Towards a Data-driven Morphological Analysis of Kazakh Language

Autor: MAKHAMBETOV, Olzhas, MAKAZHANOV, Aibek, YESSENBAYEV, Zhandos, Sabyrgaliyev, Islam, SHARAFUDİNOV, Anuar
Jazyk: angličtina
Rok vydání: 2014
Předmět:
Zdroj: Volume: 7, Issue: 2 31-36
Türkiye Bilişim Vakfı Bilgisayar Bilimleri ve Mühendisliği Dergisi
ISSN: 1305-8991
2618-5997
DOI: 10.13140/rg.2.1.3651.4648
Popis: We propose a method for complete morphological analysis of Kazakh language that accounts for both inflectional and derivational morphology. Our method is data-driven and does not require manually generated rules, which makes it convenient for analyzing agglutinative languages. The intuition behind our approach is to label morphemes with so called transition labels, i.e. labels that encode grammatical functions of morphemes as transitions between corresponding POS, and use transitivity to ease the analysis. We evaluate our method on a fair-sized sample of real data and report encouraging results.
Databáze: OpenAIRE