Encoding and adaptive, scalable accessing of distributed models

Invention Grant

US08738357B2 Encoding and adaptive, scalable accessing of distributed models 有权

Title translation: 分布式模型的编码和自适应，可扩展访问

Please log in to see more content

Patent Title: Encoding and adaptive, scalable accessing of distributed models
Patent Title (中): 分布式模型的编码和自适应，可扩展访问
Application No.: US13657313

Application Date: 2012-10-22
Publication No.: US08738357B2

Publication Date: 2014-05-27
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

Encoding and adaptive, scalable accessing of distributed models

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.

Abstract(Chinese):

用于在自动机器处理中访问分布式模型的系统，方法和装置，包括在机器翻译，语音识别和其他应用中使用大型语言模型。

Public/Granted literature

US20130046530A1 ENCODING AND ADAPTIVE, SCALABLE ACCESSING OF DISTRIBUTED MODELS Public/Granted day:2013-02-21

Information query

Espacenet