DocumentCode :
2819481
Title :
GMM Optimization Using Neural Networks for Persian Language Detection
Author :
Shadmand, A. ; Kandovan, R. Shanghaghi ; Razzazi, F. ; Etemad, Y.
Author_Institution :
EE Dept., Islamic Azad Univ., Esfahan, Iran
Volume :
1
fYear :
2009
fDate :
24-26 April 2009
Firstpage :
922
Lastpage :
924
Abstract :
In this paper Persian language verification system is proposed and evaluated. This technique is constructed by using Gaussian mixture models as a basic system for tokenizing and a Neural Network as the backend processor. Performances result are presented for a used system of GMM Tokenizer in combining with Neural Network and finally the results of GMM-NN system compared with GMM-Tokenizer system. It will be shown that using the Neural Network as the backend processor will improve the results significantly.
Keywords :
Gaussian processes; natural language processing; neural nets; optimisation; Gaussian mixture model; Persian language detection; Persian language verification system; neural network; Neural networks; GMM; LID; Neural Network; SDC; Tokenizer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3605-7
Type :
conf
DOI :
10.1109/CSO.2009.407
Filename :
5193844
Link To Document :
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