Tagging accurately -- Don't guess if you know
<|reference_start|>Tagging accurately -- Don't guess if you know: 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.<|reference_end|>
@article{tapanainen1994tagging,
    title={Tagging accurately -- Don't guess if you know},
    author={Pasi Tapanainen (Rank Xerox Research Centre, Grenoble Laboratory),
  Atro Voutilainen (Research Unit for Computational Linguistics, University of
  Helsinki)},
    journal={arXiv preprint arXiv:cmp-lg/9408009},
    year={1994},
    archivePrefix={arXiv},
    eprint={cmp-lg/9408009},
    primaryClass={cmp-lg cs.CL}
}