利索-全球专利检索

  1. 登录
  2. 注册

搜索结果

6 条记录 (耗时 0.018 秒)

    Active learning systems and methods for rapid porting of machine translation systems to new language pairs or new domains
    1.
    发明授权
    Active learning systems and methods for rapid porting of machine translation systems to new language pairs or new domains 有权
    将机器翻译系统快速移植到新语言对或新领域的主动学习系统和方法

    公开(公告)号：US08494837B2

    公开(公告)日：2013-07-23

    申请号：US13585266

    申请日：2012-08-14

    申请人： Yuqing Gao ,  Bing Xiang ,  Bowen Zhou

    发明人： Yuqing Gao ,  Bing Xiang ,  Bowen Zhou

    IPC分类号： G06F17/28

    CPC分类号： G06F17/2818

    摘要： Systems and methods for active learning of statistical machine translation systems through dynamic creation and updating of parallel corpus. The systems and methods provided create accurate parallel corpus entries from a test set of sentences, words, phrases, etc. by calculating confidence scores for particular translations. Translations with high confidence scores are added directly to the corpus and the translations with low confidence scores are presented to human translations for corrections.

    摘要翻译： 通过动态创建和更新并行语料库主动学习统计机器翻译系统的系统和方法。 所提供的系统和方法通过计算特定翻译的置信度得分，从测试语句，单词，短语等组合中创建出准确的平行语料库条目。 具有高置信度得分的翻译直接添加到语料库，并且具有低置信度分数的翻译被提供给人类翻译以进行更正。

    ACTIVE LEARNING SYSTEMS AND METHODS FOR RAPID PORTING OF MACHINE TRANSLATION SYSTEMS TO NEW LANGUAGE PAIRS OR NEW DOMAINS
    2.
    发明申请
    ACTIVE LEARNING SYSTEMS AND METHODS FOR RAPID PORTING OF MACHINE TRANSLATION SYSTEMS TO NEW LANGUAGE PAIRS OR NEW DOMAINS 有权
    主动学习系统和方法将机器翻译系统快速复制到新的语言对或新的领域

    公开(公告)号：US20120310869A1

    公开(公告)日：2012-12-06

    申请号：US13585266

    申请日：2012-08-14

    申请人： Yuqing Gao ,  Bing Xiang ,  Bowen Zhou

    发明人： Yuqing Gao ,  Bing Xiang ,  Bowen Zhou

    IPC分类号： G06F15/18

    CPC分类号： G06F17/2818

    摘要： Systems and methods for active learning of statistical machine translation systems through dynamic creation and updating of parallel corpus. The systems and methods provided create accurate parallel corpus entries from a test set of sentences, words, phrases, etc. by calculating confidence scores for particular translations. Translations with high confidence scores are added directly to the corpus and the translations with low confidence scores are presented to human translations for corrections.

    摘要翻译： 通过动态创建和更新并行语料库主动学习统计机器翻译系统的系统和方法。 所提供的系统和方法通过计算特定翻译的置信度得分，从测试语句，单词，短语等组合中创建出准确的平行语料库条目。 具有高置信度得分的翻译直接添加到语料库，并且具有低置信度分数的翻译被提供给人类翻译以进行更正。

    ACTIVE LEARNING SYSTEMS AND METHODS FOR RAPID PORTING OF MACHINE TRANSLATION SYSTEMS TO NEW LANGUAGE PAIRS OR NEW DOMAINS
    3.
    发明申请
    ACTIVE LEARNING SYSTEMS AND METHODS FOR RAPID PORTING OF MACHINE TRANSLATION SYSTEMS TO NEW LANGUAGE PAIRS OR NEW DOMAINS 有权
    主动学习系统和方法将机器翻译系统快速复制到新的语言对或新的领域

    公开(公告)号：US20110022381A1

    公开(公告)日：2011-01-27

    申请号：US12506483

    申请日：2009-07-21

    申请人： Yuqing Gao ,  Bing Xiang ,  Bowen Zhou

    发明人： Yuqing Gao ,  Bing Xiang ,  Bowen Zhou

    IPC分类号： G06F17/28 ,  G06F3/048

    CPC分类号： G06F17/2818

    摘要： Systems and methods for active learning of statistical machine translation systems through dynamic creation and updating of parallel corpus. The systems and methods provided create accurate parallel corpus entries from a test set of sentences, words, phrases, etc. by calculating confidence scores for particular translations. Translations with high confidence scores are added directly to the corpus and the translations with low confidence scores are presented to human translations for corrections.

    摘要翻译： 通过动态创建和更新并行语料库主动学习统计机器翻译系统的系统和方法。 所提供的系统和方法通过计算特定翻译的置信度得分，从测试语句，单词，短语等组合中创建出准确的平行语料库条目。 具有高置信度得分的翻译直接添加到语料库，并且具有低置信度分数的翻译被提供给人类翻译以进行更正。

    System and method for applying bridging models for robust and efficient speech to speech translation
    5.
    发明授权
    System and method for applying bridging models for robust and efficient speech to speech translation 有权
    用于将强大而有效的语音桥接模型应用于语音翻译的系统和方法

    公开(公告)号：US08566076B2

    公开(公告)日：2013-10-22

    申请号：US12128199

    申请日：2008-05-28

    申请人： Yonggang Deng ,  Yuqing Gao ,  Bing Xiang

    发明人： Yonggang Deng ,  Yuqing Gao ,  Bing Xiang

    IPC分类号： G06F17/28

    CPC分类号： G06F17/2809

    摘要： A system and method for speech translation includes a bridge module connected between a first component and a second component. The bridge module includes a transformation model configured to receive an original hypothesis output from a first component. The transformation model has one or more transformation features configured to transform the original hypothesis into a new hypothesis that is more easily translated by the second component.

    摘要翻译： 用于语音翻译的系统和方法包括连接在第一组件和第二组件之间的桥模块。 桥模块包括被配置为从第一组件接收原始假设输出的变换模型。 转换模型具有一个或多个变换特征，其被配置为将原始假设转换为更容易被第二组件翻译的新假设。

    SYSTEM AND METHOD FOR APPLYING BRIDGING MODELS FOR ROBUST AND EFFICIENT SPEECH TO SPEECH TRANSLATION
    6.
    发明申请
    SYSTEM AND METHOD FOR APPLYING BRIDGING MODELS FOR ROBUST AND EFFICIENT SPEECH TO SPEECH TRANSLATION 有权
    将语音模型应用于语音翻译的系统与方法

    公开(公告)号：US20090299724A1

    公开(公告)日：2009-12-03

    申请号：US12128199

    申请日：2008-05-28

    申请人： Yonggang Deng ,  Yuging Gao ,  Bing Xiang

    发明人： Yonggang Deng ,  Yuging Gao ,  Bing Xiang

    IPC分类号： G06F17/28

    CPC分类号： G06F17/2809

    摘要： A system and method for speech translation includes a bridge module connected between a first component and a second component. The bridge module includes a transformation model configured to receive an original hypothesis output from a first component. The transformation model has one or more transformation features configured to transform the original hypothesis into a new hypothesis that is more easily translated by the second component.

    摘要翻译： 用于语音翻译的系统和方法包括连接在第一组件和第二组件之间的桥模块。 桥模块包括被配置为从第一组件接收原始假设输出的变换模型。 转换模型具有一个或多个变换特征，其被配置为将原始假设转换为更容易被第二组件翻译的新假设。