Application of Weighted Voting Taggers to Languages Described with Large Tagsets

In: Computing and Informatics, vol. 29, no. 2

M. Kuta - Jacek Kitowski - W. Wojcik - M. Wrzeszcz

Details:

Year, pages: 2010, 203 - 225

Keywords:

Part-of-speech tagging, combination tagger, weighted probability distribution voting tagger, TagPair tagger

About article:

The paper presents baseline and complex part-of-speech taggers applied to the modified corpus of Frequency Dictionary of Contemporary Polish, annotated with a large tagset. First, the paper examines accuracy of 6 baseline part-of-speech taggers. The main part of the work presents simple weighted voting and complex voting taggers. Special attention is paid to lexical voting methods and issues of ties and fallbacks. TagPair and WPDV voting methods achieve the top accuracy among all considered methods. Error reduction 10.8 % with respect to the best baseline tagger for the large tagset is comparable with other author's results for small tagsets.

How to cite:

ISO 690:

Kuta, M., Kitowski, J., Wojcik, W., Wrzeszcz, M. 2010. Application of Weighted Voting Taggers to Languages Described with Large Tagsets. In Computing and Informatics, vol. 29, no.2, pp. 203-225. 1335-9150.

APA:

Kuta, M., Kitowski, J., Wojcik, W., Wrzeszcz, M. (2010). Application of Weighted Voting Taggers to Languages Described with Large Tagsets. Computing and Informatics, 29(2), 203-225. 1335-9150.