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    EFFICIENT WORD ENCODING FOR RECURRENT NEURAL NETWORK LANGUAGE MODELS
    1.
    发明申请
    EFFICIENT WORD ENCODING FOR RECURRENT NEURAL NETWORK LANGUAGE MODELS 审中-公开

    公开(公告)号：US20170091169A1

    公开(公告)日：2017-03-30

    申请号：US15141660

    申请日：2016-04-28

    Applicant: Apple Inc.

    Inventor： Jerome R. BELLEGARDA ,  Jannes G. DOLFING

    IPC: G06F17/27 ,  G10L15/16 ,  G06F17/30

    CPC classification number: G06F17/276 ,  G06F16/353 ,  G06N3/0445 ,  G06N5/022 ,  G10L15/16 ,  G10L15/183

    Abstract: Systems and processes for word encoding are provided. In accordance with one example, a method includes, at an electronic device with one or more processors and memory, receiving a user input, determining a first similarity between a representation of the user input and a first acoustic model of a plurality of acoustic models, and determining a second similarity between the representation of the user input and a second acoustic model of the plurality of acoustic models. The method further includes determining whether the first similarity is greater than the second similarity. In accordance with a determination that the first similarity is greater than the second similarity, the first acoustic model may be selected; and in accordance with a determination that the first similarity is not greater than the second similarity, the second acoustic model may be selected.

    UNIFIED LANGUAGE MODELING FRAMEWORK FOR WORD PREDICTION, AUTO-COMPLETION AND AUTO-CORRECTION
    2.
    发明申请
    UNIFIED LANGUAGE MODELING FRAMEWORK FOR WORD PREDICTION, AUTO-COMPLETION AND AUTO-CORRECTION 审中-公开

    公开(公告)号：US20170091168A1

    公开(公告)日：2017-03-30

    申请号：US15141645

    申请日：2016-04-28

    Applicant: Apple Inc.

    Inventor： Jerome R. BELLEGARDA ,  Jannes G. DOLFING

    IPC: G06F17/27 ,  G06N3/08 ,  G06F17/22

    CPC classification number: G06F17/276 ,  G06N3/0445 ,  G06N3/0454 ,  G06N5/022

    Abstract: Systems and processes for unified language modeling are provided. In accordance with one example, a method includes, at an electronic device with one or more processors and memory, receiving a character of a sequence of characters and determining a current character context based on the received character of the sequence of characters and a previous character context. The method further includes determining a current word representation based on the current character context and determining a current word context based on the current word representation and a previous word context. The method further includes determining a next word representation based on the current word context and providing the next word representation.

    INTEGRATING STROKE-DISTRIBUTION INFORMATION INTO SPATIAL FEATURE EXTRACTION FOR AUTOMATIC HANDWRITING RECOGNITION
    3.
    发明申请
    INTEGRATING STROKE-DISTRIBUTION INFORMATION INTO SPATIAL FEATURE EXTRACTION FOR AUTOMATIC HANDWRITING RECOGNITION 审中-公开
    将分布式信息集成到空间特征提取中，用于自动手写识别

    公开(公告)号：US20140363082A1

    公开(公告)日：2014-12-11

    申请号：US14291722

    申请日：2014-05-30

    Applicant: Apple Inc.

    Inventor： Ryan S. DIXON ,  Jannes G. DOLFING ,  Ueli MEIER ,  Jerome R. BELLEGARDA

    IPC: G06K9/66 ,  G06K9/18

    CPC classification number: G06K9/00409 ,  G06K9/00402

    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. In some embodiments, temporally-derived features are used to improve recognition accuracy without compromising the stroke-order and stroke-direction independence of the recognition system.

    Abstract translation: 与用于在用户设备上提供手写输入功能的技术相关的方法，系统和计算机可读介质。 训练手写识别模块以具有包括多个非重叠脚本的节目，并且能够使用单个手写识别模型识别成千上万个字符。 手写输入模块提供实时，笔顺和笔画方向独立的手写识别。 在一些实施例中，使用时间推导的特征来提高识别精度，而不损害识别系统的笔画顺序和笔划方向独立性。

    MANAGING REAL-TIME HANDWRITING RECOGNITION
    4.
    发明申请
    MANAGING REAL-TIME HANDWRITING RECOGNITION 有权

    公开(公告)号：US20220083216A1

    公开(公告)日：2022-03-17

    申请号：US17532899

    申请日：2021-11-22

    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 ,  G06K9/00 ,  G06F3/01 ,  G06F40/166 ,  G06F40/274 ,  G06F3/0482

    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.

    MANAGING REAL-TIME HANDWRITING RECOGNITION
    5.
    发明申请
    MANAGING REAL-TIME HANDWRITING RECOGNITION 审中-公开

    公开(公告)号：US20190332259A1

    公开(公告)日：2019-10-31

    申请号：US16505044

    申请日：2019-07-08

    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 ,  G06F17/27 ,  G06F17/24 ,  G06F3/0482 ,  G06K9/00 ,  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.

    DATA DRIVEN NATURAL LANGUAGE EVENT DETECTION AND CLASSIFICATION
    6.
    发明申请
    DATA DRIVEN NATURAL LANGUAGE EVENT DETECTION AND CLASSIFICATION 审中-公开

    公开(公告)号：US20170357716A1

    公开(公告)日：2017-12-14

    申请号：US15269721

    申请日：2016-09-19

    Applicant: Apple Inc.

    Inventor： Jerome R. BELLEGARDA ,  Mathieu Jean MARTEL ,  Alexandre CARLHIAN ,  Antoine VINEL ,  Jannes G. DOLFING ,  Sabrine REKIK ,  Markus BERGET ,  Hafid ARRAS

    IPC: G06F17/30

    Abstract: Systems and processes for operating a digital assistant are provided. In accordance with one or more examples, a method includes, at a user device with one or more processors and memory, receiving unstructured natural language information from at least one user. The method also includes, in response to receiving the unstructured natural language information, determining whether event information is present in the unstructured natural language information. The method further includes, in accordance with a determination that event information is present within the unstructured natural language information, determining whether an agreement on an event is present in the unstructured natural language information. The method further includes, in accordance with a determination that an agreement on an event is present, determining an event type of the event and providing an event description based on the event type.

    MANAGING REAL-TIME HANDWRITING RECOGNITION
    7.
    发明申请
    MANAGING REAL-TIME HANDWRITING RECOGNITION 审中-公开

    公开(公告)号：US20200174658A1

    公开(公告)日：2020-06-04

    申请号：US16782380

    申请日：2020-02-05

    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 ,  G06K9/00 ,  G06F3/01 ,  G06F40/166 ,  G06F40/274 ,  G06F3/0482

    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.

    LANGUAGE IDENTIFICATION USING RECURRENT NEURAL NETWORKS
    8.
    发明申请
    LANGUAGE IDENTIFICATION USING RECURRENT NEURAL NETWORKS 审中-公开

    公开(公告)号：US20180067918A1

    公开(公告)日：2018-03-08

    申请号：US15717837

    申请日：2017-09-27

    Applicant: Apple Inc.

    Inventor： Jerome R. BELLEGARDA ,  Jannes G. DOLFING

    IPC: G06F17/27 ,  G10L25/30

    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.

    MANAGING REAL-TIME HANDWRITING RECOGNITION
    9.
    发明申请
    MANAGING REAL-TIME HANDWRITING RECOGNITION 有权
    管理实时手写识别

    公开(公告)号：US20140365949A1

    公开(公告)日：2014-12-11

    申请号：US14290935

    申请日：2014-05-29

    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

    CPC classification number: G06F3/04883 ,  G06F3/018 ,  G06F3/0482 ,  G06F17/24 ,  G06F17/276 ,  G06K9/00416 ,  G06K9/00422 ,  G06K9/00436

    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.

    Abstract translation: 与用于在用户设备上提供手写输入功能的技术相关的方法，系统和计算机可读介质。 训练手写识别模块以具有包括多个非重叠脚本的节目，并且能够使用单个手写识别模型识别成千上万个字符。 手写输入模块为多字符手写输入提供实时，笔顺和笔迹方向独立的手写识别。 特别地，为多字符或句子级中文手写识别提供实时，笔顺和笔画方向独立的手写识别。 还公开了用于提供手写输入功能的用户界面。

    REAL-TIME STROKE-ORDER AND STROKE-DIRECTION INDEPENDENT HANDWRITING RECOGNITION
    10.
    发明申请
    REAL-TIME STROKE-ORDER AND STROKE-DIRECTION INDEPENDENT HANDWRITING RECOGNITION 审中-公开
    实时追踪和追踪方式独立手写识别

    公开(公告)号：US20140361983A1

    公开(公告)日：2014-12-11

    申请号：US14292138

    申请日：2014-05-30

    Applicant: Apple Inc.

    Inventor： Jannes G. DOLFING ,  Jerome R. BELLEGARDA ,  Ueli MEIER ,  Ryan DIXON

    IPC: G06F3/0488 ,  G06K9/00 ,  G06F3/01

    CPC classification number: G06F3/04883 ,  G06F3/018 ,  G06K9/00402

    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.

    Abstract translation: 与用于在用户设备上提供手写输入功能的技术相关的方法，系统和计算机可读介质。 训练手写识别模块以具有包括多个非重叠脚本的节目，并且能够使用单个手写识别模型识别成千上万个字符。 手写输入模块为多字符手写输入提供实时，笔顺和笔迹方向独立的手写识别。 特别地，为多字符或句子级中文手写识别提供实时，笔顺和笔画方向独立的手写识别。 还公开了用于提供手写输入功能的用户界面。

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