公开(公告)号：US20160357853A1

公开(公告)日：2016-12-08

申请号：US14869376

申请日：2015-09-29

Applicant: Apple Inc.

Inventor： Jennifer Moore ,  John M. Homkvist

IPC: G06F17/30

Abstract: A system, method, and machine readable medium are described for providing improved search functionality on a client device.

公开(公告)号：US20170357661A1

公开(公告)日：2017-12-14

申请号：US15616878

申请日：2017-06-07

Applicant: Apple Inc.

Inventor： John M. Hornkvist ,  Ron Santos ,  Eric Koebler ,  Jennifer Moore ,  Samir Bajaj ,  Benjamin S Phipps

IPC: G06F17/30 ,  G06F17/28

CPC classification number: G06F16/2423 ,  G06F16/148 ,  G06F16/164 ,  G06F16/2428 ,  G06F17/28

Abstract: Described is a system that may search for content items in response to a voice-based natural language query. The system may provide search results for content associated with various types of user actions such as sending or receiving a document, sharing a content, printing a document, etc. For example, the system may provide search results to a query such as “Show me the last spreadsheet I sent to Bill,” or “Find all emails from Bill in April.” In addition, the system may search for content associated with a particular application. For example, the user may provide a search query including “Open my ‘NewApp’ documents.” Accordingly, one or more aspects of the system may provide an intuitive search mechanism for content by allowing a user to provide natural language search queries.

公开(公告)号：US09760559B2

公开(公告)日：2017-09-12

申请号：US14720655

申请日：2015-05-22

Applicant: Apple Inc.

Inventor： Jannes Dolfing ,  Brent Ramerth ,  Douglas Davidson ,  Jerome Bellegarda ,  Jennifer Moore ,  Andreas Eminidis ,  Joshua Shaffer

IPC: G06F17/27

CPC classification number: G06F17/276 ,  G06F17/277

Abstract: Systems and processes for predictive text input are provided. In one example process, a text input can be received. The text input can be associated with an input context. A frequency of occurrence of an m-gram with respect to a subset of a corpus can be determined using a language model. The subset can be associated with a context. A weighting factor can be determined based on a degree of similarity between the input context and the context. A weighted probability of a predicted text given the text input can be determined based on the frequency of occurrence of the m-gram and the weighting factor. The m-gram can include at least one word in the text input and at least one word in the predicted text.