Demonstrates efficient sql query conversion to natural language, indicating ease of use for non-experts.
With the rapid development of technology, Natural Language processing acts as a technique where machine and human can interact simultaneously. Besides learning a new programming language, human being can rather talk with the machine. However, the non-expert users neither understand any computer command nor have any idea about the underlying technology. For this reason, a new parser, SQL_NL has been developed to convert any Structured Query Language (SQL) query to its corresponding natural language version. The parser is much efficient to produce the results within milliseconds with error detection and debugging capabilities. The output produced by the parser is easily understandable and unambiguous with fast conversion rate.
No takes yet. Share an insight, caveat, or question.
Smita Paira (2019) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: