A Corpus of Machine Translation Errors Extracted from Translation Students Exercises
Résumé
In this paper, we present a freely available corpus of automatic translations accompanied with post-edited versions, annotated with labels
identifying the different kinds of errors made by the MT system. These data have been extracted from translation students exercises that
have been corrected by a senior professor. This corpus can be useful for training quality estimation tools and for analyzing the types of
errors made MT system.
Domaines
LinguistiqueOrigine | Fichiers éditeurs autorisés sur une archive ouverte |
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