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Author: Michał Korzycki

Affiliation: AGH University of Science and Technology, Poland

Keyword(s): Stemming, Inflectional Dictionary.

Abstract: In this paper we present and evaluate a robust stemming mechanism for Polish. We use the Polish Inflection Dictionary to build a Rule Based Stemmer and a Generative Reversed Rule Stemmer. The combination of both stemmers in the shape of the described Hybrid Stemmer provides us with a high precision stemming mechanism that is able to match human performance. This assumption is supported by a conducted experiment, the results of which are presented.

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Paper citation in several formats:
Korzycki, M. (2012). A Dictionary based Stemming Mechanism for Polish. In Proceedings of the 9th International Workshop on Natural Language Processing and Cognitive Science (ICEIS 2012) - NLPCS; ISBN 978-989-8565-16-7, SciTePress, pages 143-150. DOI: 10.5220/0004100301430150

@conference{nlpcs12,
author={Michał Korzycki.},
title={A Dictionary based Stemming Mechanism for Polish},
booktitle={Proceedings of the 9th International Workshop on Natural Language Processing and Cognitive Science (ICEIS 2012) - NLPCS},
year={2012},
pages={143-150},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004100301430150},
isbn={978-989-8565-16-7},
}

TY - CONF

JO - Proceedings of the 9th International Workshop on Natural Language Processing and Cognitive Science (ICEIS 2012) - NLPCS
TI - A Dictionary based Stemming Mechanism for Polish
SN - 978-989-8565-16-7
AU - Korzycki, M.
PY - 2012
SP - 143
EP - 150
DO - 10.5220/0004100301430150
PB - SciTePress