Recognition of textual entities

Introduced: January 2020

Full Title

Full titles differ between systems:

IPC:

Handling natural language data > Natural language analysis > Recognition of textual entities

CPC:

Handling natural language data (speech analysis or synthesis, speech recognition G10L) > Natural language analysis (semantic analysis of natural language G06F40/30) > Recognition of textual entities

IPC and CPC are identically structured here. All 2 subcodes exist in both systems.

IPC defines codes here since 2020.

Child Classifications

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G06F 40/284 Lexical analysis, e.g. tokenisation or collocates since 2020 IPC+CPC Available in IPC and CPC
G06F 40/289 Phrasal analysis, e.g. finite state techniques or chunking since 2020 IPC+CPC Available in IPC and CPC

Top Applicants

Top Applicants (IPC)

Class G06,2013–2023, worldwide · Source: EPO PATSTAT

SAMSUNG ELECTRONICS COMPANY KR 66,669
IBM (INTERNATIONAL BUSINESS MACHINES CORPORATION) US 62,313
MICROSOFT TECHNOLOGY LICENSING US 41,918
GOOGLE US 32,969
SGCC(STATE GRID CORPORATION OF CHINA) 30,822
INTEL CORPORATION US 30,010
TENCENT TECHNOLOGY (SHENZHEN) COMPANY 28,235
HUAWEI TECHNOLOGIES COMPANY CN 26,079
APPLE US 21,891
HUAWEI TECHNOLOGIES COMPANY 20,505

Top Applicants (CPC)

Class G06,2013–2023, worldwide · Source: EPO PATSTAT

SAMSUNG ELECTRONICS COMPANY KR 76,952
IBM (INTERNATIONAL BUSINESS MACHINES CORPORATION) US 62,841
MICROSOFT TECHNOLOGY LICENSING US 44,778
GOOGLE US 35,735
INTEL CORPORATION US 32,087
HUAWEI TECHNOLOGIES COMPANY CN 30,572
TENCENT TECHNOLOGY (SHENZHEN) COMPANY 25,023
APPLE US 23,482
SGCC(STATE GRID CORPORATION OF CHINA) 22,548
HUAWEI TECHNOLOGIES COMPANY 20,917