Can translationese features help users select an MT system for post-editing?

This work explores the possibility of using translationese features as indicators of machine translation quality for users to select an MT system for post-editing assuming that a lower level of translationese will reveal a reduced need for editing. Results reveal that translationese and automatic me...

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Bibliographic Details
Published in:Procesamiento del Lenguaje Natural 2020-03, Vol.64, p.93
Main Author: Aranberri, Nora
Format: Article
Language:English
Subjects:
Editing
Machine translation
Translations
Online Access:Get full text
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Description
Summary:This work explores the possibility of using translationese features as indicators of machine translation quality for users to select an MT system for post-editing assuming that a lower level of translationese will reveal a reduced need for editing. Results reveal that translationese and automatic metrics rank systems differently, opening an avenue for further research into the information each provides.
ISSN:1135-5948
1989-7553
DOI:10.26342/2020-64-11