Techniques for automatically swapping languages and/or content for machine translation
    12.
    发明授权
    Techniques for automatically swapping languages and/or content for machine translation 有权
    用于自动交换语言和/或机器翻译内容的技术

    公开(公告)号:US09524293B2

    公开(公告)日:2016-12-20

    申请号:US14460672

    申请日:2014-08-15

    Applicant: Google Inc.

    CPC classification number: G06F17/289 G06F17/275

    Abstract: A computer-implemented technique can include receiving a machine translation input specifying (i) a source text, (ii) a source language of the source text, and (iii) a target language for the source text, and obtaining a machine translation of the source text from the source language to the target language to obtain a translated source text. The technique can include determining whether to swap the source and target languages based on (i) the source text and (ii) at least one language model, and in response to determining to swap the source and target languages: swapping the source and target languages to obtain modified source and target languages, utilizing the translated source text as a modified source text, obtaining a machine translation of the modified source text from the modified source language to the modified target language to obtain a translated modified source text, and outputting the translated modified source text.

    Abstract translation: 计算机实现的技术可以包括接收指定(i)源文本的机器翻译输入,(ii)源文本的源语言,以及(iii)源文本的目标语言,以及获得 从源语言到目标语言的源文本,以获得翻译的源文本。 该技术可以包括基于(i)源文本和(ii)至少一种语言模型以及响应于确定交换源语言和目标语言来确定是否交换源语言和目标语言:交换源语言和目标语言 获取修改的源和目标语言,利用翻译的源文本作为修改的源文本,将修改的源文本的机器翻译从修改的源语言获得到修改的目标语言,以获得翻译的修改的源文本,并输出翻译的 修改源文本。

    Techniques for distributed optical character recognition and distributed machine language translation

    公开(公告)号:US09514377B2

    公开(公告)日:2016-12-06

    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 PROVIDING VISUAL TRANSLATION CARDS INCLUDING CONTEXTUALLY RELEVANT DEFINITIONS AND EXAMPLES
    14.
    发明申请
    TECHNIQUES FOR PROVIDING VISUAL TRANSLATION CARDS INCLUDING CONTEXTUALLY RELEVANT DEFINITIONS AND EXAMPLES 有权
    提供视觉翻译卡的技术,包括相关的相关定义和示例

    公开(公告)号:US20160342586A1

    公开(公告)日:2016-11-24

    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.

    Abstract translation: 计算机实现的技术可以包括以源语言接收所选择的单词,为所选择的单词获得一个或多个语音部分,以及为所述一个或多个词性部分中的每一个,将所选择的单词的候选翻译获得到 不同的目标语言,每个候选翻译对应于所选词的特定语义。 所述技术可以包括所选择的单词的每个语义意义:获得与所选择的单词的语义意义相对应的图像,以及编译翻译信息,包括(i)语义,(ii)对应的词性,( iii)图像,和(iv)至少一个对应的候选翻译。 这些技术还可以包括输出翻译信息。

    Techniques for machine language translation of text from an image based on non-textual context information from the image
    15.
    发明授权
    Techniques for machine language translation of text from an image based on non-textual context information from the image 有权
    基于来自图像的非文本上下文信息的来自图像的文本的机器语言翻译的技术

    公开(公告)号:US09436682B2

    公开(公告)日:2016-09-06

    申请号:US14313670

    申请日:2014-06-24

    Applicant: Google Inc.

    Abstract: A computer-implemented technique can include receiving, at a server from a mobile computing device, the server having one or more processors, an image including a text. The technique can include obtaining, at the server, optical character recognition (OCR) text corresponding to the text, the OCR text having been obtained by performing OCR on the image. The technique can include identifying, at the server, non-textual context information from the image, the non-textual context information (i) representing context information other than the text itself and (ii) being indicative of a context of the image. The technique can include based on the non-textual context information, obtaining, at the server, a translation of the OCR text to a target language to obtain a translated OCR text. The technique can include outputting, from the server to the mobile computing device, the translated OCR text.

    Abstract translation: 计算机实现的技术可以包括在来自移动计算设备的服务器处接收具有一个或多个处理器的服务器,包括文本的图像。 该技术可以包括在服务器处获得与文本相对应的光学字符识别(OCR)文本,通过在图像上执行OCR获得的OCR文本。 该技术可以包括在服务器处识别来自图像的非文本上下文信息,非文本上下文信息(i)表示文本本身以外的上下文信息,以及(ii)指示图像的上下文。 该技术可以包括基于非文本上下文信息,在服务器处获得OCR文本到目标语言的翻译以获得翻译的OCR文本。 该技术可以包括从服务器向移动计算设备输出翻译的OCR文本。

    TECHNIQUES FOR MACHINE LANGUAGE TRANSLATION OF TEXT FROM AN IMAGE BASED ON NON-TEXTUAL CONTEXT INFORMATION FROM THE IMAGE
    16.
    发明申请
    TECHNIQUES FOR MACHINE LANGUAGE TRANSLATION OF TEXT FROM AN IMAGE BASED ON NON-TEXTUAL CONTEXT INFORMATION FROM THE IMAGE 有权
    基于图像上非文本语境信息的机器语言翻译技术的技术

    公开(公告)号:US20150370785A1

    公开(公告)日:2015-12-24

    申请号:US14313670

    申请日:2014-06-24

    Applicant: Google Inc.

    Abstract: A computer-implemented technique can include receiving, at a server from a mobile computing device, the server having one or more processors, an image including a text. The technique can include obtaining, at the server, optical character recognition (OCR) text corresponding to the text, the OCR text having been obtained by performing OCR on the image. The technique can include identifying, at the server, non-textual context information from the image, the non-textual context information (i) representing context information other than the text itself and (ii) being indicative of a context of the image. The technique can include based on the non-textual context information, obtaining, at the server, a translation of the OCR text to a target language to obtain a translated OCR text. The technique can include outputting, from the server to the mobile computing device, the translated OCR text.

    Abstract translation: 计算机实现的技术可以包括在来自移动计算设备的服务器处接收具有一个或多个处理器的服务器,包括文本的图像。 该技术可以包括在服务器处获得与文本相对应的光学字符识别(OCR)文本,通过在图像上执行OCR获得的OCR文本。 该技术可以包括在服务器处识别来自图像的非文本上下文信息,非文本上下文信息(i)表示文本本身以外的上下文信息,以及(ii)指示图像的上下文。 该技术可以包括基于非文本上下文信息,在服务器处获得OCR文本到目标语言的翻译以获得翻译的OCR文本。 该技术可以包括从服务器向移动计算设备输出翻译的OCR文本。

    Techniques for providing lexicon data for translation of a single word speech input

    公开(公告)号:US09678954B1

    公开(公告)日:2017-06-13

    申请号:US14926175

    申请日:2015-10-29

    Applicant: Google Inc.

    Abstract: Computer-implemented techniques can include capturing, by a microphone associated with a computing device having one or more processors, a speech input from a user, the speech input comprising a single word in a source language, and in response to receiving the speech input from the user, performing a plurality of actions. The plurality of actions can include identifying, by the computing device, the source language of the single word and a target language that is associated with the user, obtaining, by the computing device, one or more translated words that are each a potential translation of the single word to the target language, obtaining, by the computing device, lexicon data for the one or more translated words, the lexicon data relating to at least one semantic meaning of the one or more translated words, and displaying, by the computing device, the lexicon data.

    TECHNIQUES FOR AUTOMATICALLY SWAPPING LANGUAGES AND/OR CONTENT FOR MACHINE TRANSLATION
    19.
    发明申请
    TECHNIQUES FOR AUTOMATICALLY SWAPPING LANGUAGES AND/OR CONTENT FOR MACHINE TRANSLATION 有权
    自动切换语言和/或内容的机器翻译技术

    公开(公告)号:US20160048505A1

    公开(公告)日:2016-02-18

    申请号:US14460672

    申请日:2014-08-15

    Applicant: Google Inc.

    CPC classification number: G06F17/289 G06F17/275

    Abstract: A computer-implemented technique can include receiving a machine translation input specifying (i) a source text, (ii) a source language of the source text, and (iii) a target language for the source text, and obtaining a machine translation of the source text from the source language to the target language to obtain a translated source text. The technique can include determining whether to swap the source and target languages based on (i) the source text and (ii) at least one language model, and in response to determining to swap the source and target languages: swapping the source and target languages to obtain modified source and target languages, utilizing the translated source text as a modified source text, obtaining a machine translation of the modified source text from the modified source language to the modified target language to obtain a translated modified source text, and outputting the translated modified source text.

    Abstract translation: 计算机实现的技术可以包括接收指定(i)源文本的机器翻译输入,(ii)源文本的源语言,以及(iii)源文本的目标语言,以及获得 从源语言到目标语言的源文本,以获得翻译的源文本。 该技术可以包括基于(i)源文本和(ii)至少一种语言模型来确定是否交换源语言和目标语言,并且响应于确定交换源语言和目标语言:交换源语言和目标语言 获取修改的源和目标语言,利用翻译的源文本作为修改的源文本,将修改的源文本的机器翻译从修改的源语言获得到修改的目标语言,以获得翻译的修改的源文本,并输出翻译的 修改源文本。

    TECHNIQUES FOR DISTRIBUTED OPTICAL CHARACTER RECOGNITION AND DISTRIBUTED MACHINE LANGUAGE TRANSLATION
    20.
    发明申请
    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语言翻译技术

    公开(公告)号:US20150310290A1

    公开(公告)日:2015-10-29

    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。

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