STATISTICAL MACHINE TRANSLATION METHOD USING DEPENDENCY FOREST
    3.
    发明申请
    STATISTICAL MACHINE TRANSLATION METHOD USING DEPENDENCY FOREST 审中-公开
    使用依赖森林的统计机器翻译方法

    公开(公告)号:US20130158975A1

    公开(公告)日:2013-06-20

    申请号:US13818137

    申请日:2011-05-31

    IPC分类号: G06F17/28

    摘要: The present invention relates to the use of a plurality of dependency trees in tree-based statistical machine translation and proposes a dependency forest to effectively process the plurality of dependency trees. The present invention can improve a translation capability by generating a translation rule and a dependency language model by using the dependency forest and applying the generated translation rule and dependency language model when a source language text is converted to a target language text.

    摘要翻译: 本发明涉及在基于树的统计机器翻译中使用多个依赖关系树,并且提出依赖林以有效地处理多个依赖关系树。 本发明可以通过在源语言文本被转换为目标语言文本时通过使用依赖性林并应用生成的翻译规则和依赖语言模型来生成翻译规则和依赖语言模型来提高翻译能力。