Automatic Error Detection in Part of Speech Tagging

Details Automatic Error Detection in Part of Speech Tagging Automatic Error Detection in Part of Speech Tagging

1994-10-21

arxiv.org/abs/cmp-lg/9410013v1

Computer Science

Computation and Language

Postscript. Appeared in NeMLaP 1994

Scientific paper

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.

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