Title :
A Connectionist Approach to Learn Marathi Language
Author :
Kolhe, S.R. ; Pawar, B.V.
Author_Institution :
North Maharashtra Univ., Jalgaon
Abstract :
In this paper, we have investigated the inductive inference of complex grammar of subset of Marathi (Indian) language and results are reported. We have investigated Elman recurrent networks (ERNs), Jordon recurrent networks (JRNs), time lagged recurrent networks (TLRNs) and recurrent neural networks (RNNs). In this empirical study, we consider the task of classifying Marathi language sentences as grammatical or ungrammatical as well as modeled the problem as a prediction problem. We have also analyzed the operation of the networks by investing rule approximation.
Keywords :
grammars; learning (artificial intelligence); natural language processing; recurrent neural nets; Elman recurrent network; Jordon recurrent network; Marathi language learning; complex grammar; connectionist approach; inductive inference; recurrent neural network; rule approximation; sentence classification; time lagged recurrent network; Artificial neural networks; Backpropagation; Computer science; Encoding; Natural language processing; Natural languages; Neural networks; Predictive models; Recurrent neural networks; Speech; Language processing; Neural networks; Neurolinguistics;
Conference_Titel :
Emerging Trends in Engineering and Technology, 2008. ICETET '08. First International Conference on
Conference_Location :
Nagpur, Maharashtra
Print_ISBN :
978-0-7695-3267-7
Electronic_ISBN :
978-0-7695-3267-7
DOI :
10.1109/ICETET.2008.15
