Application of a Machine Learning Algorithm to Model the Declension of the Albanian Nouns

A. Kadriu (Macedonia)

Keywords

Machine learning, finite state automata, twolevelmorphology, Albanian noun declension

Abstract

This paper describes an application of a machine learning algorithm to define a two-level formalism for the declension of the Albanian nouns. The algorithm uses minimal acyclic finite automata. The input for this system is a set of pairs base_word–inflected_word. The algorithm consists of two parts: segmentation of the inflected words and finding the optimal two-level rules with minimal context. Inflectional suffixes for five inflectional cases and five two-level rules are automatically obtained. The description has been implemented using the PC_KIMMO environment. We also illustrate some limitations and problems with this description.

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