A review of the Text to SQL Frameworks

Abstract

The use of relational databases and the extraction of the stored data are generally carried out using queries expressed in a query language such as SQL (Structured Query Language). In particular, people with limited knowledge on databases are unable to write such requests. To resolve this problem, the use of natural language (NL) to interact with these systems will be the easiest alternative. Using natural language interfaces for databases (NLIDB) is the key solution to make the translation of natural languages like English to SQL queries possible. This can help to generalize access to databases for different types of users regardless their technical level of knowledge on SQL. This paper will present a short review of our already proposed framework that deal with Natural Language translation to Database queries.