Tagging accurately -- Don't guess if you know
| dc.creator | Tapanainen, Pasi | |
| dc.creator | Voutilainen, Atro | |
| dc.date | 1994-08-16 | |
| dc.date.accessioned | 2026-07-07T09:09:27Z | |
| dc.date.available | 2026-07-07T09:09:27Z | |
| dc.description | 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. | |
| dc.description | 6 pages, Proc. ANLP94, uuencoded and gzipped postscript | |
| dc.identifier | https://arxiv.org/abs/cmp-lg/9408009 | |
| dc.identifier | http://arxiv.org/abs/cmp-lg/9408009 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/151048 | |
| dc.subject | Computation and Language | |
| dc.title | Tagging accurately -- Don't guess if you know | |
| dc.type | text |