DocumentCode
2007901
Title
Semantic neural network model of morphological rules of the agglutinative languages
Author
Sharipbaev, A.A. ; Bekmanova, G.T. ; Buribayeva, A.K. ; Yergesh, B.Z. ; Mukanova, A.S. ; Kaliyev, A.K.
Author_Institution
Sci. Res. Inst. “Artificial Intell.”, L.N. Gumilyov Eurasian Nat. Univ., Astana, Kazakhstan
fYear
2012
fDate
20-24 Nov. 2012
Firstpage
1094
Lastpage
1099
Abstract
The paper presents a formalization of morphological rules agglutinative languages as an example of Kazakh language. For formalization of morphological rules is proposed to use semantic neural network.
Keywords
natural language processing; neural nets; Kazakh language; agglutinative language; morphological rule formalization; semantic neural network model; agglutinative languages; analysis; morphological rules; semantic neural network; systhesis;
fLanguage
English
Publisher
ieee
Conference_Titel
Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS), 2012 Joint 6th International Conference on
Conference_Location
Kobe
Print_ISBN
978-1-4673-2742-8
Type
conf
DOI
10.1109/SCIS-ISIS.2012.6505337
Filename
6505337
Link To Document