A review of different approaches in natural language interfaces to databases

Nowadays information technology field is growing tremendously in high speed. Most of the data or information is stored in the databases mainly in the relational databases on our computers. Extracting information from relational databases by using language called structured query language (SQL) but the SQL has predefined structure and format, so it is difficult for the non-expert users to access information from databases. By using natural language to retrieve information from database is an easier way. The computers can't understand the natural language so they need an interface; that is the reason for developing a natural language interface to database. The natural language interface is capable for translating the natural language query given by the user into an equivalent one in Database Query Language. Thus natural language interfaces to databases (NLIDB) were developed for converting natural language to SQL query and get the corresponding result from the database. There are different surveys going over time i.e., how to use natural languages like Malayalam, English, Hindi, and Tamil etc. instead of SQL query.