Neural Network Based Grammatical Learning and its Application for Structure Identification

Content Provider	Semantic Scholar
Author	Xiang-Rui, Wang Chaudhari, Narendra S.
Copyright Year	2003
Abstract	Structure identification has been used widely in many contexts. Grammatical Learning methods are used to find structure information through sequences. Due to negative results, alternative representations have to be used for Grammatical Learning. One such representation is recurrent neural network. Recurrent neural networks are proposed as extended automata. In this chapter, we first summarize related works in grammatical inference and recurrent neural networks, and then propose a structural identification method to construct k order Markov Chains by using recurrent neural networks.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://cse.vnit.ac.in/people/narendraschaudhari/wp-content/uploads/sites/15/2014/10/284-NN-Grammar-Chapter.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article