SQL Translation Based on Query Process for Training School

Querying in Natural language is more convenient for the user than querying in SQL. This paper is intended to construct the query translation system from Natural Language to SQL. Natural Language Processing is a theoretically motivated range of computational techniques for analyzing and representing naturally occurring texts at one or more levels of linguistic analysis for the purpose of achieving human-like language processing for a range of tasks or applications. This paper supports users to understand SQL statement and then generates the SQL statement and query from the database. It simply accepts query sentences inputs and then inference through the lexicon database in order to produce the SQL string outputs. This system is intended to query information in Training school. They can get efficient result by using English Language query without the knowledge of SQL language. This paper is specialized for developing query and can make analysis of query sentences as far as possible.