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    PARSIMONIOUS HANDLING OF WORD INFLECTION VIA CATEGORICAL STEM + SUFFIX N-GRAM LANGUAGE MODELS
    11.
    发明申请
    PARSIMONIOUS HANDLING OF WORD INFLECTION VIA CATEGORICAL STEM + SUFFIX N-GRAM LANGUAGE MODELS 有权
    通过分类STEM + SUFFIX N-GRAM语言模型进行词汇传播的区别处理

    公开(公告)号：US20160093301A1

    公开(公告)日：2016-03-31

    申请号：US14839806

    申请日：2015-08-28

    Applicant: APPLE INC.

    Inventor： Jerome R. BELLEGARDA ,  Sibel YAMAN

    IPC: G10L15/197

    CPC classification number: G06F17/276 ,  G10L15/197

    Abstract: Systems and processes are disclosed for predicting words using a categorical stem and suffix word n-gram language model. A word prediction includes determining a stem probability using a stem language model. The word prediction also includes determining a suffix probability using suffix language model decoupled from the stem model, in view of one or more stem categories. The word prediction also includes determine a probability of the stem belonging to the stem category. A joint probability is determined based on the foregoing, and one or more word predictions having sufficient likelihood. In this way, the categorical stem and suffix language model constraints predicted suffixes to those that would be grammatically valid with predicted stems, thereby producing word predictions with grammatically valid stem and suffix combinations.

    Abstract translation: 公开了用于使用分类词干和后缀词n-gram语言模型预测单词的系统和过程。 词预测包括使用茎语言模型来确定茎概率。 词预测还包括根据一个或多个词干类别来确定使用从茎模型解耦的后缀语言模型的后缀概率。 词预测还包括确定属于茎类别的茎的概率。 基于上述确定联合概率，并且具有足够可能性的一个或多个单词预测。 以这种方式，分类茎和后缀语言模型约束预测了与语法上有效的预测词干的后缀，从而产生具有语法有效的词干和后缀组合的词预测。

    COMBINED STATISTICAL AND RULE-BASED PART-OF-SPEECH TAGGING FOR TEXT-TO-SPEECH SYNTHESIS
    12.
    发明申请
    COMBINED STATISTICAL AND RULE-BASED PART-OF-SPEECH TAGGING FOR TEXT-TO-SPEECH SYNTHESIS 审中-公开
    用于文本到语音合成的组合统计和基于规则的语音分配标签

    公开(公告)号：US20140324435A1

    公开(公告)日：2014-10-30

    申请号：US14266318

    申请日：2014-04-30

    Applicant: APPLE INC.

    Inventor： Jerome R. BELLEGARDA

    IPC: G10L13/02

    CPC classification number: G10L13/02 ,  G10L13/10

    Abstract: In response to a word of a text sequence, a first part-of-speech (POS) tag is generated using a statistical part-of-speech (POS) tagger based on a corpus of trained text sequences, each representing a likely POS of a word for a given text sequence. A second POS tag is generated using a rule-based POS tagger based on a set of one or more rules associated with a type of an application associated with the text sequence. A final POS tag is assigned to the word of the text sequence for TTS synthesis based on the first POS tag and the second POS tag.

    Abstract translation: 响应于文本序列的单词，使用基于经训练的文本序列的语料库的统计语音（POS）标签器来生成第一语音（POS）标签，每个表示可能的POS 给定文本序列的一个单词。 使用基于规则的POS标签器基于与与文本序列相关联的应用的类型相关联的一个或多个规则的集合来生成第二POS标签。 基于第一POS标签和第二POS标签，将最终的POS标签分配给用于TTS合成的文本序列的单词。

    MULTI-MODAL LANGUAGE INTERPRETATION USING UNIFIED INPUT MODEL
    13.
    发明申请
    MULTI-MODAL LANGUAGE INTERPRETATION USING UNIFIED INPUT MODEL 有权

    公开(公告)号：US20220391585A1

    公开(公告)日：2022-12-08

    申请号：US17411790

    申请日：2021-08-25

    Applicant: Apple Inc.

    Inventor： Jerome R. BELLEGARDA ,  Ojas BAPAT ,  Akash MEHRA

    IPC: G06F40/274 ,  G06F3/0488 ,  G06F40/279 ,  G06F17/18

    Abstract: Systems and processes for multi-modal input interpretation are provided. For example, an input associated with a touch is received from a user. A first reconstruction based on the input is determined. A first simulated input is obtained based on a modification of the input. A second reconstruction is determined based on the first reconstruction and the first simulated input. Based on at least the first reconstruction and the second reconstruction, a probability representation is obtained. An output is determined, by a language model, based on the probability representation. The output is then provided to the user.

    WORD PREDICTION WITH MULTIPLE OVERLAPPING CONTEXTS
    14.
    发明申请
    WORD PREDICTION WITH MULTIPLE OVERLAPPING CONTEXTS 有权

    公开(公告)号：US20220374597A1

    公开(公告)日：2022-11-24

    申请号：US17327415

    申请日：2021-05-21

    Applicant: Apple Inc.

    Inventor： Jerome R. BELLEGARDA ,  Richard Harry STARFIELD

    IPC: G06F40/274 ,  G06F40/242 ,  G06F40/35 ,  G06F3/023

    Abstract: Systems and processes for word prediction using multiple contexts are provided. For example, a plurality of words are received. A first word context including a first plurality of received words, and a second word context corresponding to the first plurality of received words and a second plurality of received words, are obtained. A first current word probability is determined based on a first language model using the first word context. A second current word probability is determined based on a second language model using the second word context. A third current word probability is determined based on the second language model using the first word context. A fourth current word probability is determined based on the first current word probability, the second current word probability, and the third current word probability. An output is provided, to a user, including a current word prediction based on the fourth current word probability.

    MANAGING REAL-TIME HANDWRITING RECOGNITION
    15.
    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.

    SPATIAL AND TEMPORAL SEQUENCE-TO-SEQUENCE MODELING FOR HANDWRITING RECOGNITION
    17.
    发明申请
    SPATIAL AND TEMPORAL SEQUENCE-TO-SEQUENCE MODELING FOR HANDWRITING RECOGNITION 有权

    公开(公告)号：US20210216760A1

    公开(公告)日：2021-07-15

    申请号：US16741384

    申请日：2020-01-13

    Applicant: Apple Inc.

    Inventor： Dominic L. HOWELL ,  Jerome R. BELLEGARDA

    IPC: G06K9/00 ,  G06K9/62 ,  G06F3/0488

    Abstract: An example process for recognizing handwritten input includes obtaining input data representing handwritten input, where the handwritten input is associated with a first dimension and a second dimension relative to the handwritten input; sampling the input data to obtain a plurality of coordinates representing the handwritten input; determining, based on the plurality of coordinates, a sequence of vectors representing a respective plurality of portions of the handwritten input, where: each portion of the respective plurality of portions is associated with a respective height and width corresponding respectively to the first and second dimensions, the respective height being greater than the respective width; and consecutive vectors of the sequence of vectors represent respective consecutive portions of the handwritten input; generating, using a handwriting recognition model, based on the sequence of vectors, one or more characters for the handwritten input; and causing the one or more characters to be displayed.

    MANAGING REAL-TIME HANDWRITING RECOGNITION
    19.
    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
    20.
    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.

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