Year: 2005
Type: Proceeding article
Title: Learning rules for morphological analysis and synthesis of Macedonian nouns
Author: Ivanovska, Aneta
Author: Zdravkova, Katerina
Author: Džeroski, Sasho
Author: Erjavec, Tomaž
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.
Publisher:
Relation: Proceedings of SiKDD 2005 (Conference on Data Mining and Data Warehouses)
Identifier: oai:repository.ukim.mk:20.500.12188/24116
Identifier: http://hdl.handle.net/20.500.12188/24116
