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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Autores principales: Amirhossein Tebbifakhr, Matteo Negri, Marco Turchi
Formato: article
Lenguaje:EN
Publicado: Accademia University Press 2019
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Acceso en línea:https://doaj.org/article/799e49c982374be099ce03ccbd4f40ce
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