COMPARING NATURAL LANGUAGE PROCESSING TO STRUCTURED QUERY LANGUAGE ALGORITHMS

COMPARING NATURAL LANGUAGE PROCESSING TO STRUCTURED QUERY LANGUAGE ALGORITHMS

Using natural language processing to create Structured Query Language (SQL) queries has many benefi€ts in theory. Even though SQL is an expressive and powerful language it requires certain technical knowledge to use. An interface effectively utilizing natural language processing would instead allow...

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Bibliographic Details
Main Author: Eriksson, Simon
Format: Others
Language:English
Published: Umeå universitet, Institutionen för datavetenskap 2019
Subjects:
Engineering and Technology
Teknik och teknologier
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-163310
Description
Summary:Using natural language processing to create Structured Query Language (SQL) queries has many benefi€ts in theory. Even though SQL is an expressive and powerful language it requires certain technical knowledge to use. An interface effectively utilizing natural language processing would instead allow the user to communicate with the SQL database as if they were communicating with another human being. In this paper I compare how two of the currently most advanced open source algorithms (TypeSQL and SyntaxSQL) in this €field can understandadvanced SQL. I show that SyntaxSQL is signi€cantly more accurate but makes some sacri€ces in execution time compared to TypeSQL.

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