech taggers.
We use two mature taggers, ENGCG and Xerox Tagger, to independently tag the same text and combine
the results to produce a fully disambiguated text. In a 27000 word test sample taken from a previously
unseen corpus we achieve 98.5 % accuracy. This paper presents the data in detail.
We describe the problems we encountered in the course of combining the two taggers and discuss
the problem of evaluating taggers.
The proceedings of the Fourth Conference on Applied Natural Language Processing (ANLP'94). pages 47-52. Stuttgart, Germany, 1994.