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公开(公告)号：US20180336184A1
公开(公告)日：2018-11-22
申请号：US15678618
申请日：2017-08-16
Applicant: Apple Inc.
Inventor： Jerome R. BELLEGARDA , Bishal BARMAN
IPC: G06F17/27 , G06F3/0481
CPC classification number: G06F17/2785 , G06F3/04817
Abstract: The present disclosure generally relates to systems and processes for emoji word sense disambiguation. In one example process, a word sequence is received. A word-level feature representation is determined for each word of the word sequence and a global semantic representation for the word sequence is determined. For a first word of the word sequence, an attention coefficient is determined based on a congruence between the word-level feature representation of the first word and the global semantic representation for the word sequence. The word-level feature representation of the first word is adjusted based on the attention coefficient. An emoji likelihood is determined based on the adjusted word-level feature representation of the first word. In accordance with the emoji likelihood satisfying one or more criteria, an emoji character corresponding to the first word is presented for display.
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公开(公告)号：US20180322112A1
公开(公告)日：2018-11-08
申请号：US15673587
申请日：2017-08-10
Applicant: Apple Inc.
Inventor： Jerome R. BELLEGARDA , Jannes G. DOLFING , Xin WANG
CPC classification number: G06F17/276 , G06F17/2217 , G06F17/2735 , G06F17/2818
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.
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Patent Agency Ranking
公开(公告)号：US20170357640A1
公开(公告)日：2017-12-14
申请号：US15383679
申请日：2016-12-19
Applicant: Apple Inc.
Inventor： Jerome R. BELLEGARDA , Douglas R. DAVIDSON
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.
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公开(公告)号：US20170010802A1
公开(公告)日：2017-01-12
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
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。
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公开(公告)号：US20160357728A1
公开(公告)日：2016-12-08
申请号：US14845180
申请日：2015-09-03
Applicant: Apple Inc.
Inventor： Jerome R. BELLEGARDA , Bishal BARMAN
IPC: G06F17/27
CPC classification number: G06F17/275 , G06F17/2785 , G06F17/289 , G10L15/26
Abstract: Systems and processes for language identification from short strings are provided. In accordance with one example, a method includes, at a first electronic device with one or more processors and memory, receiving user input including an n-gram and determining a similarity between a representation of the n-gram and a representation of a first language. The representation of the first language is based on an occurrence of each of a plurality of n-grams in the first language and an occurrence of each of the plurality of n-grams in a second language. The method further includes determining whether the similarity between the representation of the n-gram and the representation of the first language satisfies a threshold.
Abstract translation: 提供了用于短串语言识别的系统和过程。 根据一个示例，一种方法包括在具有一个或多个处理器和存储器的第一电子设备处接收包括n-gram的用户输入并且确定n-gram的表示和第一语言的表示之间的相似性 。 第一语言的表示基于第一语言中的多个n-gram中的每一个的出现以及以第二语言出现的多个n-gram中的每一个。 该方法还包括确定n-gram的表示与第一语言的表示之间的相似性是否满足阈值。
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公开(公告)号：US20160343377A1
公开(公告)日：2016-11-24
申请号：US14977494
申请日：2015-12-21
Applicant: Apple Inc.
Inventor： Jerome R. BELLEGARDA , Kim E.A. SILVERMAN
Abstract: A method and system for training a user authentication by voice signal are described. In one embodiment, a set of feature vectors are decomposed into speaker specific recognition units. The speaker-specific recognition units are used to compute distribution values to train the voice signal. In addition, spectral feature vectors are decomposed into speaker-specific characteristic units which are compared to the speaker-specific distribution values. If the speaker-specific characteristic units are within a threshold limit of the speaker-specific distribution values, the speech signal is authenticated.
Abstract translation: 描述了通过语音信号训练用户认证的方法和系统。 在一个实施例中，一组特征向量被分解成说话者特定识别单元。 扬声器特定识别单元用于计算分配值以训练语音信号。 此外，频谱特征向量被分解成与特定于扬声器的分布值相比较的扬声器特定特征单元。 如果扬声器特有特征单元在扬声器特定分布值的阈值限度内，则认证语音信号。
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公开(公告)号：US20140363083A1
公开(公告)日：2014-12-11
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
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.
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