An Intelligent Model of Syntactic Parser for a Natural Language Understanding Interface

Vol.No.2

Year: 2006

Issue: Oct-Dec

Title: An Intelligent Model of Syntactic Parser for a Natural Language Understanding Interface   

Author Name: T. Jenitha Jeba Sheeli, Joseph Raj V

Synopsis:   

Natural Language Understanding Interface allows the user to interact with the computer in a flexible and friendly manner. This paper describes a neural network model of syntactic parser for a Natural language understanding interface. This intelligent parser performs the parsing in two steps: Parts-of-speech tagging is carried out by a Back Propagation Network that takes an English word as input and generates as output the associated parts-of-speech tags; parse structure generation is done by a similar intelligent network that uses the output of the parts-of-speech tagging network and grammar rules. The proposed Back Propagation Network uses genetic algorithm for weight determination. Being a robust and optimization technique, Genetics Algorithm (GA) outperforms the gradient based conventional training algorithm, giving solution fairly accurately and quickly in less number of iterations.

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