The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 21, 2026

Filed:

Sep. 30, 2024
Applicant:

42maru Inc., Seoul, KR;

Inventors:

Dong Hwan Kim, Seoul, KR;

Han Soo Kim, Bucheon-si, KR;

Ah Rim Sohn, Seoul, KR;

Jun Hyeok Park, Seoul, KR;

In Je Seong, Seoul, KR;

Sun Young Lee, Seoul, KR;

Assignee:

42Maru Inc., Seoul, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/2452 (2019.01); G06F 16/242 (2019.01); G06F 40/247 (2020.01);
U.S. Cl.
CPC ...
G06F 16/24522 (2019.01); G06F 16/2433 (2019.01); G06F 40/247 (2020.01);
Abstract

Provided are a generator and method of generating a structured query language (SQL) conversion model which converts a natural language query into a SQL query. The method includes labeling, by a training data manager, each of a plurality of keywords included in a second natural language query with a tag, the tag is a first tag means a meaningless keyword in an SQL conversion of a second tag means a meaningful keyword in the SQL conversion; converting, by a SQL converter, the second natural language query into a second SQL query by using the SQL conversion model based on the second natural language query, tags labeled for each of the plurality of keywords included in the second natural language, and a database schema; and training, by a SQL conversion model trainer, the SQL conversion model based on a loss value calculated by comparing the second SQL query and a third SQL query corresponding to the second natural language query.


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