SEARCHING MULTILINGUAL DOCUMENTS BASED ON DOCUMENT STRUCTURE EXTRACTION

Patent №

US 10,691,734

Granted

2020-06-23

Filed 2017

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

6

ml · nlp · speech · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15818860

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.

Machine learningNatural languageSpeechKnowledge representationPlanningAI hardwareG06F 16/3344G06F 16/338G06F 16/353G06F 16/93G06F 16/9535G06F 40/40G06F 40/58

AI classification

Natural language1.00
Planning1.00
Machine learning0.99
Knowledge representation0.96
Speech0.96
AI hardware0.94
Vision0.36
Evolutionary computation0.23

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 441870472

Assignors

TANG, XIN, YIN, KUN YAN, LI, HE, ZHAO, XUELIANG, XU, XIN

On an employer assignment, the assignors are typically the inventors.

From the same owner

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