Invention Grant
- Patent Title: Encoding and adaptive, scalable accessing of distributed models
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Application No.: US14285693Application Date: 2014-05-23
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Publication No.: US09619465B2Publication Date: 2017-04-11
- Inventor: Franz Josef Och , Jeffrey Dean , Thorsten Brants , Alexander Mark Franz , Jay Ponte , Peng Xu , Sha-Mayn Teh , Jeffrey Chin , Ignacio E. Thayer , Anton Carver , Daniel Rosart , John S. Hawkins , Karel Driesen
- Applicant: Google Inc.
- Applicant Address: US CA Mountain View
- Assignee: GOOGLE INC.
- Current Assignee: GOOGLE INC.
- Current Assignee Address: US CA Mountain View
- Agency: Remarck Law Group PLC
- Main IPC: G06F17/28
- IPC: G06F17/28
Abstract:
Systems, methods, and apparatus for accessing distributed models in automated machine processing, including using large language models in machine translation, speech recognition and other applications.
Public/Granted literature
- US20140257787A1 ENCODING AND ADAPTIVE, SCALABLE ACCESSING OF DISTRIBUTED MODELS Public/Granted day:2014-09-11
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