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    CORRECTING INPUT BASED ON USER CONTEXT
    1.
    发明申请
    CORRECTING INPUT BASED ON USER CONTEXT 有权

    公开(公告)号：US20220366137A1

    公开(公告)日：2022-11-17

    申请号：US17683179

    申请日：2022-02-28

    Applicant: Apple Inc.

    Inventor： Jason J. Ivan ,  Christopher S. Linn ,  Douglas R. Davidson

    IPC: G06F40/274 ,  G06F16/33 ,  G06F40/211 ,  G06F40/242 ,  G06F40/279

    Abstract: In some implementations, a computing device can generate user input correction suggestions based on the user's context. For example, the user's context can include content that the user has open or has recently opened on the computing device or another computing device. For example, when the user opens an item of content, the computing device can generate a context dictionary that includes words, phrases, etc., that describe the opened content. When the user provides input (e.g., text, speech, etc.) the computing device can use the context dictionary to generate input correction suggestions. The computing device can synchronize the context dictionary with other computing devices that the user may be using so that the user's context on one device can be used by another device to generate input correction suggestions.

    Text correction
    2.
    发明授权
    Text correction 有权

    公开(公告)号：US11386266B2

    公开(公告)日：2022-07-12

    申请号：US16114673

    申请日：2018-08-28

    Applicant: Apple Inc.

    Inventor： Douglas R. Davidson ,  Bishal Barman ,  Vivek Kumar Rangarajan Sridhar

    IPC: G06F40/232 ,  G06F16/33 ,  G06F40/284 ,  G06F40/253 ,  G10L15/26

    Abstract: The present disclosure generally relates to text correction and generating text correction models. In an example process for text correction, text input is received. In response to receiving the text input, a text string corresponding to the text input is displayed. The text string is represented by a token sequence. The process determines whether an end of the token sequence corresponds to a text boundary. In accordance with a determination that the end of the token sequence corresponds to a text boundary, the process determines, based on a context state of the token sequence, one or more textual errors at one or more tokens of the token sequence. An error indication for a portion of the text string corresponding to the one or more tokens is displayed.

    Multilingual word prediction
    3.
    发明授权
    Multilingual word prediction 有权

    公开(公告)号：US10067938B2

    公开(公告)日：2018-09-04

    申请号：US15383679

    申请日：2016-12-19

    Applicant: Apple Inc.

    Inventor： Jerome R. Bellegarda ,  Douglas R. Davidson

    IPC: G06F17/27 ,  G06F17/28

    CPC classification number: G06F17/289 ,  G06F17/275 ,  G06F17/2775 ,  G06F17/279

    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, receiving context information associated with a current word; determining, for each of a plurality of languages, a set of monolingual probabilities based on the context information; determining a set of language weights based on the context information; determining a set of multilingual probabilities based on the respective sets of monolingual probabilities and the set of language weights; and providing a plurality of candidate words based on the set of multilingual probabilities.

    Automatic Language Identification for Dynamic Text Processing
    5.
    发明申请
    Automatic Language Identification for Dynamic Text Processing 审中-公开
    动态文本处理的自动语言识别

    公开(公告)号：US20130346065A1

    公开(公告)日：2013-12-26

    申请号：US13914504

    申请日：2013-06-10

    Applicant: Apple Inc.

    Inventor： Douglas R. Davidson ,  Ali Ozer

    IPC: G06F17/27

    CPC classification number: G06F17/275 ,  G06F17/273 ,  G06F17/2881

    Abstract: Methods and systems which utilize, in one embodiment, automatic language identification, including automatic language identification for dynamic text processing. In at least certain embodiments, automatic language identification can be applied to spellchecking in real time as the user types.

    Abstract translation: 在一个实施例中使用自动语言识别的方法和系统，包括用于动态文本处理的自动语言识别。 在至少某些实施例中，自动语言识别可以应用于用户类型的实时拼写检查。

    Correcting input based on user context
    7.
    发明授权
    Correcting input based on user context 有权

    公开(公告)号：US11263399B2

    公开(公告)日：2022-03-01

    申请号：US15702587

    申请日：2017-09-12

    Applicant: Apple Inc.

    Inventor： Jason J. Ivan ,  Christopher S. Linn ,  Douglas R. Davidson

    IPC: G06F3/048 ,  G06F40/274 ,  G06F16/33 ,  G06F40/211 ,  G06F40/242 ,  G06F40/279 ,  G06F3/04842

    Abstract: In some implementations, a computing device can generate user input correction suggestions based on the user's context. For example, the user's context can include content that the user has open or has recently opened on the computing device or another computing device. For example, when the user opens an item of content, the computing device can generate a context dictionary that includes words, phrases, etc., that describe the opened content. When the user provides input (e.g., text, speech, etc.) the computing device can use the context dictionary to generate input correction suggestions. The computing device can synchronize the context dictionary with other computing devices that the user may be using so that the user's context on one device can be used by another device to generate input correction suggestions.

    Correcting Input Based on User Context
    8.
    发明申请
    Correcting Input Based on User Context 审中-公开

    公开(公告)号：US20190034405A1

    公开(公告)日：2019-01-31

    申请号：US15702587

    申请日：2017-09-12

    Applicant: Apple Inc.

    Inventor： Jason J. Ivan ,  Christopher S. Linn ,  Douglas R. Davidson

    IPC: G06F17/27 ,  G06F17/30

    Abstract: In some implementations, a computing device can generate user input correction suggestions based on the user's context. For example, the user's context can include content that the user has open or has recently opened on the computing device or another computing device. For example, when the user opens an item of content, the computing device can generate a context dictionary that includes words, phrases, etc., that describe the opened content. When the user provides input (e.g., text, speech, etc.) the computing device can use the context dictionary to generate input correction suggestions. The computing device can synchronize the context dictionary with other computing devices that the user may be using so that the user's context on one device can be used by another device to generate input correction suggestions.

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