中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

56 records (took 0.043 seconds)

    Integrated word N-gram and class M-gram language models
    41.
    发明授权
    Integrated word N-gram and class M-gram language models 有权

    公开(公告)号：US09606986B2

    公开(公告)日：2017-03-28

    申请号：US14503370

    申请日：2014-09-30

    Applicant: Apple Inc.

    Inventor： Jerome R. Bellegarda

    IPC: G06F17/27 ,  G06F17/28

    CPC classification number: G06F17/279 ,  G06F17/2715 ,  G06F17/289

    Abstract: Systems and processes for discourse input processing are provided. In one example process, a discourse input can be received from a user. An integrated probability of a candidate word in the discourse input and one or more subclasses associated with the candidate word can be determined based on a conditional probability of the candidate word given one or more words in the discourse input, a probability of the candidate word within a corpus, and a conditional probability of the candidate word given one or more classes associated with the one or more words. A text string corresponding to the discourse input can be determined based on the integrated probability. An output based on the text string can be generated.

    Managing real-time handwriting recognition
    43.
    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。

    Automatic grammar detection and correction
    45.
    发明授权
    Automatic grammar detection and correction 有权

    公开(公告)号：US11544458B2

    公开(公告)日：2023-01-03

    申请号：US16746009

    申请日：2020-01-17

    Applicant: Apple Inc.

    Inventor： Jerome R. Bellegarda ,  Bishal Barman ,  Douglas Davidson

    IPC: G06F40/253 ,  G06F40/30

    Abstract: Systems and processes for operating an intelligent automated assistant are provided. In one example process a set of words including a grammatical error is received. The process can generate, using a neural network based on the set of words including the grammatical error and a reference set of words, a transformed set of words and further determine, based on the set of words including the grammatical error and the reference set of words, a reconstructed reference set of words. The process can also determine, based on a comparison of the transformed set of words and the reconstructed reference set of words, whether the transformed set of words is grammatically correct and provide an indication of whether the transformed set of words is grammatically correct to the neural network.

    Sanitizing word predictions
    46.
    发明授权
    Sanitizing word predictions 有权

    公开(公告)号：US11295088B2

    公开(公告)日：2022-04-05

    申请号：US16689831

    申请日：2019-11-20

    Applicant: Apple Inc.

    Inventor： Jerome R. Bellegarda

    IPC: G06F40/30 ,  G06F40/274 ,  G06F3/02 ,  G10L15/22 ,  G10L15/26 ,  G06F3/023 ,  G10L15/18 ,  G06F3/16

    Abstract: Systems and processes for modifying word predictions are provided. In one example, a user input is received including one or more words. A prediction of a word sequence corresponding to one or more words is obtained, and context information associated with the word sequence is obtained. In accordance with a determination, based on the context information, that the prediction of the word sequence corresponds to a predetermined semantic reference, the prediction of the word sequence is modified, and an output is provided corresponding to the modified prediction of the word sequence. In accordance with a determination, based on the context information, that the prediction of the word sequence does not correspond to a predetermined semantic reference, an output is provided corresponding to the prediction of the word sequence.

    Unified language modeling framework for word prediction, auto-completion and auto-correction
    47.
    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
    49.
    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.

    Techniques for automatically sorting emails into folders
    50.
    发明授权
    Techniques for automatically sorting emails into folders 有权

    公开(公告)号：US10511558B2

    公开(公告)日：2019-12-17

    申请号：US15707510

    申请日：2017-09-18

    Applicant: Apple Inc.

    Inventor： Jerome R. Bellegarda

    IPC: G06F17/24 ,  H04L12/58 ,  G06Q10/10

    Abstract: The embodiments set forth techniques for sorting emails within an email application. The technique can include: (1) accessing a plurality of emails, where each email is included in a respective folder of one or more folders, (2) establishing a set of n-grams based on the plurality of emails, (3) for each n-gram in the set of n-grams: calculating a respective normalized entropy for the n-gram, and calculating a respective indexing power for the n-gram based on its respective normalized entropy, (4) ranking the n-grams based on their respective indexing powers to establish a ranked list of n-grams, and (5) establishing, for each folder of the one or more folders, a respective set of high-value n-grams based on the ranked list of n-grams. In turn, the high-value n-grams can be compared against n-grams of a new email to identify a target folder into which the new email should be sorted.

Patent Agency Ranking