Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/40619
Type of publication: Straipsnis konferencijos medžiagoje kitose duomenų bazėse / Article in conference proceedings in other databases (P1c)
Field of Science: Filologija / Philology (H004)
Author(s): Rimkutė, Erika;Grigonytė, Gintarė
Title: Statistiniai, loginiai ir kompiuterių mokymosi metodai lietuvių kalbos morfologiniam daugiareikšmiškumui riboti
Other Title: Syntactic analysis of Lithuanian language for the disambiguation of morphological ambiguity
Is part of: Informacinės technologijos 2006 : konferencijos pranešimų medžiaga (2006 m. sausio 25 - 26 d.), T. 1, KTU. Kaunas: Kauno technologijos universitetas, 2006
Extent: p. 104-108
Date: 2006
Keywords: Tekstynas;Morfologinis daugiareikšmiškumas;Lietuvių kalba;Morphological ambiguity;Lithuanian language
ISBN: 9955099933
Abstract: The methods that have been used for solving disambiguation of morphological ambiguity of Lithuanian language are introduced in this article. These are as follows: statistical, logical, and machine learning. We claim these methods to be useful for solving automated disambiguation (e.g., word laimės (a noun or a verb)). We think that the context of a word plays a big role for morphological disambiguation. Related problems and results of the experiment are presented in this paper
Internet: https://hdl.handle.net/20.500.12259/40619
Affiliation(s): Humanitarinių mokslų fakultetas
Kompiuterinės lingvistikos centras
Vytauto Didžiojo universitetas
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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