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.

Patent No.:

US 10691734 B1

PDF
Full Text
Expired
Date of Patent:
Jun. 23, 2020

Filed:

Nov. 21, 2017
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Xin Tang, Ningbo, CN;

Kun Yan Yin, Ningbo, CN;

He Li, Beijing, CN;

XueLiang Zhao, Shanghai, CN;

Xin Xu, Beijing, CN;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/33 (2019.01); G06F 16/93 (2019.01); G06F 16/338 (2019.01); G06F 16/35 (2019.01); G06F 16/9535 (2019.01); G06F 40/40 (2020.01); G06F 40/58 (2020.01);
U.S. Cl.
CPC ...
G06F 16/3344 (2019.01); G06F 16/338 (2019.01); G06F 16/353 (2019.01); G06F 16/93 (2019.01); G06F 16/9535 (2019.01); G06F 40/40 (2020.01); G06F 40/58 (2020.01);
Abstract

An approach is provided for searching multilingual documents. Structure components are extracted from multilingual documents. Based on the extracted components, the documents are grouped into classifications including respective sets of documents expressed in different respective natural languages. A natural language in a query is detected. One of the documents is selected based on the document having content indicated by the query and the natural language of the document matching the detected natural language. Structure components of the selected document are extracted. Based on the extracted structure components of the selected document, one of the classifications is identified as including the selected document. Other document(s) in the classification are identified and presented as having content that matches the content of the selected document. The natural language(s) of the other document(s) are each different from the natural language of the selected document.


Find Patent Forward Citations

Tang, Xin. (2020). Searching multilingual documents based on document structure extraction (U.S. Patent No. 10691734). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/10691734

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