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    Efficient word encoding for recurrent neural network language models
    1.
    发明授权
    Efficient word encoding for recurrent neural network language models 有权

    公开(公告)号：US10366158B2

    公开(公告)日：2019-07-30

    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 ,  G06F16/35 ,  G06N3/02 ,  G10L15/183

    Abstract: Systems and processes for efficient 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 including a word sequence, and providing a representation of a current word of the word sequence. The representation of the current word may be indicative of a class of a plurality of classes and a word associated with the class. The method further includes determining a current word context based on the representation of the current word and a previous word context, and providing a representation of a next word of the word sequence. The representation of the next word of the word sequence may be based on the current word context. The method further includes displaying, proximate to the user input, the next word of the word sequence.

    Managing real-time handwriting recognition
    3.
    发明授权
    Managing real-time handwriting recognition 有权
    管理实时手写识别

    公开(公告)号：US09465985B2

    公开(公告)日：2016-10-11

    申请号：US14290945

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

    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。

    Language identification using recurrent neural networks
    4.
    发明授权
    Language identification using recurrent neural networks 有权

    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

    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
    5.
    发明授权
    Managing real-time handwriting recognition 有权

    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.

    Unified language modeling framework for word prediction, auto-completion and auto-correction
    7.
    发明授权
    Unified language modeling framework for word prediction, auto-completion and auto-correction 有权

    公开(公告)号：US11010550B2

    公开(公告)日：2021-05-18

    申请号：US15141645

    申请日：2016-04-28

    Applicant: Apple Inc.

    Inventor： Jerome R. Bellegarda ,  Jannes G. Dolfing

    IPC: G06F40/274 ,  G06N5/02 ,  G06N3/04

    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.

    Data driven natural language event detection and classification
    9.
    发明授权
    Data driven natural language event detection and classification 有权

    公开(公告)号：US10521466B2

    公开(公告)日：2019-12-31

    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: G06F16/35 ,  G06F16/34 ,  G06F16/335 ,  G06F16/332

    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
    10.
    发明授权
    Managing real-time handwriting recognition 有权

    公开(公告)号：US11016658B2

    公开(公告)日：2021-05-25

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

    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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