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.