The Karlsruhe Institute of Technology Systems for the News Translation Task in WMT 2017

机译：卡尔斯鲁厄技术系统学院在WMT 2017上进行新闻翻译

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We present our experiments in the scope of the news translation task in WMT 2017, in three directions. German→English, English→German and English→Latvian. The core of our systems is the encoder-decoder based neural machine translation models , enhanced with various modeling features, additional source side augmentation and output rescoring We also experiment various methods in data selection and adaptation.

机译：我们在三个方向介绍了WMT 2017新闻翻译任务范围内的实验。德语→英语，英语→德语和英语→拉脱维亚语。我们系统的核心是基于编码器-解码器的神经机器翻译模型，具有各种建模功能，额外的源端扩充和输出记录功能。我们还在数据选择和适配方面尝试了各种方法。

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《Second conference on machine translation》|2017年|366-373|共8页
会议地点 Copenhagen(DK)
作者
Ngoc-Quan Pham; Jan Niehues; Thanh-Le Ha; Eunah Cho; Matthias Sperber; Alexander Waibel;
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Karlsruhe Institute of Technology, Karlsruhe, Germany;

Karlsruhe Institute of Technology, Karlsruhe, Germany;

Karlsruhe Institute of Technology, Karlsruhe, Germany;

Karlsruhe Institute of Technology, Karlsruhe, Germany;

Karlsruhe Institute of Technology, Karlsruhe, Germany;

Karlsruhe Institute of Technology, Karlsruhe, Germany;

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The Karlsruhe Institute of Technology Systems for the News Translation Task in WMT 2017

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