Invention Grant
- Patent Title: Adaptation for statistical language model
- Patent Title (中): 适应统计语言模式
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Application No.: US12413606Application Date: 2009-03-30
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Publication No.: US08798983B2Publication Date: 2014-08-05
- Inventor: Katsutoshi Ohtsuki , Takashi Umeoka
- Applicant: Katsutoshi Ohtsuki , Takashi Umeoka
- Applicant Address: US WA Redmond
- Assignee: Microsoft Corporation
- Current Assignee: Microsoft Corporation
- Current Assignee Address: US WA Redmond
- Agent Steve Crocker; Peter Taylor; Micky Minhas
- Main IPC: G06F17/20
- IPC: G06F17/20 ; G06F17/22 ; G06F3/023

Abstract:
Architecture that suppresses the unexpected appearance of words by applying appropriate restrictions to long-term and short-term memory. The quickness of adaptation is also realized by leveraging the restriction. The architecture includes a history component for processing user input history for conversion of a phonetic string by a conversion process that output conversion results, and an adaptation component for adapting the conversion process to the user input history based on restriction(s) applied to short-term memory that impacts word appearances during the conversion process. The architecture performs probability boosting based on context-dependent probability differences (short-term memory), and dynamic linear-interpolation between long-term memory and baseline language model based on frequency of preceding context of word (long-term memory).
Public/Granted literature
- US20100250251A1 ADAPTATION FOR STATISTICAL LANGUAGE MODEL Public/Granted day:2010-09-30
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