Techniques for providing visual translation cards including contextually relevant definitions and examples

    公开(公告)号:US09852131B2

    公开(公告)日:2017-12-26

    申请号:US14714439

    申请日:2015-05-18

    Applicant: Google Inc.

    CPC classification number: G06F17/289 G06F17/2735 G06F17/28 G06F17/30244

    Abstract: Computer-implemented techniques can include receiving a selected word in a source language, obtaining one or more parts of speech for the selected word, and for each of the one or more parts-of-speech, obtaining candidate translations of the selected word to a different target language, each candidate translation corresponding to a particular semantic meaning of the selected word. The techniques can include for each semantic meaning of the selected word: obtaining an image corresponding to the semantic meaning of the selected word, and compiling translation information including (i) the semantic meaning, (ii) a corresponding part-of-speech, (iii) the image, and (iv) at least one corresponding candidate translation. The techniques can also include outputting the translation information.

    TECHNIQUES FOR DISTRIBUTED OPTICAL CHARACTER RECOGNITION AND DISTRIBUTED MACHINE LANGUAGE TRANSLATION

    公开(公告)号:US20150310291A1

    公开(公告)日:2015-10-29

    申请号:US14264327

    申请日:2014-04-29

    Applicant: GOOGLE INC.

    CPC classification number: G06K9/18 G06F17/289 G06K9/22 G06K9/325 G06K2209/01

    Abstract: A technique for selectively distributing OCR and/or machine language translation tasks between a mobile computing device and server(s) includes receiving, at the mobile computing device, an image of an object comprising a text. The mobile computing device can determine a degree of optical character recognition (OCR) complexity for obtaining the text from the image. Based on this degree of OCR complexity, the mobile computing device and/or the server(s) can perform OCR to obtain an OCR text. The mobile computing device can then determine a degree of translation complexity for translating the OCR text from its source language to a target language. Based on this degree of translation complexity, the mobile computing device and/or the server(s) can perform machine language translation of the OCR text from the source language to a target language to obtain a translated OCR text. The mobile computing device can then output the translated OCR text.

    TECHNIQUES FOR REAL-TIME TRANSLATION OF A MEDIA FEED FROM A SPEAKER COMPUTING DEVICE AND DISTRIBUTION TO MULTIPLE LISTENER COMPUTING DEVICES IN MULTIPLE DIFFERENT LANGUAGES
    5.
    发明申请
    TECHNIQUES FOR REAL-TIME TRANSLATION OF A MEDIA FEED FROM A SPEAKER COMPUTING DEVICE AND DISTRIBUTION TO MULTIPLE LISTENER COMPUTING DEVICES IN MULTIPLE DIFFERENT LANGUAGES 有权
    用于实时翻译从扬声器计算设备馈送的媒体并分发到多种不同语言中的多个听筒计算设备的技术

    公开(公告)号:US20150347395A1

    公开(公告)日:2015-12-03

    申请号:US14289928

    申请日:2014-05-29

    Applicant: Google Inc.

    CPC classification number: G06F17/30743 G06F17/2827 G06F17/2872 G06F17/289

    Abstract: A computer-implemented technique can include receiving a media feed from a speaker computing device representing speech of a speaker user captured by the speaker computing device. The technique can include receiving a plurality of translation requests, each translation request being received from a listener computing device associated with a listener user and corresponding to a request to obtain a translated version of the media feed into a preferred language of the listener user. The technique can include determining the preferred language for each listener user. The technique can include obtaining a machine translated media feed for each of the translation requests, the machine translated media feed corresponding to a translation of the media feed from the source language to the preferred language of the listener user associated with the translation request. The technique can also include outputting the machine translated media feeds to the listener computing devices.

    Abstract translation: 计算机实现的技术可以包括从扬声器计算设备接收表示由扬声器计算设备捕获的扬声器用户的语音的媒体馈送。 该技术可以包括接收多个翻译请求,每个翻译请求都是从与收听者用户相关联的收听者计算设备接收的,并且对应于获得媒体馈送到倾听者用户的首选语言的翻译版本的请求。 该技术可以包括确定每个听众用户的首选语言。 该技术可以包括获得用于每个翻译请求的机器翻译的媒体馈送,对应于媒体馈送从源语言到与翻译请求相关联的收听者用户的首选语言的翻译的机器翻译的媒体馈送。 该技术还可以包括将机器翻译的媒体馈送输出到听众计算设备。

    Techniques for distributed optical character recognition and distributed machine language translation
    7.
    发明授权
    Techniques for distributed optical character recognition and distributed machine language translation 有权
    分布式光学字符识别和分布式机器语言翻译技术

    公开(公告)号:US09514376B2

    公开(公告)日:2016-12-06

    申请号:US14264296

    申请日:2014-04-29

    Applicant: Google Inc.

    CPC classification number: G06K9/00979 G06F17/289 G06K2209/01

    Abstract: A technique for selectively distributing OCR and/or machine language translation tasks between a mobile computing device and server(s) includes receiving, at the mobile computing device, an image of an object comprising a text. The mobile computing device can determine a degree of optical character recognition (OCR) complexity for obtaining the text from the image. Based on this degree of OCR complexity, the mobile computing device and/or the server(s) can perform OCR to obtain an OCR text. The mobile computing device can then determine a degree of translation complexity for translating the OCR text from its source language to a target language. Based on this degree of translation complexity, the mobile computing device and/or the server(s) can perform machine language translation of the OCR text from the source language to a target language to obtain a translated OCR text. The mobile computing device can then output the translated OCR text.

    Abstract translation: 用于在移动计算设备和服务器之间选择性地分发OCR和/或机器语言翻译任务的技术包括在移动计算设备处接收包括文本的对象的图像。 移动计算设备可以确定从图像中获得文本的光学字符识别(OCR)复杂程度。 基于这种程度的OCR复杂度,移动计算设备和/或服务器可以执行OCR以获得OCR文本。 然后,移动计算设备可以确定将OCR文本从其源语言翻译成目标语言的翻译复杂程度。 基于这种翻译复杂度,移动计算设备和/或服务器可以执行OCR文本从源语言到目标语言的机器语言翻译,以获得翻译的OCR文本。 然后,移动计算设备可以输出翻译的OCR文本。

    COORDINATED USER WORD SELECTION FOR TRANSLATION AND OBTAINING OF CONTEXTUAL INFORMATION FOR THE SELECTED WORD
    8.
    发明申请
    COORDINATED USER WORD SELECTION FOR TRANSLATION AND OBTAINING OF CONTEXTUAL INFORMATION FOR THE SELECTED WORD 审中-公开
    协调用户选择用于翻译和获取所选字词的上下文信息

    公开(公告)号:US20160342585A1

    公开(公告)日:2016-11-24

    申请号:US14714419

    申请日:2015-05-18

    Applicant: Google Inc.

    CPC classification number: G06F17/289 G06F17/21 G06F17/27 G06F17/28 G10L19/008

    Abstract: A computer-implemented technique can include receiving a selection by a user of a single word in a document in a source language, the document being displayed in a viewing application executing at the computing device, obtaining contextual information from the document that is indicative of a context of the selected word, providing the selected word and its contextual information from the viewing application to a different translation application, obtaining potential translated words using the translation application, the selected word, and its contextual information, each potential translated word being a potential translation of the selected word to a different target language that is preferred by the user, and displaying the potential translated words.

    Abstract translation: 计算机实现的技术可以包括接收用户在源语言中的文档中的单个单词的选择,该文档被显示在在计算设备处执行的观看应用程序中,从该文档获得指示一个 提供所选择的单词的上下文,将所选择的单词及其上下文信息从观看应用程序提供给不同的翻译应用程序,使用翻译应用程序,所选择的单词及其上下文信息获取潜在的翻译单词,每个潜在的翻译单词是潜在的翻译 的所选择的单词到用户优选的不同目标语言,并显示潜在的翻译单词。

    TECHNIQUES FOR PROVIDING USER IMAGE CAPTURE FEEDBACK FOR IMPROVED MACHINE LANGUAGE TRANSLATION
    9.
    发明申请
    TECHNIQUES FOR PROVIDING USER IMAGE CAPTURE FEEDBACK FOR IMPROVED MACHINE LANGUAGE TRANSLATION 有权
    提供用于提升机器语言翻译的用户图像捕获反馈的技术

    公开(公告)号:US20160203124A1

    公开(公告)日:2016-07-14

    申请号:US14594238

    申请日:2015-01-12

    Applicant: Google Inc.

    Abstract: A computer-implemented technique includes techniques are presented for user image capture feedback for improved machine language translation. When machine language translation of OCR text obtained from an initial image has a low degree of likelihood of being an appropriate translation, these techniques provide for user image capture feedback to obtain additional images to obtain a modified OCR text, which can result in improved machine language translation results. Instead of user image capture feedback, the techniques may obtain the modified OCR text by selecting another possible OCR text from the initial OCR operation. In addition to additional image capturing, light source intensity and/or a quantity/number of light source flashes can be adjusted. After obtaining the modified OCR text, another machine language translation can be obtained and, if it has a high enough degree of likelihood, it can then be output to a user.

    Abstract translation: 计算机实现的技术包括用于用户图像捕获反馈以改进机器语言翻译的技术。 当从初始图像获得的OCR文本的机器语言翻译具有适当翻译的可能性较低时,这些技术提供用户图像捕获反馈以获得附加图像以获得修改的OCR文本,这可以导致改进的机器语言 翻译结果。 代替用户图像捕获反馈,这些技术可以通过从初始OCR操作中选择另一个可能的OCR文本来获得修改的OCR文本。 除了附加的图像捕获之外,还可以调整光源强度和/或数量/数量的光源闪光。 在获得修改的OCR文本之后,可以获得另一机器语言翻译,并且如果它具有足够高的可能性,则可以将其输出给用户。

    Techniques for real-time translation of a media feed from a speaker computing device and distribution to multiple listener computing devices in multiple different languages
    10.
    发明授权
    Techniques for real-time translation of a media feed from a speaker computing device and distribution to multiple listener computing devices in multiple different languages 有权
    用于将媒体馈送从扬声器计算设备和分发实时转换到多种不同语言的多个收听者计算设备的技术

    公开(公告)号:US09542486B2

    公开(公告)日:2017-01-10

    申请号:US14289928

    申请日:2014-05-29

    Applicant: Google Inc.

    CPC classification number: G06F17/30743 G06F17/2827 G06F17/2872 G06F17/289

    Abstract: A computer-implemented technique can include receiving a media feed from a speaker computing device representing speech of a speaker user captured by the speaker computing device. The technique can include receiving a plurality of translation requests, each translation request being received from a listener computing device associated with a listener user and corresponding to a request to obtain a translated version of the media feed into a preferred language of the listener user. The technique can include determining the preferred language for each listener user. The technique can include obtaining a machine translated media feed for each of the translation requests, the machine translated media feed corresponding to a translation of the media feed from the source language to the preferred language of the listener user associated with the translation request. The technique can also include outputting the machine translated media feeds to the listener computing devices.

    Abstract translation: 计算机实现的技术可以包括从扬声器计算设备接收表示由扬声器计算设备捕获的扬声器用户的语音的媒体馈送。 该技术可以包括接收多个翻译请求,每个翻译请求都是从与收听者用户相关联的收听者计算设备接收的,并且对应于获得媒体馈送到倾听者用户的首选语言的翻译版本的请求。 该技术可以包括确定每个听众用户的首选语言。 该技术可以包括获得用于每个翻译请求的机器翻译的媒体馈送,对应于媒体馈送从源语言到与翻译请求相关联的收听者用户的首选语言的翻译的机器翻译的媒体馈送。 该技术还可以包括将机器翻译的媒体馈送输出到听众计算设备。

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