A Proposed Natural Language Query Processing System
Akshay G. Satav, Archana B. Ausekar, Radhika M. Bihani, Abid Shaikh · 2014
Abstract: As today’s world is moving from offline to online all the process now are been done with the help of computer’s, any data we require is present on the internet so it’s a challenging task to develop a system that will provide search interface/NLP System for users without knowing any specific syntax or knowledge of a database language. Hence we present a system that will provide the search interface for users especially for online applications, search engines and many other different databases, where accuracy and efficiency are most important terms required. Various analyses shows user is not restricted to formulate any kind of query so this system provides result to users any type of query he fires to the system accurately and efficiently, even if any user make spelling mistake the system will autocorrect the spelling and experimental result show spell checking technique is efficient than Microsoft spell checker.