Blockwise training of a language model using artificial neural network. | [Proceedings of International Conference on Information Communication Technologies • 2008]

Author(s):

1. Aurangzeb Khan: Institute of Information Technology University of Science & Technology, Bannu, khyber pakhtunkhwa, Pakistan

2. Amanullah: Institute of Information Technology University of Science & Technology, Bannu, khyber pakhtunkhwa, Pakistan

3. Shoukatullah: Institute of Information Technology University of Science & Technology, Bannu, khyber pakhtunkhwa, Pakistan

4. Zakia Hussain: Institute of Information Technology University of Science & Technology, Bannu, khyber pakhtunkhwa, Pakistan

Abstract:

Artificial Neural Network is the most widely used model for real world data. As there is very little work done on language modeling using Neural Network due to the large size of network and the training that would be too slow to be tolerable. For improving the efficiency and to provide accurate results on the basis of same behaviour data, an algorithm is proposed that uses two sophisticated techniques of data mining, that are, an agglomerative technique, which collects similar words into larger documents and then divides a larger documents into similar topic-oriented blocks and artificial neural network which performs block wise training.

Page(s): 141-145

DOI: DOI not available

Published: Journal: Proceedings of International Conference on Information Communication Technologies, Volume: 27, Issue: 0, Year: 2008

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Keywords are not available for this article.

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