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公开(公告)号：US10827330B2
公开(公告)日：2020-11-03
申请号：US16893138
申请日：2020-06-04
Applicant: Apple Inc.
Inventor： Daniel C. Gross , Patrick L. Coffman , Richard R. Dellinger , Christopher P. Foss , Jason J. Gauci , Aria D. Haghighi , Cyrus D. Irani , Bronwyn A. Jones , Gaurav Kapoor , Stephen O. Lemay , Colin C. Morris , Michael R. Siracusa , Lawrence Y. Yang , Brent D. Ramerth , Jerome R. Bellegarda , Jannes G. A. Dolfing , Giulia P. Pagallo , Xin Wang , Jun Hatori , Alexandre R. Moha , Kevin D. Clark , Karl Christian Kohlschuetter , Jesper A. Andersen , Hafid Arras , Alexandre Carlhian , Thomas Deniau , Mathieu J. Martel , Sofiane Toudji
Abstract: Systems and methods for proactively identifying and surfacing relevant content on an electronic device with a touch-sensitive display are disclosed herein. In one aspect, a method includes obtaining information identifying a first physical location viewed by a user in a first application. The method further includes detecting a first input. In response to detecting the first input: a second application is identified that is capable of accepting geographic location information; and an affordance is presented that is distinct from the first application, with a suggestion to open the second application. The suggestion includes information about the first physical location. The method further includes detecting a second input at the affordance. In response to detecting the second input at the affordance, the second application is opened and populated to include information that is based at least in part on the information identifying the first physical location.
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公开(公告)号：US10592601B2
公开(公告)日：2020-03-17
申请号：US15270711
申请日：2016-09-20
Applicant: Apple Inc.
Inventor： Giulia Pagallo , Jerome R. Bellegarda , Vivek Kumar Rangarajan Sridhar , Randal J. Marsden , Justin S. Hogg
IPC: G06F17/27 , G06F3/0488 , G06F17/28
Abstract: Systems and processes for multilingual word prediction are provided. In accordance with one example, a method includes, at an electronic device having one or more processors and memory, identifying context information of the electronic device and generating, with the one or more processors, a plurality of candidate words based on the context information, wherein a first candidate word of the plurality of candidate words corresponds to a first language of a plurality of languages and a second candidate word of the plurality of candidate words corresponds to a second language of the plurality of languages different than the first language.
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公开(公告)号：US10474753B2
公开(公告)日：2019-11-12
申请号：US15717837
申请日：2017-09-27
Applicant: Apple Inc.
Inventor： Jerome R. Bellegarda , Jannes G. Dolfing
Abstract: Systems and processes for language identification using recurrent neural networks are provided. An example method includes, at an electronic device, receiving a first typed character of a character sequence and determining a character context of the first typed character based on the first typed character and a second typed character of the character sequence. The method further includes determining a confidence level that the character sequence is associated with a language of a plurality of languages based on the character context of the first typed character, and determining whether the confidence level exceeds a threshold, in accordance with a determination that the confidence level exceeds the threshold, providing the language as a candidate language, and in accordance with a determination that the confidence level does not exceed the threshold, forgoing providing the language as a candidate language.
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公开(公告)号：US10417266B2
公开(公告)日：2019-09-17
申请号：US15673146
申请日：2017-08-09
Applicant: Apple Inc.
Inventor： Alkeshkumar Patel , Jerome R. Bellegarda
IPC: G06F17/30 , G06F16/332 , G06F17/27 , G06F17/28
Abstract: Systems and processes for operating an intelligent automated assistant to provide a set of predicted responses are provided. An example method includes, at an electronic device having one or more processors, receiving one or more messages and analyzing the unstructured natural language information of the one or more messages. The method also includes determining, based on the analysis of the unstructured natural language information, whether one or more predicted responses are to be provided. The method further includes, in accordance with a determination that one or more predicted responses are to be provided, determining, from a plurality of sets of candidate predicted responses, one set of predicted responses to be provided to the user based on context information. The method further includes providing the determined set of one or more predicted responses to the user.
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公开(公告)号：US10346035B2
公开(公告)日：2019-07-09
申请号：US15275309
申请日：2016-09-23
Applicant: Apple Inc.
Inventor： Mei-Qun Xia , Jannes G. Dolfing , Ryan S. Dixon , Karl M. Groethe , Karan Misra , Jerome R. Bellegarda , Ueli Meier
IPC: G06F3/0488 , G06F3/0482 , G06K9/00 , G06F17/24 , G06F17/27 , G06F3/01
Abstract: Methods, systems, and computer-readable media related to a technique for providing handwriting input functionality on a user device. A handwriting recognition module is trained to have a repertoire comprising multiple non-overlapping scripts and capable of recognizing tens of thousands of characters using a single handwriting recognition model. The handwriting input module provides real-time, stroke-order and stroke-direction independent handwriting recognition for multi-character handwriting input. In particular, real-time, stroke-order and stroke-direction independent handwriting recognition is provided for multi-character, or sentence level Chinese handwriting recognition. User interfaces for providing the handwriting input functionality are also disclosed.
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Patent Agency Ranking
公开(公告)号：US10311144B2
公开(公告)日：2019-06-04
申请号：US15678618
申请日：2017-08-16
Applicant: Apple Inc.
Inventor： Jerome R. Bellegarda , Bishal Barman
IPC: G06F17/27 , G06F3/0481
Abstract: The present disclosure generally relates to systems and processes for emoji word sense disambiguation. In one example process, a word sequence is received. A word-level feature representation is determined for each word of the word sequence and a global semantic representation for the word sequence is determined. For a first word of the word sequence, an attention coefficient is determined based on a congruence between the word-level feature representation of the first word and the global semantic representation for the word sequence. The word-level feature representation of the first word is adjusted based on the attention coefficient. An emoji likelihood is determined based on the adjusted word-level feature representation of the first word. In accordance with the emoji likelihood satisfying one or more criteria, an emoji character corresponding to the first word is presented for display.
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27.发明授权公开(公告)号：US10200824B2
公开(公告)日：2019-02-05
申请号：US15166226
申请日：2016-05-26
Applicant: Apple Inc.
Inventor： Daniel C. Gross , Patrick L. Coffman , Richard R. Dellinger , Christopher P. Foss , Jason J. Gauci , Aria D. Haghighi , Cyrus D. Irani , Bronwyn A. Jones , Gaurav Kapoor , Stephen O. Lemay , Colin C. Morris , Michael R. Siracusa , Lawrence Y. Yang , Brent D. Ramerth , Jerome R. Bellegarda , Jannes G.A. Dolfing , Giulia P. Pagallo , Xin Wang , Jun Hatori , Alexandre R. Moha , Kevin D. Clark , Karl Christian Kohlschuetter , Jesper S. Andersen , Hafid Arras , Alexandre Carlhian , Thomas Deniau , Mathieu J. Martel , Sofiane Toudji
Abstract: Systems and methods for proactively assisting users with accurately locating a parked vehicle are disclosed herein. An example method includes: automatically, and without instructions from a user: determining that a user of the electronic device is in a vehicle that has come to rest at a geographic location. Upon determining that the user has left the vehicle at the geographic location, the method includes automatically, and without instructions from a user: determining whether positioning information, retrieved from the location sensor to identify the geographic location, satisfies accuracy criteria. Upon determining that the positioning information does not satisfy the accuracy criteria, the method includes: providing a prompt to the user to input information about the geographic location. In response to providing the prompt, the method includes receiving information from the user about the geographic location and storing the information as vehicle location information.
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28.发明授权公开(公告)号：US10097973B2
公开(公告)日：2018-10-09
申请号：US15167713
申请日：2016-05-27
Applicant: Apple Inc.
Inventor： Daniel C. Gross , Patrick L. Coffman , Richard R. Dellinger , Christopher P. Foss , Jason J. Gauci , Aria D. Haghighi , Cyrus D. Irani , Bronwyn A. Jones , Gaurav Kapoor , Stephen O. Lemay , Colin C. Morris , Michael R. Siracusa , Lawrence Y. Yang , Brent D. Ramerth , Jerome R. Bellegarda , Jannes G. A. Dolfing , Giulia P. Pagallo , Xin Wang , Jun Hatori , Alexandre R. Moha , Sofiane Toudji , Kevin D. Clark , Karl Christian Kohlschuetter , Jesper S. Andersen , Hafid Arras , Alexandre Carlhian , Thomas Deniau , Mathieu J. Martel
Abstract: Systems and methods for proactively populating an application with information that was previously viewed by a user in a different application are disclosed herein. An example method includes: while displaying a first application, obtaining information identifying a first physical location viewed by a user in the first application. The method also includes exiting the first application and, after exiting the first application, receiving a request from the user to open a second application that is distinct from the first application. In response to receiving the request and in accordance with a determination that the second application is capable of accepting geographic location information, the method includes presenting the second application so that the second application is populated with information that is based at least in part on the information identifying the first physical location.
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公开(公告)号：US09899019B2
公开(公告)日：2018-02-20
申请号：US14841047
申请日：2015-08-31
Applicant: Apple Inc.
Inventor： Jerome R. Bellegarda , Sibel Yaman
IPC: G06F3/023 , G10L15/197 , G10L15/06 , G06F17/27
CPC classification number: G10L15/063 , G06F3/023 , G06F17/276 , G10L15/197
Abstract: Systems and methods are disclosed for predicting words using a structured stem and suffix n-gram language model. The systems and methods include determining, using a first n-gram word language model, a first probability of a stem based on a first portion of a previously-input word in the received input. Using a second n-gram language model, a second probability of a first suffix may be determined based at least on a second portion the previously-input word in the received input. Further, a third probability of a second suffix different from the first suffix may be determined using a third n-gram language model based at least on a third portion of the previously-input word in the received input. A fourth probability of a predicted word may be determined based on the first, second and third probabilities. One or more predicted words may be determined and provided as an output to the user.
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公开(公告)号：US09449239B2
公开(公告)日：2016-09-20
申请号：US14292763
申请日：2014-05-30
Applicant: Apple Inc.
Inventor： Ryan S. Dixon , Ueli Meier , Karl M. Groethe , Jerome R. Bellegarda , Giulia M. Pagallo
CPC classification number: G06K9/186 , G06K9/2081 , G06K9/228 , G06K9/325 , G06K9/72
Abstract: Differing embodiments of this disclosure may employ one or all of the several techniques described herein to perform credit card recognition using electronic devices with integrated cameras. According to some embodiments, the credit card recognition process may comprise: obtaining a first representation of a first image, wherein the first representation comprises a first plurality of pixels; identifying a first credit card region within the first representation; extracting a first plurality of sub-regions from within the identified first credit card region, wherein a first sub-region comprises a credit card number, wherein a second sub-region comprises an expiration date, and wherein a third sub-region comprises a card holder name; generating a predicted character sequence for the first, second, and third sub-regions; and validating the predicted character sequences for at least the first, second, and third sub-regions using various credit card-related heuristics, e.g., expected character sequence length, expected character sequence format, and checksums.
Abstract translation: 本公开的不同实施例可以采用本文所描述的几种技术中的一种或全部，以使用具有集成照相机的电子设备执行信用卡识别。 根据一些实施例，信用卡识别过程可以包括：获得第一图像的第一表示，其中第一表示包括第一多个像素; 识别所述第一表示内的第一信用卡区域; 从所识别的第一信用卡区域内提取第一多个子区域，其中第一子区域包括信用卡号码，其中第二子区域包括到期日期，并且其中第三子区域包括卡 持有人名称; 生成第一，第二和第三子区域的预测字符序列; 以及使用各种信用卡相关启发式，例如预期字符序列长度，期望字符序列格式和校验和来验证至少第一，第二和第三子区域的预测字符序列。
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