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DIFF Subgroup
G10L 15/183

using context dependencies, e.g. language models

Introduced: January 2013

Full Title

Full titles differ between systems:

IPC:

Speech recognition > Speech classification or search > using natural language modelling > using context dependencies, e.g. language models

CPC:

Speech recognition (G10L17/00 takes precedence) > Speech classification or search > using natural language modelling > using context dependencies, e.g. language models

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

1 shared codes have differing titles between IPC and CPC.

IPC defines codes here since 2013.

Child Classifications

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  • G10L 15/187 Phonemic context, e.g. pronunciation rules, phonotactical constraints or phoneme n-grams since 2013 IPC+CPC Available in IPC and CPC

Top Applicants

Top Applicants (IPC)

Class G10,2013–2023, worldwide · Source: EPO PATSTAT

  1. SAMSUNG ELECTRONICS COMPANY KR 5,218
  2. GOOGLE US 4,644
  3. FRAUNHOFER DE 4,601
  4. SONY CORPORATION JP 2,380
  5. HUAWEI TECHNOLOGIES COMPANY CN 2,179
  6. YAMAHA CORPORATION 2,120
  7. IBM (INTERNATIONAL BUSINESS MACHINES CORPORATION) US 1,974
  8. MICROSOFT TECHNOLOGY LICENSING US 1,916
  9. AMAZON TECHNOLOGIES US 1,866
  10. DOLBY LABORATORIES LICENSING CORPORATION US 1,843

Top Applicants (CPC)

Class G10,2013–2023, worldwide · Source: EPO PATSTAT

  1. SAMSUNG ELECTRONICS COMPANY KR 6,277
  2. GOOGLE US 5,429
  3. FRAUNHOFER DE 4,984
  4. SONY CORPORATION JP 2,808
  5. HUAWEI TECHNOLOGIES COMPANY CN 2,577
  6. MICROSOFT TECHNOLOGY LICENSING US 2,382
  7. DOLBY LABORATORIES LICENSING CORPORATION US 2,123
  8. QUALCOMM US 2,117
  9. IBM (INTERNATIONAL BUSINESS MACHINES CORPORATION) US 2,049
  10. AMAZON TECHNOLOGIES US 1,924