A free/open-source hybrid morphological disambiguation tool for Kazakh

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Date

2016-04

Authors

Assylbekov, Zhenisbek
Washington, Jonathan
Tyers, Francis
Nurkas, Assulan
Sundetova, Aida
Karibayeva, Aidana
Abduali, Balzhan
Amirova, Dina

Journal Title

Journal ISSN

Volume Title

Publisher

DOI: 10.13140/RG.2.2.12467.43045

Abstract

This paper presents the results of developing a morphological disambiguation tool for Kazakh. Starting with a previously developed rule-based approach, we tried to cope with the complex morphology of Kazakh by breaking up lexical forms across their derivational boundaries into inflectional groups and modeling their behavior with statistical methods. A hybrid rule-based/statistical approach appears to benefit morphological disambiguation demonstrating a per-token accuracy of 91% in running text.

Description

Keywords

open-source, morphological disambiguation, hybrid morphological disambiguation tool, tool for Kazakh, Research Subject Categories::MATHEMATICS

Citation

Assylbekov, Zhenisbek; North, Jonathan; Tyers, Francis; Nurkas, Assulan; Sundetova, Aida; Karibayeva, Aidana; Abduali, Balzhan; Amirova, Dina. (2016). A free/open-source hybrid morphological disambiguation tool for Kazakh.; Conference Paper.