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:
Nov. 14, 2023

Filed:

Jul. 31, 2020
Applicant:

Adobe Inc., San Jose, CA (US);

Inventors:

Ritiz Tambi, San Francisco, CA (US);

Ajinkya Kale, San Jose, CA (US);

Tracy Holloway King, Mountain View, CA (US);

Assignee:

Adobe Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/90 (2019.01); G06F 16/9032 (2019.01); G06F 40/263 (2020.01); G06F 40/242 (2020.01); G06F 16/903 (2019.01); G06N 20/00 (2019.01); G06F 18/214 (2023.01); G06F 18/2413 (2023.01);
U.S. Cl.
CPC ...
G06F 16/90324 (2019.01); G06F 16/90344 (2019.01); G06F 18/2155 (2023.01); G06F 18/24147 (2023.01); G06F 40/242 (2020.01); G06F 40/263 (2020.01); G06N 20/00 (2019.01);
Abstract

Systems and methods are disclosed for search query language identification. One method comprises generating a seed dictionary comprising a plurality of labeled dictionary terms and receiving a plurality of unlabeled sample query terms. The plurality of unlabeled sample query terms are compared to the plurality of labeled dictionary terms at a first time, and a first set of labeled sample query terms are generated by labeling at least a subset of the plurality of unlabeled sample query terms based on the first comparison. Remaining unlabeled sample query terms are then compared with the first set of labeled sample query terms at a second time, and a second set of labeled sample query terms are generated by labeling the remaining unlabeled sample query terms based on the second comparison. The first and second sets of labeled sample query terms are provided to a machine learning model configured for query language prediction.


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