Vol. 9, Issue 9, Part A (2023)

Abstract
In the modern world, accurate, quick, and exact data access is essential for analysis and commercial decision-making. Users can access data from a database using the NLIDB (Natural Language Interface to Database) system by inputting requests that are expressed in natural language. In this research, a novel method for creating NLIDBs for natural language interface to databases is presented. It employs a two-stage processing method that includes syntactic processing first, then semantic processing. The processing becomes more robust and general thanks to syntactic processing. These relations' proximity facilitates and improves the accuracy of semantic processing. The systems become more portable as a result. In this study, we utilised the Hindi language interface for the patient query database to conduct Hindi-language database queries.