Method for enhancing learning data set in natural language processing system

A method of training a predetermined neural network in a natural language processing system including a translator for translating a natural language query into a structured query language (SQL) query based on the predetermined neural network, the method comprising:

• determining a first initial training dataset including a first training natural language query, database information of a database, and a first training SQL query corresponding to the first training natural language query;
• generating first new database information of a first new database having a different schema than the database by applying a first schema modification operation to the database;
• generating a first new training SQL query for the first new database by applying a first SQL query synchronization operation corresponding to the first schema modification operation to the first training SQL query;
• determining a first new training dataset including the first training natural language query, the first new database information, and the first new training SQL query;
• and
• training the neural network using the first new training dataset.

An information search device for providing a search result corresponding to a natural language query, the information search device comprising:

• a memory configured to store program commands;
• and
• a processor connected to the memory and configured to execute the program commands stored in the memory,
• wherein, when the program commands are executed by the processor, the program commands cause the processor to perform the operations of:
• training a predetermined neural network;
• receiving the natural language query;
• translating the natural language query into a structured query language (SQL) query based on the predetermined neural network;
• and
• acquiring the search result corresponding to the natural language query using the SQL query,
• wherein program commands causing the processor to perform the operation of training the predetermined neural network cause the processor to perform the operations of:
• determining a first initial training dataset including a first training natural language query, database information of a database, and a first training SQL query corresponding to the first training natural language query;
• generating first new database information of a first new database having a different schema than the database by applying a first schema modification operation to the database;
• generating a first new training SQL query for the first new database by applying a first SQL query synchronization operation corresponding to the first schema modification operation to the first training SQL query;
• determining a first new training dataset including the first training natural language query, the first new database information, and the first new training SQL query;
• and
• training the neural network using the first new training dataset.