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    Multi-task recurrent neural network architecture for efficient morphology handling in neural language modeling
    11.
    发明授权
    Multi-task recurrent neural network architecture for efficient morphology handling in neural language modeling 有权

    公开(公告)号：US10657328B2

    公开(公告)日：2020-05-19

    申请号：US15851487

    申请日：2017-12-21

    Applicant: Apple Inc.

    Inventor： Jerome R. Bellegarda ,  Jannes G. Dolfing

    IPC: G06F40/205 ,  G06F40/274 ,  G10L25/30 ,  G06F40/30 ,  G06F40/253 ,  G06F40/268

    Abstract: The present disclosure generally relates to systems and processes for morpheme-based word prediction. An example method includes receiving a current word; determining a context of the current word based on the current word and a context of a previous word; determining, using a morpheme-based language model, a likelihood of a prefix based on the context of the current word; determining, using the morpheme-based language model, a likelihood of a stem based on the context of the current word; determining, using the morpheme-based language model, a likelihood of a suffix based on the context of the current word; determining a next word based on the likelihood of the prefix, the likelihood of the stem, and the likelihood of the suffix; and providing an output including the next word.

    Unified framework for text conversion and prediction
    12.
    发明授权
    Unified framework for text conversion and prediction 有权

    公开(公告)号：US10282416B2

    公开(公告)日：2019-05-07

    申请号：US15673587

    申请日：2017-08-10

    Applicant: Apple Inc.

    Inventor： Jerome R. Bellegarda ,  Jannes G. Dolfing ,  Xin Wang

    IPC: G06F17/27 ,  G06F17/28 ,  G06F17/22

    Abstract: The present disclosure generally relates to integrated text conversion and prediction. In an example process, a current character input of a first writing system is received. A first current character context in the first writing system is determined based on the current character input and a first previous character context in the first writing system. A second current character context in a second writing system is determined based on the first current character context, a second previous character context in the second writing system, and a character representation in the second writing system. A current word context in the second writing system is determined based on the second current character context, a previous word context in the second writing system, and a word representation in the second writing system. Based on the current word context, a probability distribution over a word inventory in the second writing system is determined.

    MANAGING REAL-TIME HANDWRITING RECOGNITION
    13.
    发明申请
    MANAGING REAL-TIME HANDWRITING RECOGNITION 审中-公开

    公开(公告)号：US20180173415A1

    公开(公告)日：2018-06-21

    申请号：US15898025

    申请日：2018-02-15

    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 ,  G06F17/24 ,  G06F3/0482 ,  G06F17/27

    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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