Automatic Error Detection in Part of Speech Tagging
| dc.creator | Elworthy, David | |
| dc.date | 1994-10-21 | |
| dc.date.accessioned | 2026-07-07T09:09:34Z | |
| dc.date.available | 2026-07-07T09:09:34Z | |
| dc.description | A technique for detecting errors made by Hidden Markov Model taggers is described, based on comparing observable values of the tagging process with a threshold. The resulting approach allows the accuracy of the tagger to be improved by accepting a lower efficiency, defined as the proportion of words which are tagged. Empirical observations are presented which demonstrate the validity of the technique and suggest how to choose an appropriate threshold. | |
| dc.description | Postscript. Appeared in NeMLaP 1994 | |
| dc.identifier | https://arxiv.org/abs/cmp-lg/9410013 | |
| dc.identifier | http://arxiv.org/abs/cmp-lg/9410013 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/151080 | |
| dc.subject | Computation and Language | |
| dc.title | Automatic Error Detection in Part of Speech Tagging | |
| dc.type | text |