Issue |
ITM Web Conf.
Volume 32, 2020
International Conference on Automation, Computing and Communication 2020 (ICACC-2020)
|
|
---|---|---|
Article Number | 01007 | |
Number of page(s) | 5 | |
Section | Automation | |
DOI | https://doi.org/10.1051/itmconf/20203201007 | |
Published online | 29 July 2020 |
Hindi Language Interface to Database
1 Ramrao Adik Institute of Technology, Computer Department, Navi Mumbai, India
2 Ramrao Adik Institute of Technology, Computer Department, Navi Mumbai, India
3 Ramrao Adik Institute of Technology, Computer Department, Navi Mumbai, India
4 Ramrao Adik Institute of Technology, Computer Department, Navi Mumbai, India
* e-mail: rachanadubey.7@gmail.com
** e-mail: tejalkawale20@gmail.com
*** e-mail: tc.twisha@gmail.com
**** e-mail: vnarawade@gmail.com
In our everyday lives we require information to accomplish daily tasks. Database is one of the most important sources of information. Database systems have been widely used in data storage and retrieval. However, to extract information from databases, we need to have some knowledge of database languages like SQL. But SQL has predefined structures and format, so it is hard for the non-expert users to formulate the desired query. To override this complexity, we have turned to natural language to retrieve information from database, which can be an ideal channel between a non-technical user and the application. But the application cannot understand natural language so an interface is required. This interface is capable of converting the user’s natural language query to an equivalent database language query. In this paper, we address the system architecture for translating a Hindi sentence in the form of an audio to an equivalent SQL query. The users don’t need to learn any formal query language; hence it’s easy to use for common people.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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