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The CMU Machine Translation Systems at WMT 2014

机译:2014年WMT的CMU机器翻译系统

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摘要

We describe the CMU systems submitted to the 2014 WMT shared translation task. We participated in two language pairs, German-English and Hindi-English. Our innovations include: a label coarsening scheme for syntactic tree-to-tree translation, a host of new discriminative features, several modules to create "synthetic translation options" that can generalize beyond what is directly observed in the training data, and a method of combining the output of multiple word aligners to uncover extra phrase pairs and grammar rules.
机译:我们描述了提交给2014 WMT共享翻译任务的CMU系统。我们参加了两种语言对,德语-英语和北印度语-英语。我们的创新包括:用于树到树的句法翻译的标签粗化方案,许多新的区分功能,创建“合成翻译选项”的多个模块,这些模块可以推广到训练数据中直接观察到的范围之外,以及一种组合多个单词对齐器的输出以发现额外的短语对和语法规则。

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  • 来源
  • 会议地点 Baltimore MA(US)
  • 作者单位

    Language Technologies Institute Carnegie Mellon University Pittsburgh, PA 15213 USA;

    Language Technologies Institute Carnegie Mellon University Pittsburgh, PA 15213 USA;

    Language Technologies Institute Carnegie Mellon University Pittsburgh, PA 15213 USA;

    Language Technologies Institute Carnegie Mellon University Pittsburgh, PA 15213 USA;

    Language Technologies Institute Carnegie Mellon University Pittsburgh, PA 15213 USA;

    Language Technologies Institute Carnegie Mellon University Pittsburgh, PA 15213 USA;

    Language Technologies Institute Carnegie Mellon University Pittsburgh, PA 15213 USA;

    Language Technologies Institute Carnegie Mellon University Pittsburgh, PA 15213 USA;

    Language Technologies Institute Carnegie Mellon University Pittsburgh, PA 15213 USA;

    Language Technologies Institute Carnegie Mellon University Pittsburgh, PA 15213 USA;

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  • 正文语种 eng
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