Rule-Based morphological tagger for an inflectional language

Authors:
Daniel Hládek;Ján Staš;Jozef Juhár
Affiliations:
Department of Electronics and Multimedia Communications, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Košice, Slovak Republic;Department of Electronics and Multimedia Communications, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Košice, Slovak Republic;Department of Electronics and Multimedia Communications, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Košice, Slovak Republic
Venue:
COST'11 Proceedings of the 2011 international conference on Cognitive Behavioural Systems
Year:
2011

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Abstract

This paper aims to present an alternative view on the task of morphological tagging - a rule based system with new and simple learning method that uses just basic arithmetic operations to create an efficient knowledge base. Matching process of this rule-based approach follows specific-to-general technique, where rules for more specific contexts are applied whenever they are available in the rule-base. As a consequence, the major accuracy and performance improvements can be achieved by pruning the rule-base.