Selecting Artificially-Generated Sentences for Fine-Tuning Neural Machine Translation

Proceedings of the 12th International Conference on Natural Language Generation (INLG 2019) Neural Machine Translation (NMT) models tend to achieve best performance when larger sets of parallel sentences are provided for training. For this reason, augmenting the training set with artificially-genera...

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Hauptverfasser:	Poncelas, Alberto, Way, Andy
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computation and Language
Online-Zugang:	Volltext bestellen
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