Computer Assisted Translation with Neural Quality Estimation and Automatic Post-Editing

With the advent of neural machine translation, there has been a marked shift towards leveraging and consuming the machine translation results. However, the gap between machine translation systems and human translators needs to be manually closed by post-editing. In this paper, we propose an end-to-e...

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Veröffentlicht in:	arXiv.org 2020-09
Hauptverfasser:	Wang, Jiayi, Wang, Ke, Ge, Niyu, Shi, Yangbing, Zhao, Yu, Fan, Kai
Format:	Artikel
Sprache:	eng
Schlagworte:	Editing Error correction Interpreters Machine learning Machine translation Translators
Online-Zugang:	Volltext
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