Semantic Hyper-graph Based Representation of Nouns in the Kazakh Language

Fuente: Redalyc
Guardado en:
Detalles Bibliográficos
Autor principal: Banu Yergesh
Formato: Artículo científico
Lenguaje:en
Publicado: Instituto Politécnico Nacional 2014
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1876486959377940480
author Banu Yergesh
author_facet Banu Yergesh
contents Semantic Hyper-graph Based Representation of Nouns in the Kazakh Language Banu Yergesh Assel Mukanova Altynbek Sharipbay Gulmira Bekmanova Bibigul Razakhova Computación graph Ontology morphology semantic hyper word form generation We explain how semantic hyper-graphs are used to describe ontological models of morphological rules of agglutinative languages, with the Kazakh language as a case study. The vertices of these graphs represent morphological features and the edges represent relationships between these features. Such modeling allows nearly one to one translati on of the morphology of the language in to object-oriented model of data. In addition, with such a model we can easily generate new word forms. The constructed model and the dictionary generated with it are freely available for research purposes. 2014 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61532067016 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.3 Vol.18
format Artículo científico
id redalyc_61532067016
institution Redalyc
language en
publishDate 2014
publisher Instituto Politécnico Nacional
spellingShingle Semantic Hyper-graph Based Representation of Nouns in the Kazakh Language
Banu Yergesh
Computación
graph
Ontology
morphology
semantic hyper
word form generation
Semantic Hyper-graph Based Representation of Nouns in the Kazakh Language Banu Yergesh Assel Mukanova Altynbek Sharipbay Gulmira Bekmanova Bibigul Razakhova Computación graph Ontology morphology semantic hyper word form generation We explain how semantic hyper-graphs are used to describe ontological models of morphological rules of agglutinative languages, with the Kazakh language as a case study. The vertices of these graphs represent morphological features and the edges represent relationships between these features. Such modeling allows nearly one to one translati on of the morphology of the language in to object-oriented model of data. In addition, with such a model we can easily generate new word forms. The constructed model and the dictionary generated with it are freely available for research purposes. 2014 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61532067016 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.3 Vol.18
title Semantic Hyper-graph Based Representation of Nouns in the Kazakh Language
topic Computación
graph
Ontology
morphology
semantic hyper
word form generation
url https://www.redalyc.org/articulo.oa?id=61532067016