Natural Language Query Processing on Dynamic Databases Using Semantic Grammar

Abstract

Ease and effectiveness of Information Retrieval from Structured Database through Natural Language provides high utility value. The main purpose of Natural Language Query Processing is that an English sentence will be interpreted by the computer and appropriate action taken. It includes correct interpretation, disambiguation and context resolution in natural language query processing. Asking questions to databases in natural language is a very convenient and easy method of data access, especially for casual users who do not understand complicated database query languages such as SQL. Input of system is an English statement that will be converted into equivalent SQL query and SQL query will be fired on related database to get final output. Our system provides intelligence to the natural language processing in terms of lexicon processing, query formulation and automatic generation of SQL code which can be easily modified and reuse.