Statistical Morphological Disambiguation for Kazakh Language

dc.contributor.authorAzamat, Daiana
dc.date.accessioned2016-05-31T09:33:28Z
dc.date.available2016-05-31T09:33:28Z
dc.date.issued2016
dc.description.abstractThis 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.identifier.citationDaiana Azamat. 2016. Statistical Morphological Disambiguation for Kazakh Language. NAZARBAYEV UNIVERSITY, SCHOOL OF SCIENCE AND TECHNOLOGY. http://nur.nu.edu.kz/handle/123456789/1562ru_RU
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/1562
dc.language.isoenru_RU
dc.publisherNazarbayev University School of Science and Technology
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectResearch Subject Categoriesru_RU
dc.subjectKazakh languageru_RU
dc.subjectnatural language processingru_RU
dc.titleStatistical Morphological Disambiguation for Kazakh Languageru_RU
dc.typeCapstone Projectru_RU

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