Automatic recognition of czech derivational prefixes

Authors:
Alfonso Medina Urrea;Jaroslava Hlaváčová
Affiliations:
GIL IINGEN UNAM, Coyoacán, DF, Mexico;ÚFAL MFF UK, Praha, Czech Republic
Venue:
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
Year:
2005

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Abstract

This paper describes the application of a method for the automatic, unsupervised recognition of derivational prefixes of Czech words. The technique combines two statistical measures — Entropy and the Economy Principle. The data were taken from the list of almost 170 000 lemmas of the Czech National Corpus