Statistical Morphological Disambiguation for Kazakh Language

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dc.contributor.author	Azamat, Daiana
dc.date.accessioned	2016-05-31T09:33:28Z
dc.date.available	2016-05-31T09:33:28Z
dc.date.issued	2016
dc.identifier.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	ru_RU
dc.identifier.uri	http://nur.nu.edu.kz/handle/123456789/1562
dc.description.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.	ru_RU
dc.language.iso	en	ru_RU
dc.publisher	Nazarbayev University School of Science and Technology
dc.rights	Attribution-NonCommercial-ShareAlike 3.0 United States	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-sa/3.0/us/	*
dc.subject	Research Subject Categories	ru_RU
dc.subject	Kazakh language	ru_RU
dc.subject	natural language processing	ru_RU
dc.title	Statistical Morphological Disambiguation for Kazakh Language	ru_RU
dc.type	Capstone Project	ru_RU