Learning rules for morphological analysis and synthesis of Macedonian nouns, adjectives and verbs
Journal
Proceedings of 5th Slovenian and 1st international Language Technologies Conference, Jozef Stefan Institute, Ljubljana
Date Issued
2006-10-09
Author(s)
Ivanovska, Aneta
Erjavec, Tomaz
Džeroski, Sasho
Abstract
This paper presents a machine learning approach to morphological analysis and synthesis of Macedonian nouns, adjectives and verbs.
An inductive logic programming (ILP) system, Clog, was used to learn the inflectional paradigms of Macedonian words. Clog learns
first-order decision lists, i.e., ordered sets of rules. Training and testing of the rules was performed on the words originating from
Orwell’s “1984”. High accuracies (over 90%) were achieved, which are encouraging both for further research in annotation of
Macedonian language resources as well as practical use (eg. in web search engines).
An inductive logic programming (ILP) system, Clog, was used to learn the inflectional paradigms of Macedonian words. Clog learns
first-order decision lists, i.e., ordered sets of rules. Training and testing of the rules was performed on the words originating from
Orwell’s “1984”. High accuracies (over 90%) were achieved, which are encouraging both for further research in annotation of
Macedonian language resources as well as practical use (eg. in web search engines).
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