Fuzzy Set Tagging

Authors:
Dariusz J. Kogut
Affiliations:
-
Venue:
CICLing '02 Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing
Year:
2002

Citing 5
Cited 0

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Abstract

This paper presents a fuzzy set approach to the rule-based tagging. Both lexical and contextual phases have been shortly discussed to point the potential advantages of using an uncertain part-of-speech information. Obtained results are comparable with the results of other taggers, for example, Brill tagger.