公开(公告)号：US20210400019A1

公开(公告)日：2021-12-23

申请号：US17353690

申请日：2021-06-21

Applicant: Apple Inc.

Inventor： Ivan KRSTIC ,  Damien P. SORRESSO ,  David P REMAHL ,  Elliot C. LISKIN ,  Justin S. HOGG ,  Kevin J. LINDEMAN ,  Lucia E. BALLARD ,  Nicholas J. CIRCOSTA ,  Richard J. COOPER ,  Ryan A. WILLIAMS ,  Steven C. VITTITOE ,  Zachariah J. RIGGLE ,  Patrick R. METCALFE ,  Andrew T. WHITEHEAD

IPC: H04L29/06 ,  H04L12/58

Abstract: The subject disclosure provides systems and methods for application-specific network data filtering. Application-specific network data filtering may be performed by a sandboxed process prior to providing the network data to an application to which the network data is directed. Any malicious or otherwise potentially harmful data that is included in the network data may be removed by the application-specific network data filter or may be allowed to corrupt the application specific network data filtering operations within the sandbox, thereby preventing the malicious or harmful data from affecting the application or other portions of an electronic device. In one or more implementations, a first process such as an application-specific network data filtering process may request allocation of memory for the first process from second process, such as an application, that is separate from a memory manager of the electronic device.

公开(公告)号：US20150347383A1

公开(公告)日：2015-12-03

申请号：US14724641

申请日：2015-05-28

Applicant: Apple Inc.

Inventor： Christopher P. WILLMORE ,  Nicholas K. JONG ,  Justin S. HOGG

IPC: G06F17/27

CPC classification number: G06F17/276

Abstract: Systems and processes are disclosed for predicting words in a text entry environment. Candidate words and probabilities associated therewith can be determined by combining a word n-gram language model and a unigram language model. Using the word n-gram language model, based on previously entered words, candidate words can be identified and a probability can be calculated for each candidate word. Using the unigram language model, based on a character entered for a new word, candidate words beginning with the character can be identified along with a probability for each candidate word. In some examples, a geometry score can be included in the unigram probability related to typing geometry on a virtual keyboard. The probabilities of the n-gram language model and unigram model can be combined, and the candidate word or words having the highest probability can be displayed for a user.

Abstract translation: 公开了用于在文本输入环境中预测单词的系统和过程。 可以通过组合单词n-gram语言模型和unigram语言模型来确定与之相关联的候选词和概率。 使用单词n-gram语言模型，基于先前输入的单词，可以识别候选词，并且可以为每个候选词计算概率。 使用单字语言模型，基于为新词输入的字符，可以识别以字符开头的候选词以及每个候选词的概率。 在一些示例中，几何分数可以包括在与虚拟键盘上的打字几何相关的单位格概率中。 可以组合n-gram语言模型和单格式模型的概率，并且可以为用户显示具有最高概率的候选词或词。

公开(公告)号：US20240380735A1

公开(公告)日：2024-11-14

申请号：US18783400

申请日：2024-07-24

Applicant: Apple Inc.

Inventor： Ivan KRSTIC ,  Damien P. SORRESSO ,  David P. REMAHL ,  Elliot C. LISKIN ,  Justin S. HOGG ,  Kevin J. LINDEMAN ,  Lucia E. BALLARD ,  Nicholas J. CIRCOSTA ,  Richard J. COOPER ,  Ryan A. WILLIAMS ,  Steven C. VITTITOE ,  Zachariah J. RIGGLE ,  Patrick R. METCALFE ,  Andrew T. WHITEHEAD

IPC: H04L9/40 ,  H04L51/212

Abstract: The subject disclosure provides systems and methods for application-specific network data filtering. Application-specific network data filtering may be performed by a sandboxed process prior to providing the network data to an application to which the network data is directed. Any malicious or otherwise potentially harmful data that is included in the network data may be removed by the application-specific network data filter or may be allowed to corrupt the application specific network data filtering operations within the sandbox, thereby preventing the malicious or harmful data from affecting the application or other portions of an electronic device. In one or more implementations, a first process such as an application-specific network data filtering process may request allocation of memory for the first process from second process, such as an application, that is separate from a memory manager of the electronic device.

公开(公告)号：US20170357632A1

公开(公告)日：2017-12-14

申请号：US15270711

申请日：2016-09-20

Applicant: Apple Inc.

Inventor： Giulia PAGALLO ,  Jerome R. BELLEGARDA ,  Vivek Kumar RANGARAJAN SRIDHAR ,  Randal J. MARSDEN ,  Justin S. HOGG

IPC: G06F17/27 ,  G06F17/28 ,  G06F3/0488

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, identifying context information of the electronic device and generating, with the one or more processors, a plurality of candidate words based on the context information, wherein a first candidate word of the plurality of candidate words corresponds to a first language of a plurality of languages and a second candidate word of the plurality of candidate words corresponds to a second language of the plurality of languages different than the first language.