Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/24116
Title: Learning rules for morphological analysis and synthesis of Macedonian nouns
Authors: Ivanovska, Aneta
Zdravkova, Katerina 
Džeroski, Sasho
Erjavec, Tomaž
Issue Date: Oct-2005
Journal: Proceedings of SiKDD 2005 (Conference on Data Mining and Data Warehouses)
Abstract: This paper presents a machine learning approach to morphological analysis and synthesis of Macedonian nouns. For training and testing we used the nouns originating from Orwell’s “1984”. The paper presents experimental results of using the learned rules in the process of analysis, and in the process of noun formation. Training was performed with the whole set of Macedonian nouns from “1984” and tested by 10-fold cross-validation. All the potential nouns forms generated by the learning rules were compared with 275000 Macedonian noun forms. The accuracy of 92-97% is encouraging to apply the same approach to all categories of Macedonian words.
URI: http://hdl.handle.net/20.500.12188/24116
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles

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