COMPARING NATURAL LANGUAGE PROCESSING TO STRUCTURED QUERY LANGUAGE ALGORITHMS

Using natural language processing to create Structured Query Language (SQL) queries has many benefi\u80ts 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 \u80field can understandadvanced SQL. I show that SyntaxSQL is signi\u80cantly more accurate but makes some sacri\u80ces in execution time compared to TypeSQL