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首页> 外文会议>Workshop on discourse in machine translation >Discovery of Discourse-Related Language Contrasts through Alignment Discrepancies in English-German Translation
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Discovery of Discourse-Related Language Contrasts through Alignment Discrepancies in English-German Translation

机译：使用英语 - 德语翻译中的对齐差异来发现话语相关语言对比

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In this paper, we analyse alignment discrepancies for discourse structures in English-German parallel data - sentence pairs, in which discourse structures in target or source texts have no alignment in the corresponding parallel sentences. The discourse-related structures are designed in form of linguistic patterns based on the information delivered by automatic part-of-speech and dependency annotation. In addition to alignment errors (existing structures left unaligned), these alignment discrepancies can be caused by language contrasts or through the phenomena of explicitation and implicitation in the translation process. We propose a new approach including new type of resources for corpus-based language contrast analysis and apply it to study and classify the contrasts found in our English-German parallel corpus. As unaligned discourse structures may also result in the loss of discourse information in the MT training data, we hope to deliver information in support of discourse-aware machine translation (MT).
机译：在本文中，我们分析了英语 - 德语并行数据 - 句子对中话语结构的对齐差异，其中目标或源文本中的话语结构在相应的并行句子中没有对齐。话语相关的结构根据自动演讲和依赖性注释提供的信息，以语言模式的形式设计。除了对齐错误之外（现有结构留下未对准），这些对齐差异可能是由语言对比或通过翻译过程中的分解和丙型划分的现象引起的。我们提出了一种新的方法，包括用于基于语料库的语言对比分析的新型资源，并将其应用于学习和分类我们的英语 - 德语并行语料库中发现的对比。由于未协调的话语结构也可能导致MT培训数据中的话语信息丢失，我们希望提供支持话语感知机器翻译（MT）的信息。

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