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US Patent 9424246 System and method for inputting text into electronic devices

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
94242461
Patent Inventor Names
Benjamin William Medlock1
Douglas Alexander Harper Orr1
Páidí Creed1
Stephen Thomas Spencer1
Date of Patent
August 23, 2016
1
Patent Application Number
143073081
Date Filed
June 17, 2014
1
Patent Citations Received
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US Patent 12073147 Device, method, and graphical user interface for enabling conversation persistence across two or more instances of a digital assistant
2
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US Patent 11837237 User-specific acoustic models
3
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US Patent 11853647 Proactive assistance based on dialog communication between devices
4
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US Patent 11907436 Raise to speak
5
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US Patent 11924254 Digital assistant hardware abstraction
6
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US Patent 11979836 Method and system for operating a multi-function portable electronic device using voice-activation
7
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8
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US Patent 12061752 Attention aware virtual assistant dismissal
9
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Patent Primary Examiner
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Jialong He
1
Patent abstract

Systems comprising a user interface configured to receive text input by a user and a text prediction engine configured to receive the input text and generate text predictions. The text prediction engine may comprise a general language model and a context-specific language model. The text prediction engine is configured to generate text predictions from the general language model and the context-specific language model and combine the text predictions. The text prediction engine may comprise first and second language models and a first context-specific weighting factor associated with the first language model. The text prediction engine is configured to generate text predictions using the first and second language models, generate weighted probabilities of the text predictions from the first language model using the first context-specific weighting factor; and generate final text predictions from the weighted predictions generated from the first language model and the predictions generated by the second language model.

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