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
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;
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
DOI :
10.1109/SCIS-ISIS.2012.6505337
