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STATISTICAL MACHINE TRANSLATION METHOD USING DEPENDENCY FOREST

机译:依赖森林的统计机器翻译方法

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.
机译:本发明涉及在基于树的统计机器翻译中多个依赖树的使用,并且提出一种依赖林以有效地处理多个依赖树。当源语言文本被转换为目标语言文本时,本发明可以通过使用依赖性森林生成翻译规则和依赖性语言模型并应用所生成的翻译规则和依赖性语言模型来提高翻译能力。

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