Invention Grant
US08285542B2 Adapting a language model to accommodate inputs not found in a directory assistance listing
有权
适应语言模型以适应在目录帮助列表中找不到的输入
- Patent Title: Adapting a language model to accommodate inputs not found in a directory assistance listing
- Patent Title (中): 适应语言模型以适应在目录帮助列表中找不到的输入
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Application No.: US13027921Application Date: 2011-02-15
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Publication No.: US08285542B2Publication Date: 2012-10-09
- Inventor: Dong Yu , Alejandro Acero , Yun-Cheng Ju
- Applicant: Dong Yu , Alejandro Acero , Yun-Cheng Ju
- Applicant Address: US WA Redmond
- Assignee: Microsoft Corporation
- Current Assignee: Microsoft Corporation
- Current Assignee Address: US WA Redmond
- Agency: Westman, Champlin & Kelly, P.A.
- Main IPC: G06F17/21
- IPC: G06F17/21
Abstract:
A statistical language model is trained for use in a directory assistance system using the data in a directory assistance listing corpus. Calculations are made to determine how important words in the corpus are in distinguishing a listing from other listings, and how likely words are to be omitted or added by a user. The language model is trained using these calculations.
Public/Granted literature
- US20110137639A1 ADAPTING A LANGUAGE MODEL TO ACCOMMODATE INPUTS NOT FOUND IN A DIRECTORY ASSISTANCE LISTING Public/Granted day:2011-06-09
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