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:
Jan. 06, 2026

Filed:

Aug. 21, 2023
Applicant:

Oracle International Corporation, Redwood Shores, CA (US);

Inventors:

Paria Jamshid Lou, Sydney, AU;

Gioacchino Tangari, Sydney, AU;

Jason Black, Redmond, WA (US);

Bhagya Gayathri Hettige, Melbourne, AU;

Xu Zhong, Melbourne, AU;

Poorya Zaremoodi, Melbourne, AU;

Thanh Long Duong, Seabrook, AU;

Mark Edward Johnson, Sydney, AU;

Assignee:

Oracle International Corporation, Redwood Shores, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/40 (2020.01); G06F 40/284 (2020.01); G06F 40/289 (2020.01); G10L 15/06 (2013.01);
U.S. Cl.
CPC ...
G06F 40/40 (2020.01); G06F 40/284 (2020.01); G06F 40/289 (2020.01); G10L 15/063 (2013.01);
Abstract

Obtaining collections of sentences in different languages that are usable for training models in various applications of artificial intelligence is provided. A method is provided that obtains, from text corpus, webpages in a plurality of languages, each of the webpages corresponding to an URL; obtains annotations for each of the webpages based on its URL, to obtain annotated data entries corresponding to the webpages, each of the annotated data entries including a classification label corresponding to a sub-topic of one of a plurality of topics, where each of the plurality of topics includes a corresponding plurality of sub-topics; filters the annotated data entries to obtain topic-specific content in a target language based on the classification labels, the topic-specific content corresponding to one or more sub-topics; performs post-processing on the topic-specific content to obtain result data; and outputs the result data for the topic.


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