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Summary: A Rule-Based Tagger Development Framework
Zoltan Alexin 1 , Peter Leipold 2 ,
Janos Csirik 1 , Karoly Bibok 3 , and Tibor Gyimothy 2
1 Department of Applied Informatics, University of Szeged,
Arpad ter 2. POB 652, H-6701 Szeged,
alexin@inf.u-szeged.hu, csirik@inf.u-szeged.hu
2 Research Group on Arti cial Intelligence,
Hungarian Academy of Sciences,
Aradi vertanuk tere 1, H-6720 Szeged,
pleipold@freemail.hu, gyimothy@inf.u-szeged.hu
3 Slavic Institute, University of Szeged,
Egyetem utca 6, H-6720 Szeged,
kbibok@lit.u-szeged.hu
Abstract. POS (Part-of-speech) tagging is an important step in natural
language processing because identically written words may have di erent
meanings. Part-of-speech tagging is the procedure during which the cor-
rect morphological annotation (the correct tag) for an ambiguous word
is selected. Computer programs able to do the process automatically
are called POS taggers. In this paper the RTDF (a Rule-based Tagger
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