Reinforcement Learning based Curriculum Optimization for Neural Machine Translation

We consider the problem of making efficient use of heterogeneous training data in neural machine translation (NMT). Specifically, given a training dataset with a sentence-level feature such as noise, we seek an optimal curriculum, or order for presenting examples to the system during training. Our c...

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Hauptverfasser:	Kumar, Gaurav, Foster, George, Cherry, Colin, Krikun, Maxim
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computation and Language
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