Statistical Morphological Disambiguation for Kazakh Language
Loading...
Date
2016
Authors
Azamat, Daiana
Journal Title
Journal ISSN
Volume Title
Publisher
Nazarbayev University School of Science and Technology
Abstract
This paper presents the results of developing a statistical model for morphological
disambiguation of Kazakh text. Starting with basic assumptions we tried
to cope with the complex morphology of Kazakh language by breaking up lexical
forms across their derivational boundaries into inflectional groups and modeling
their behavior with statistical methods. We also provide maximum likelihood estimates
for the parameters and an effective way to perform disambiguation with
the Viterbi algorithm.
Description
Keywords
Research Subject Categories, Kazakh language, natural language processing
Citation
Daiana Azamat. 2016. Statistical Morphological Disambiguation for Kazakh Language. NAZARBAYEV UNIVERSITY, SCHOOL OF SCIENCE AND TECHNOLOGY. http://nur.nu.edu.kz/handle/123456789/1562