Multi-source Transformer for Automatic Post-Editing of Machine Translation Output

Automatic post-editing (APE) of machine translation (MT) is the task of automatically fixing errors in a machine-translated text by learning from human corrections. Recent APE approaches have shown that best results are obtained by neural multi-source models that correct the raw MT output by also co...

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Bibliographic Details
Main Authors: Amirhossein Tebbifakhr, Matteo Negri, Marco Turchi
Format: Article
Language:English
Published: Accademia University Press 2019-06-01
Series:IJCoL
Online Access:https://journals.openedition.org/ijcol/464
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