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US Patent 10417344 Exemplar-based natural language processing

Patent 10417344 was granted and assigned to Apple (company) on September, 2019 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Apple (company)
Apple (company)
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Current Assignee
Apple (company)
Apple (company)
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
104173440
Patent Inventor Names
Thomas R. Gruber0
Richard L. Futrell0
Date of Patent
September 17, 2019
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Patent Application Number
161940690
Date Filed
November 16, 2018
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Patent Citations
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US Patent 10096319 Voice-based determination of physical and emotional characteristics of users
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US Patent 10049663 Intelligent automated assistant for media exploration
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US Patent 10037758 Device and method for understanding user intent
Patent Citations Received
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US Patent 12126878 Displaying information related to content playing on a device
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US Patent 11487364 Raise to speak
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US Patent 11924254 Digital assistant hardware abstraction
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0
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US Patent 12061752 Attention aware virtual assistant dismissal
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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
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US Patent 11467802 Maintaining privacy of personal information
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US Patent 11538469 Low-latency intelligent automated assistant
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Patent Primary Examiner
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Edwin S Leland, III
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Patent abstract

Systems and processes for exemplar-based natural language processing are provided. In one example process, a first text phrase can be received. It can be determined whether editing the first text phrase to match a second text phrase requires one or more of inserting, deleting, and substituting a word of the first text phrase. In response to determining that editing the first text phrase to match the second text phrase requires one or more of inserting, deleting, and substituting a word of the first text phrase, one or more of an insertion cost, a deletion cost, and a substitution cost can be determined. A semantic edit distance between the first text phrase and the second text phrase in a semantic space can be determined based on one or more of the insertion cost, the deletion cost, and the substitution cost.

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